Govardhana is available for hire
Hire GovardhanaGovardhana Miriyala Kannaiah
Verified Expert in Engineering
Cloud Architect and Developer
Chittoor, Andhra Pradesh, India
Toptal member since February 20, 2023
Bio
Govardhana is an AWS-certified solutions architect with 17 years of professional experience in cloud engineering, DevOps, SRE, and technical consulting. He is a seasoned expert in designing, implementing, and managing ITSM, SRE, DevOps, and cloud-based solutions with a variety of tools and platforms. An effective communicator and go-to person in crucial situations, Govardhana has high business acumen skills and a passion for solving challenging business problems.
Portfolio
Woven Planet Holdings, Inc. - Main
Amazon Web Services (AWS), Cloud Networking, Infrastructure as Code (IaC)...
Zenfetch Inc. DBA GovEagle
DevOps, Kubernetes, Helm, Celery, Docker, Grafana, Prometheus...
7-Eleven
Grafana, Observability Tools, Python, Celery, Rust, CI/CD Pipelines, DevOps, Go...
Experience
- DevOps - 12 years
- Amazon Web Services (AWS) - 8 years
- AWS Cloud Architecture - 8 years
- ServiceNow - 8 years
- Terraform - 5 years
- Kubernetes - 5 years
- Azure Kubernetes Service (AKS) - 4 years
- Amazon Bedrock AgentCore - 2 years
Preferred Environment
Amazon Web Services (AWS), Kubernetes, Continuous Integration (CI), Cloud, DevOps, Terraform, CI/CD Pipelines, ServiceNow, IT Service Management (ITSM), Amazon Bedrock AgentCore
The most amazing...
...work I've done was a large-scale migration of infrastructure in AWS to the cloud—consumed by 2+ million customers—within six months for Singtel.com.
Work Experience
DevSecOps and Cloud Network Engineer
2025 - 2026
Woven Planet Holdings, Inc. - Main
- Architected and provisioned AWS infrastructure (VPC, compute, storage, etc.) via Terraform, standardizing IaC across production platforms and cutting manual provisioning time.
- Built GitLab CI/CD pipelines with automated SAST, DAST, SCA, security gates, and secrets scanning for production workloads.
- Integrated Trivy, Snyk, SonarQube, and OWASP ZAP into CI/CD pipelines to identify security issues before deployment.
- Built CI/CD workflows using GitHub Actions, GitLab CI/CD pipelines, automating deployment rollouts, SAST, DAST, SCA, security gates, and secrets scanning for production workloads.
- Containerized application workflows using Docker, reducing deployment time by 40% and improving environment portability.
- Implemented least-privilege access controls using AWS IAM and SSO across multiple AWS accounts and environments.
- Created reusable Terraform modules to enforce infrastructure as code standards, accelerating adoption and reducing manual provisioning errors.
- Secured ECS Fargate workloads with container scanning, IAM task roles, network controls, and secrets management.
- Built observability pipelines using Prometheus, Grafana, and Loki for application, infrastructure, and container monitoring.
Technologies: Amazon Web Services (AWS), Cloud Networking, Infrastructure as Code (IaC), CI/CD Pipelines, Terraform, Terraform Cloud, Palo Alto Networks, NAT, DHCP, Amazon Bedrock AgentCore, Google Cloud Platform (GCP), GitLab, GitLab CI/CD, Grafana, Prometheus, SonarQube, Loki, Amazon Elastic Container Service (ECS)
Platform Engineer
2025 - 2025
Zenfetch Inc. DBA GovEagle
- Automated CI/CD pipelines using GitLab integrated with AKS and EKS for deploying workloads at scale.
- Architected secure multi-account AWS environments using Terraform, AWS Organizations, IAM, and standardized infrastructure modules.
- Created reusable Terraform modules to standardize AWS infrastructure provisioning across multiple accounts and environments.
- Added automated security checks to GitLab pipelines to block vulnerable code, dependencies, containers, and configuration changes.
- Built Grafana dashboards using Prometheus metrics and Loki logs to monitor application health, infrastructure, and production issues.
- Established blue-green and canary deployment strategies for rollouts to minimize production risk.
- Secured application credentials using AWS Secrets Manager and removed sensitive values from source code and deployment configurations.
Technologies: DevOps, Kubernetes, Helm, Celery, Docker, Grafana, Prometheus, Amazon Web Services (AWS), Site Reliability Engineering (SRE), Python, Karpenter, Terraform, GitHub Actions, Bash, Apache Kafka, CI/CD Pipelines, ELK (Elastic Stack), Machine Learning, Python 3, Data Orchestration, MLflow, ML Pipelines, GitLab CI/CD, Azure
Power BI Consultant
2025 - 2025
7-Eleven
- Created highly interactive Power BI dashboards with drill-through, tooltips, and slicers to enable intuitive executive exploration.
- Developed KPI scorecards and trendline visualizations to track marketing performance and price chain fluctuations over time.
- Integrated Power BI solutions with complex multi-source data inputs, including ERP, CRM, and third-party systems.
- Implemented conditional formatting and dynamic visuals to highlight critical business thresholds in real time.
- Automated scheduled reporting and alerting pipelines in Power BI for real-time stakeholder visibility.
- Established seamless integration with the existing User 360 Power BI infrastructure to unify customer analytics.
- Optimized Power BI DAX calculations and query performance tuning for high-volume datasets.
- Configured Single Sign-on (SSO) for platforms, enhancing security and simplifying developer access management.
Technologies: Grafana, Observability Tools, Python, Celery, Rust, CI/CD Pipelines, DevOps, Go, Docker, GitLab, Single Sign-on (SSO), Microsoft Power BI
DevOps Consultant
2024 - 2025
Novartis
- Deployed, scaled, and synchronized Elasticsearch clusters, achieving 99.99% uptime and improving query performance by 30% for mission-critical workloads.
- Migrated legacy Jenkins pipelines into GitLab CI/CD, reducing pipeline execution time by 30% and consolidating governance under GitLab.
- Automated cluster lifecycle management using Helm and Kubernetes, reducing manual deployment overhead by 50% and increasing release reliability.
- Established SonarQube quality gates in CI/CD workflows, driving a 40% reduction in code defects before production releases.
- Configured Single Sign-on (SSO) for DevOps platforms, cutting authentication-related incidents by 60% while simplifying user onboarding.
- Developed optimized automation scripts in Python, Bash, and Go, saving 20+ engineer hours per week on recurring operational tasks.
- Implemented secure workflows with IAM, RBAC, and CI/CD governance, ensuring compliance with enterprise security standards and reducing access risks by 40%.
- Deployed long-term storage with Thanos for Prometheus, extending historical metric visibility from 15 days to a year.
- Implemented proactive health monitoring and alerting using platform-native observability tools and custom dashboards.
Technologies: DevOps, Content Delivery Networks (CDN), Rust, GitLab CI/CD, DNS, SSL, Vercel, Monitoring, Single Sign-on (SSO), Multiple Factor Analysis (MFA), PCI, Personally Identifiable Information (PII), Pulumi, Google Cloud Platform (GCP), GitHub, Kubernetes, Helm, AWS CloudFormation, Terraform, CI/CD Pipelines, Python, pulumi, Elasticsearch, Prometheus, Grafana
Platform Engineer | Cloud Native Workloads
2024 - 2025
Ankra
- Designed and implemented KEDA-based Kubernetes job orchestration using AWS SQS, enabling fine-grained autoscaling for asynchronous workloads.
- Optimized KEDA trigger configurations for high-throughput queue processing, reducing idle pod time and improving system efficiency.
- Integrated OpenTelemetry with Prometheus/Grafana to enable distributed tracing and detailed metrics pipelines.
- Developed Helm-based CI/CD workflows using GitHub Actions, enabling automated rollouts and environment consistency.
- Automated MTTR tracking through correlation of historical Prometheus alerts and Grafana dashboard trends.
- Created reusable Terraform modules to enforce infrastructure-as-code standards and accelerate team adoption.
- Refactored Python services to support stateless execution in autoscaled Kubernetes job environments.
Technologies: Observability Tools, Site Reliability Engineering (SRE), Grafana, OpenTelemetry, Kubernetes, AWS IoT, Python, Celery, Redis, Kubernetes Event-driven Autoscaler (KEDA), Prometheus, Helm, Karpenter, Terraform, GitHub Actions, Amazon Simple Queue Service (SQS), Content Delivery Networks (CDN), Rust, Pulumi, Data Orchestration, MLflow, ML Pipelines
Observability Specialist
2021 - 2025
Novartis
- Built executive dashboards for marketing attribution and supply chain analytics to enable leadership decision-making.
- Implemented Power BI service administration, role-based security, and workspace governance to ensure compliance and access control.
- Built storytelling dashboards with bookmarks, navigation buttons, and custom themes for leadership presentations.
- Designed cross-filtering interactions between visuals to simplify multi-dimensional data analysis for non-technical users.
- Implemented synthetic and real user monitoring (RUM) to ensure end-user experience KPIs were met across global regions.
Technologies: Dynatrace, Observability Tools, DevOps, Grafana, Telemetry, Microsoft Power BI
ServiceNow Specialist
2024 - 2024
Hearst
- Reconciled over 5,000 network devices successfully, including Palo Alto, CDW, Meraki, and Aruba, with the CMDB, increasing data accuracy by 85%.
- Streamlined 3rd-party vendor data feeds into ServiceNow, with the update process for network gear inventory and reducing manual effort by 70%.
- Developed customized CMDB dashboards and reports, providing real-time visibility into network asset status and compliance.
- Conducted in-depth data analysis on network device performance and utilization, identifying optimization opportunities that reduced operational overhead by 20%.
- Identified workflows for network gear lifecycle management, reducing provisioning and decommissioning time.
- Enhanced CI relationships for network devices, improving data integrity and accuracy by over 80%.
Technologies: ServiceNow, Data Science, Configuration Management Databases (CMDB), Data Analysis
DevOps Engineer
2023 - 2023
ABELSoft Inc
- Successfully migrated a legacy authentication and authorization system from Identity Server 4 to Azure AD B2C, enabling seamless integration with .NET 8 and resolving critical security and scalability challenges.
- Architected and deployed Azure AD solutions for enterprise-level applications, leveraging OAuth2 and OpenID Connect protocols to enhance authentication and authorization workflows.
- Integrated Azure Key Vault for secure storage and management of sensitive credentials, certificates, and secrets, significantly improving the security posture of the application.
- Designed and implemented Azure solutions, optimizing resource usage and ensuring best practices in architecture and security, including deploying and managing compute instances, functions, and containerized applications.
- Established a Docker containers framework prototype to run Data Sync Agent, enhancing flexibility and scalability in the client's infrastructure.
- Utilized Docker for containerization, reducing application deployment time by 40%.
- Integrated chaos testing into CI/CD workflows, minimizing deployment failures by 30% and ensuring seamless application rollouts.
Technologies: Azure, Microsoft SQL Server, Docker, Data Synchronization, Testing
Grafana Expert
2023 - 2023
Truck Shields LLC
- Implemented innovative data visualization techniques, resulting in a 20% improvement in user accessibility and comprehension of complex datasets.
- Streamlined and optimized Grafana dashboards, leading to a 15% increase in overall system performance and responsiveness.
- Integrated new data sources into Grafana, expanding data availability and enriching dashboards, contributing to a 25% increase in comprehensive insights for decision-making.
- Developed and deployed alerting mechanisms within Grafana, ensuring real-time monitoring, which reduced critical issue resolution time by 30%.
- Conducted comprehensive training sessions on advanced Grafana functionalities for the client's team, leading to a 40% increase in internal skill sets and self-sufficiency in dashboard management.
- Customized Kibana dashboards based on specific client needs, improving data visualization and enhancing user accessibility to critical metrics.
- Integrated the entire Elastic Stack into the observability platform, providing seamless monitoring, log aggregation, and analytics for real-time insights.
- Automated log analysis by configuring Logstash to parse, filter, and forward logs to Elasticsearch, ensuring faster issue detection and resolution.
Technologies: Grafana, System Administration
DevOps Engineer
2023 - 2023
Stanford University - Center for Digital Health
- Modernized a legacy C#-based gateway system by refactoring code to align with .NET 8 standards, removing dependencies on Identity Server 4, and improving performance and maintainability.
- Configured client credential flows and custom policies in Azure AD B2C to meet complex business requirements.
- Enhanced role-based access control (RBAC) logic to integrate seamlessly with Azure AD, ensuring secure and scalable access management.
- Dockerized Databricks environments, enabling developers to effortlessly set up containerized instances within minutes on their workstations. This enhancement significantly improved workflow efficiency and accessibility.
- Introduced robust model versioning practices in Git, leading to a noteworthy 20% reduction in errors and promoting efficient collaboration among team members.
- Significantly improved Databricks GitHub CI/CD pipelines, resulting in a notable 30% reduction in deployment time for accelerated model updates.
- Streamlined the release process, achieving a substantial 15% reduction in deployment-related issues for enhanced ML deployment stability.
- Implemented chaos engineering practices using AWS Fault Injection Simulator, proactively uncovering system weaknesses and improving infrastructure resilience by 35%.
Technologies: Databricks, CI/CD Pipelines, Git Flow, Containerization, Code Versioning, DevOps, Docker, Azure, Testing
AWS Networking Engineer
2023 - 2023
HUB International (Toptal Investment) - HCC
- Deployed Direct Connect to AWS in collaboration with telecom vendors, improving network connectivity and reducing latency by 30%.
- Provisioned circuits for AWS, enhancing connectivity between AWS and the client's on-premises network infrastructure (Cisco ASA firewalls/switches), resulting in secure data transfer and a 25% reduction in data transfer costs.
- Configured networking at AWS to comply with current security standards and policies, thereby enhancing network security and compliance by 20%.
- Documented the solution configuration for reference and future maintenance, streamlining troubleshooting and onboarding processes and reducing downtime by 15%.
- Developed automated chaos testing pipelines with Terraform and AWS, reducing mean time to recovery (MTTR) for infrastructure failures by 40%.
- Conducted large-scale failure injection tests across AWS infrastructure, leading to a 25% improvement in service reliability under high-traffic conditions.
- Integrated chaos testing into CI/CD workflows, minimizing deployment failures by 30% and ensuring seamless application rollouts.
- Designed controlled fault injection scenarios for microservices, resulting in a 20% increase in fault tolerance and reducing production outages.
Technologies: Amazon Web Services (AWS), AWS Cloud Architecture, Networking, Direct Connect (DC), Cisco, Infrastructure, Network Administration, Testing
DevOps Engineer
2023 - 2023
Mahina Development Inc
- Reduced deployment time by 30% and improved the overall code quality and reliability by redesigning CI/CD pipelines in GitHub, streamlining the software development and deployment process.
- Increased pipeline performance by 20% and reduced maintenance overhead by 25% by successfully migrating CI/CD pipelines from Jenkins to GitHub Actions, leveraging the flexibility and scalability of the latter.
- Improved infrastructure as code practices, increased code reusability, and reduced deployment errors by 15% after leading the migration of infrastructure provisioning modules from Terragrunt and CloudFormation to Terraform.
- Boosted cross-team collaboration by 20% and enhanced the traceability of changes throughout the development lifecycle by integrating Jira with the CI/CD pipelines, enabling seamless tracking of issues, bug fixes, and feature development.
- Enhanced search performance and reduced data retrieval time by optimizing Elasticsearch indices and applying index lifecycle management best practices.
- Improved log ingestion and system observability by designing an efficient Logstash pipeline, streamlining log collection and forwarding across multiple sources.
- Increased operational efficiency by deploying Beats agents, enabling real-time monitoring of system metrics and health across distributed environments.
Technologies: Jira, GitHub, DevOps, CI/CD Pipelines, JavaScript, GitLab, TypeScript, GitLab CI/CD, Jenkins, Terraform, YAML, Role-based Access Control (RBAC), Serverless Architecture, Vulnerability Assessment, Amazon Simple Queue Service (SQS), AWS Fargate, Amazon Aurora, .NET, Agile DevOps, Cloud Services, Unix, Go, TCP/IP, Git Flow, Code Versioning, Google Workspace, Software Development Lifecycle (SDLC), CentOS, Amazon EC2, MongoDB, SysOps, Server Administration, Linux Server Administration, VPS/VDS, ECS, Linux Kernel, Technical Documentation, Web Servers, Apache, Network Administration, Web Application Firewall (WAF), WordPress, Microsoft 365, ASP.NET, Active Server Pages (ASP), Machine Learning Operations (MLOps), Team Leadership, Azure Active Directory, Azure Key Vault, Azure App Service, Azure Application Insights, Azure SQL Databases, API/Services Architecture, Event-driven Architecture, OpenAPI, Virtual Machines, Infrastructure, InfluxDB, ELK (Elastic Stack)
Cloud Architect
2022 - 2023
Altimetrik (Novartis Onsite)
- Developed a robust AWS architecture proposal facilitating the seamless deployment of a financial platform onto AWS, meeting project timelines and requirements while reducing implementation costs by 10%.
- Deployed AWS resources using infrastructure as code (IaC) with Terraform, resulting in a 60% reduction in deployment time and improved resource consistency across environments.
- Implemented Amazon EKS to host containers and optimized EKS cluster performance by implementing horizontal pod autoscaling (HPA), resulting in a 70% reduction in infra costs compared to traditional VM-based deployments.
- Designed and implemented EKS cluster networking with Amazon Virtual Private Cloud (VPC) integration, resulting in a 30% improvement in network latency and optimized communication between services.
- Leveraged expertise in Amazon SageMaker and AutoML, optimizing the performance of machine learning models and enhancing the platform's capabilities on AWS, resulting in a 30% increase in model accuracy and overall platform performance.
- Implemented security and compliance measures tailored for the government sector, achieving a 25% increase in compliance adherence and ensuring that the AWS platform met all necessary security standards and regulations.
- Integrated GitHub Actions CI/CD deployment and secrets management, resulting in a 70% reduction in manual deployment tasks and improved overall release efficiency.
- Implemented advanced security measures in EKS, such as pod security policies, RBAC strategies in new environments, and network policies, resulting in a 75% reduction in security incidents and improved compliance.
- Worked as a DevOps Consultant in a team of 16, solving challenges in managing multi-cloud infrastructure across AWS and Azure.
- Designed the Crossplane setup, integrating it with CI/CD pipelines, and training the team to use it effectively.
Technologies: Infrastructure as Code (IaC), Terraform, Amazon Web Services (AWS), Kubernetes
Jira Administrator
2014 - 2022
Independent Consulting
- Customized complex Jira workflows and schema configurations for 50+ teams, improving issue resolution efficiency by 45%.
- Migrated 10+ Jira instances across multiple environments, ensuring 100% data integrity and reducing performance issues by 30%.
- Maintained overall health and availability of Atlassian products (Jira, Confluence, Crowd) for over 5,000 users.
- Developed and deployed four custom 3rd-party plugins using Python, automating 70% of manual reporting tasks.
- Conducted eight Jira version upgrades from 6.x to 8.x, improving system stability and reducing errors by 50%.
- Optimized Jira performance by implementing clustering and load balancing, reducing response times by 35% for over 1,200 active users.
- Automated user provisioning via integration with Active Directory, reducing administrative overhead by 50% for 3,000+ users.
- Designed custom permission schemes and security protocols, ensuring compliance with industry regulations and improving access control by 90%.
- Built advanced Jira dashboards with real-time reporting, increasing project transparency for C-level executives by 80%.
- Implemented data migration strategies for large-scale Jira instances with over 500,000 issues, ensuring seamless transitions.
Technologies: Atlassian, Jira, Confluence, Nexus, Crucible, Python, SQL
Transformation Leader | DevOps and Cloud
2018 - 2020
Deutsche Bank
- Established Argo CD with a pull-based GitOps approach, enabling secure, automated updates across hundreds of microservices and improving deployment reliability.
- Introduced strong versioning practices in Git, reducing errors by 20% and enhancing collaboration among team members.
- Implemented blue/green deployments to smoothly transition traffic to new versions only after thorough testing, reducing production disruptions.
- Applied canary deployments, gradually rolling out updates to a smaller user group, allowing early detection of issues and maintaining stable releases.
- Achieved a 30% decrease in deployment failures and significantly reduced recovery times, enhancing resilience and supporting Deutsche Bank’s secure, continuous growth.
- Reduced manual interventions with automated rollback capabilities in Argo CD, minimizing potential downtime during critical updates.
- Increased operational efficiency by streamlining the deployment pipeline, allowing faster time to market for application updates across Deutsche Bank’s Kubernetes infrastructure.
Technologies: Kubernetes, Argo CD, GitOps, Amazon Web Services (AWS), GitHub
Senior Technical Consultant
2014 - 2019
Freelance Clients
- Performed a large-scale 6-month cloud migration for Singtel.com. Migrated an on-premise infrastructure from Optus in Australia to Singapore and aligned with Singtel's infrastructure in AWS, which 2+ million users consumed.
- Implemented an open API platform architecture for Singtel.com in the cloud, allowing 3rd-party vendors such as Netflix and DBS to quickly connect to the platform and provide services to Singtel users, which reduced onboarding time by 90%.
- Implemented Kubernetes for container orchestration, improving application scalability and resource utilization by 30%.
- Automated the AWS onboarding process using AWS CloudFormation StackSets, resulting in a 70% reduction in manual intervention and a 60% increase in deployment efficiency.
- Introduced AWS Organizations to one of the leading banks for better control of 60+ AWS accounts and established well-architected landing zones along with AWS Control Tower to quickly scale infrastructure environments as per business needs.
- Designed secure and high-performance EKS cluster networking, resulting in a 30% reduction in network latency and a 75% decrease in security incidents.
- Designed and implemented CI/CD pipelines, automating the software delivery process and reducing deployment time by 50%.
- Enabled end-to-end traceability from planning to production deployments with Jira, Bitbucket, Jenkins, Ansible, ECR, EKS, and Slack integration. Each stakeholder belonging to different teams was always aware of the status.
- Enhanced scalability and flexibility of the monitoring system by migrating from traditional logging tools to the Elastic Stack, improving data handling and retention.
- Streamlined root cause analysis by setting up Kibana alerts and visualizations, allowing for quicker identification of system anomalies and reducing troubleshooting time.
Technologies: Jenkins, Git, Subversion (SVN), Jira Administrator, T24 Bank Software, Apache Maven, SonarQube, Static Application Security Testing (SAST), Ansible, Ansible Tower, Docker, Python, Nexus, Amazon Web Services (AWS), OpenShift, GitOps, Puppet, AWS Cloud Architecture, Cloud Migration, Terraform, ELK (Elastic Stack), GitLab, Grafana, Shell, Bash Script, Cloud Security, CI/CD Pipelines, SQL, Linux, Shell Scripting, MySQL, Amazon CloudWatch, AWS CloudFormation, Confluence, GitHub, Jira, Artifactory, Cost Reduction & Optimization (Cost-down), Disaster Recovery Plans (DRP), VMware, Security, Computer Networking, Azure DevOps, Monitoring, Database Migration, Amazon RDS, IIS SQL Server, Data Migration, GitLab CI/CD, CloudOps, PostgreSQL, AWS Command Line Interface (CLI), AWS IAM, Cloud Architecture, Redshift, AWS Lambda, AWS Glue, Containers, Personally Identifiable Information (PII), Cloud Computing, SSL, Load Balancers, IT Security, DNS, Google Cloud Platform (GCP), Leadership, AWS DevOps, Amazon EC2, AWS Certified Solution Architect, Architecture, Amazon Virtual Private Cloud (VPC), CircleCI, Delivery Management, Java, Amazon S3 (AWS S3), Amazon DynamoDB, Microsoft Exchange, System Administration, Microsoft Exchange Online, HIPAA Compliance, Azure DevOps Services, Documentation, Audits, Cloud Infrastructure, HITRUST Certification, SecOps, Kibana, HAProxy, Web Security, Configuration Management, Networks, Bash, Kubernetes, Application Security, DevOps Engineer, Node.js, VPN, Redis, .NET Core, Talend ETL, ServiceNow, Solution Architecture, Serverless, OAuth, Firewalls, Access Control, Technical Leadership, Elastic Load Balancers, Container Orchestration, Web Applications, GraphQL, YAML, Azure, IIS, Azure Kubernetes Service (AKS), Windows PowerShell, Azure Virtual Networks, Role-based Access Control (RBAC), Serverless Architecture, Azure IaaS, Authentication, Authorization, Logstash, Splunk, APIs, Vulnerability Assessment, QualysGuard, AWS NAT Gateway, New Relic, IT Support, Amazon Simple Queue Service (SQS), AWS Fargate, Amazon Aurora, AWS CodeBuild, Amazon Elastic Container Service (ECS), Agile DevOps, Amazon WorkSpaces, Open Neural Network Exchange (ONNX), Enterprise Architecture, Microservices Architecture, Containerization, Cloud Services, Amazon API, Unix, TCP/IP, Networking, Git Flow, Code Versioning, AWS IoT, Ruby on Rails (RoR), Elasticsearch, AWS Certified Developer, API Gateways, Security Policies & Procedures, Direct Connect (DC), IOPS, SQL Performance, Database Optimization, Identity & Access Management (IAM), Google Workspace, Software Development Lifecycle (SDLC), NGINX, CentOS, C++, SaaS, Software Architecture, GitHub Actions, Amazon Simple Email Service (SES), Amazon MSK, Amazon ElastiCache, SysOps, Server Administration, Linux Server Administration, VPS/VDS, ECS, Linux Kernel, Technical Documentation, Microsoft SQL Server, Web Servers, Apache, Network Administration, Web Application Firewall (WAF), AWS Elastic Beanstalk, Cybersecurity, Web Scalability, WordPress, Amazon Route 53, Internet Information Services (IIS), TypeScript, Team Leadership, Azure Active Directory, Azure Key Vault, Azure App Service, Azure Application Insights, Azure SQL Databases, API/Services Architecture, Event-driven Architecture, C#, Virtual Machines, Software Engineering, Docker Compose, Amazon Lightsail, Data Science, Data Analysis, API Integration, Infrastructure
Senior Consultant
2016 - 2017
Match Move Pay Pte Ltd
- Managed end-to-end delivery of a B2C fintech application, enabling customers to spend, send, and lend money efficiently.
- Participated in product roadmap discussions actively, providing insights and recommendations for future enhancements and innovations in the fintech space.
- Developed and executed project plans, including defining project scope, objectives, deliverables, and timelines.
- Led cross-functional teams and effectively coordinated with stakeholders to ensure timely and high-quality delivery of features and enhancements.
Technologies: Agile, Configuration Management, Bash, Kubernetes, Application Security, DevOps Engineer, Solution Architecture, Serverless, Firewalls, Access Control, Elastic Load Balancers, Web Applications, Role-based Access Control (RBAC), Vulnerability Assessment, AWS NAT Gateway, IT Support, Microservices Architecture, Unix, TCP/IP, Networking, Code Versioning, AWS Certified Developer, API Gateways, Software Development Lifecycle (SDLC), CentOS, SaaS, Amazon Simple Email Service (SES), Amazon EC2, SysOps, Server Administration, Linux Server Administration, Linux Kernel, Technical Documentation, Microsoft SQL Server, Network Administration, Amazon Route 53, ServiceNow, C#, Docker Compose, Data Science, Data Analysis, API Integration, Infrastructure
ServiceNow Consultant
2013 - 2014
Wipro
- Integrated over 5,000 assets into the CMDB within six months, reducing asset tracking time by 60%.
- Configured CI classes and relationships, achieving 95% accuracy in asset relationships and dependencies.
- Automated discovery processes, decreasing manual asset updates by 80%.
- Developed customized CMDB reports, enhancing transparency and supporting data-driven decision-making.
- Designed scalable ServiceNow architecture to accommodate future asset growth and evolving business needs.
- Conducted comprehensive user training sessions, improving CMDB adoption and reducing data entry errors by 25%.
Technologies: Shell Scripting, Monitoring, Documentation, Bash, Configuration Management Databases (CMDB), ServiceNow, ITIL, IT Service Management (ITSM)
Software Configuration Manager
2012 - 2013
NCR
- Introduced the continuous integration (CI) framework with Hudson and integrated the CI jobs with Subversion and Jira, which enabled automation and traceability.
- Developed an automation script to migrate 70+ MKS source code repositories with checkpoints and history to Subversion to speed up the migration process by more than 80%, resulting in offloading MKS earlier than planned.
- Created an automatic rollback script, which enabled the automated recovery of failed production deployment to a stable working version, avoiding delays and production outages. Otherwise, a manual trigger was needed for each fault iteration.
Technologies: Subversion (SVN), Hudson, Jira Administrator, Shell, Bash Script, Linux, Jira, Documentation, Web Applications, Unix, Code Versioning, Software Development Lifecycle (SDLC)
Senior System Executive
2010 - 2011
Cognizant
- Automated database updates with scripting, which enabled the seamless application of received SQL files to the database and saved the team at least 20 working hours per week.
- Introduced the build and unit testing with the Hudson CI framework, which enabled faster feedback to developers on the fixed compilation, improving execution time by more than 60%.
- Performed 30+ production releases covering all end-to-end aspects, from development, build, and unit testing to deployment across various environments.
Technologies: Hudson, Subversion (SVN), ServiceNow, IBM Tivoli, Release Management, Deployment, ITIL, Linux, Documentation, Unix, Code Versioning, Software Development Lifecycle (SDLC)
Build and Release Engineer
2007 - 2010
LTIMindtree
- Revamped a branching and merging strategy by introducing a feature branch concept, which drastically reduced merge conflicts.
- Ran a simple PoC with cruise control and CVS, which was later approved and used extensively as a CI automation framework across business units.
- Oversaw 50+ production deployments and acted as a trusted problem solver in the space of build, release, and deployment management.
Technologies: CruiseControl, CVS, IBM Tivoli, Smoke Testing, Documentation, Unix, Code Versioning, Software Development Lifecycle (SDLC)
Experience
DevSecOps and Cloud Engineer for a Automative Company
https://woven.toyota/en/Deliverables:
• Architected secure multi-account AWS environments using Terraform, AWS Organizations, IAM, and standardized infrastructure modules.
• Built GitLab CI/CD pipelines with automated SAST, DAST, SCA, security gates, and secrets scanning for production workloads.
• Secured ECS Fargate workloads with container scanning, IAM task roles, network controls, and secrets management.
• Integrated Trivy, Snyk, SonarQube, and OWASP ZAP into CI/CD pipelines to identify security issues before deployment.
• Designed secure AWS networking using VPCs, private subnets, routing controls, security policies, and AWS WAF.
• Built observability pipelines using Prometheus, Grafana, and Loki for application, infrastructure, and container monitoring.
• Implemented AWS GuardDuty and Security Hub to centralize security findings, detect threats, and support remediation workflows.
• Automated infrastructure provisioning and security controls using reusable Terraform modules across development and production environments.
• Managed application secrets securely through AWS Secrets Manager and automated secrets integration within CI/CD and container workloads.
• Architected secure multi-account AWS environments using Terraform, AWS Organizations, IAM, and standardized infrastructure modules.
• Built GitLab CI/CD pipelines with automated SAST, DAST, SCA, security gates, and secrets scanning for production workloads.
• Secured ECS Fargate workloads with container scanning, IAM task roles, network controls, and secrets management.
• Integrated Trivy, Snyk, SonarQube, and OWASP ZAP into CI/CD pipelines to identify security issues before deployment.
• Designed secure AWS networking using VPCs, private subnets, routing controls, security policies, and AWS WAF.
• Built observability pipelines using Prometheus, Grafana, and Loki for application, infrastructure, and container monitoring.
• Implemented AWS GuardDuty and Security Hub to centralize security findings, detect threats, and support remediation workflows.
• Automated infrastructure provisioning and security controls using reusable Terraform modules across development and production environments.
• Managed application secrets securely through AWS Secrets Manager and automated secrets integration within CI/CD and container workloads.
Centralized Logging and Monitoring Solution for Retail Client
A retail client needed to improve system visibility and operational efficiency across their multi-platform environment. Their existing logging infrastructure couldn’t handle high traffic volumes, leading to delayed issue detection and response.
SOLUTION
• Implemented the Elastic Stack (Elasticsearch, Logstash, Kibana, and Beats) for centralized log management and monitoring.
• Deployed Beats to collect logs from eCommerce sites and in-store systems, enhancing system visibility.
• Built Logstash pipelines to filter and enrich logs, optimizing data quality and storage.
• Created tailored Kibana dashboards for real-time monitoring of key business metrics.
• Integrated alerting in Kibana, improving incident response and reducing resolution time.
• Scaled Elasticsearch to handle peak traffic without performance degradation.
SOLUTION
• Implemented the Elastic Stack (Elasticsearch, Logstash, Kibana, and Beats) for centralized log management and monitoring.
• Deployed Beats to collect logs from eCommerce sites and in-store systems, enhancing system visibility.
• Built Logstash pipelines to filter and enrich logs, optimizing data quality and storage.
• Created tailored Kibana dashboards for real-time monitoring of key business metrics.
• Integrated alerting in Kibana, improving incident response and reducing resolution time.
• Scaled Elasticsearch to handle peak traffic without performance degradation.
Trading Data Visualization Platform
A leading investment firm aimed to enhance its data visualization and reporting capabilities to improve decision-making processes and facilitate more insightful analysis of market trends and portfolio performance.
SOLUTION
• Implemented an advanced Grafana solution to streamline and enhance data visualization for complex financial datasets.
• Developed customized dashboards tailored to the investment firm's needs and reporting requirements.
• Integrated diverse data sources into Grafana to provide comprehensive insights for better-informed investment strategies.
• Configured alerting systems within Grafana to enable real-time monitoring of critical market indicators and portfolio performance.
• Conducted training sessions to equip the investment firm's team with the necessary skills for self-sufficient dashboard management and utilization of Grafana's advanced functionalities.
SOLUTION
• Implemented an advanced Grafana solution to streamline and enhance data visualization for complex financial datasets.
• Developed customized dashboards tailored to the investment firm's needs and reporting requirements.
• Integrated diverse data sources into Grafana to provide comprehensive insights for better-informed investment strategies.
• Configured alerting systems within Grafana to enable real-time monitoring of critical market indicators and portfolio performance.
• Conducted training sessions to equip the investment firm's team with the necessary skills for self-sufficient dashboard management and utilization of Grafana's advanced functionalities.
Argo CD Implementation for Deutsche Bank
https://www.db.com/Deutsche Bank’s manual deployment processes created inconsistencies, delays, and security risks within its expanding Kubernetes infrastructure. With hundreds of microservices and strict regulatory requirements, the bank needed a controlled, efficient deployment system that could ensure both stability and compliance. Frequent manual interventions increased the potential for configuration drifts, compromising security and reliability.
SOLUTION
• Implemented Argo CD with a pull-based GitOps approach for fully automated, secure application updates directly from the Git repository.
• Introduced blue/green deployments to shift traffic to new versions only after comprehensive testing, minimizing disruption.
• Applied canary deployments to gradually release updates, ensuring stability by monitoring a small user segment before full rollout.
• Reduced deployment failure rates by 30% and improved recovery times.
• Enhanced auditability and compliance by verifying all changes in Git.
• Enabled automated rollback capabilities, minimizing potential downtime during critical updates.
• Streamlined deployment pipelines, accelerating the time to market for application updates across the bank’s Kubernetes infrastructure.
SOLUTION
• Implemented Argo CD with a pull-based GitOps approach for fully automated, secure application updates directly from the Git repository.
• Introduced blue/green deployments to shift traffic to new versions only after comprehensive testing, minimizing disruption.
• Applied canary deployments to gradually release updates, ensuring stability by monitoring a small user segment before full rollout.
• Reduced deployment failure rates by 30% and improved recovery times.
• Enhanced auditability and compliance by verifying all changes in Git.
• Enabled automated rollback capabilities, minimizing potential downtime during critical updates.
• Streamlined deployment pipelines, accelerating the time to market for application updates across the bank’s Kubernetes infrastructure.
Jira Modernization for Leading Bank
https://www.standardbank.co.za/The bank relied on Jira for project tracking and issue management across multiple teams. However, performance issues, outdated workflows, and inconsistent configurations caused bottlenecks and inefficiencies. Jira's configuration was decentralized and manually managed, leading to increased operational overhead. There was a need to modernize Jira, improving performance, scalability, and governance while enabling automation and self-service for the development and operations teams.
SOLUTION
• Migrated Jira instances to a scalable cloud infrastructure.
• Implemented automated workflows using Jira automation rules.
• Enabled centralized configuration management with shared project templates.
• Standardized project workflows and permissions across departments.
• Integrated Jira with key enterprise systems (HR, ITSM) for seamless data flow.
• Improved reporting and visibility with custom dashboards for real-time analytics.
• Enhanced governance by implementing role-based access control and audit logging.
SOLUTION
• Migrated Jira instances to a scalable cloud infrastructure.
• Implemented automated workflows using Jira automation rules.
• Enabled centralized configuration management with shared project templates.
• Standardized project workflows and permissions across departments.
• Integrated Jira with key enterprise systems (HR, ITSM) for seamless data flow.
• Improved reporting and visibility with custom dashboards for real-time analytics.
• Enhanced governance by implementing role-based access control and audit logging.
Jira Data Center Migration from Sydney to Singapore for Leading Telecom
The telecom provider needed to migrate its Jira infrastructure, including over 500,000 issues and 1,000 active projects, from their Sydney data center to a more modern and scalable environment in Singapore. The existing setup faced performance challenges, including high latency and outdated hardware, which impacted team collaboration and productivity. The migration needed to be seamless, with minimal downtime and full data integrity, while ensuring improved performance and scalability post-migration.
SOLUTION
• Planned and executed a phased migration strategy with zero data loss.
• Migrated Jira instances to the new Singapore data center, reducing latency by 30%.
• Ensured data integrity across 1,000+ active projects and 500,000 issues during migration.
• Implemented a high-availability setup with disaster recovery capabilities.
• Optimized Jira workflows and configurations post-migration to improve performance by 40%.
• Streamlined post-migration user access with centralized authentication systems.
• Conducted rigorous post-migration testing and performance tuning for seamless operation.
SOLUTION
• Planned and executed a phased migration strategy with zero data loss.
• Migrated Jira instances to the new Singapore data center, reducing latency by 30%.
• Ensured data integrity across 1,000+ active projects and 500,000 issues during migration.
• Implemented a high-availability setup with disaster recovery capabilities.
• Optimized Jira workflows and configurations post-migration to improve performance by 40%.
• Streamlined post-migration user access with centralized authentication systems.
• Conducted rigorous post-migration testing and performance tuning for seamless operation.
Cloud Optimization
The client implemented Jenkins as the primary pipeline orchestration tool for builds and deployments. However, disruptions occurred due to Jenkins outages and instability with other dependent tools. Jenkins setup and configuration were based on a virtual machine, and there was an opportunity to align with best practices to enable standardizations, scalability, and self-service capability for development teams. Other DevOps tools that the pipeline interfaced with, such as Nexus and SonarQube, also required optimization to ensure a smooth and stable CI/CD pipeline.
SOLUTION
• Leveraged containerization for Jenkins build farm.
• Allowed Elastic build agents using Docker and Kubernetes.
• Enabled pipeline-as-code capabilities.
• Provided centralized standard pipeline libraries.
• Standardized pipeline shift-left capabilities.
• Provided streamlined build farm recovery capabilities.
SOLUTION
• Leveraged containerization for Jenkins build farm.
• Allowed Elastic build agents using Docker and Kubernetes.
• Enabled pipeline-as-code capabilities.
• Provided centralized standard pipeline libraries.
• Standardized pipeline shift-left capabilities.
• Provided streamlined build farm recovery capabilities.
Singtel Cloud Migration and Open Platform Continuous Deployment Framework
http://singtel.comHaving recently acquired a new business in Sydney, a well-established retail telecom company encounters service quality issues for its Singapore customers due to network latency from distant Sydney infrastructure. Seeking to ensure uniform service standards and faster market entry, the company plans to migrate its infrastructure to Singapore using AWS. Additionally, they require an automated continuous deployment framework for improved time to market, streamlined processes, and enhanced visibility across the delivery pipeline.
SOLUTION
• Migrated existing infrastructure from Sydney to Singapore using AWS services to reduce network latency and better serve the Singapore customer base.
• Implemented a robust continuous deployment framework leveraging AWS DevOps tools for faster time to market, streamlined processes, and enhanced visibility across the delivery pipeline.
• Ensured consistent service standards across locations by centralizing infrastructure in Singapore and leveraging AWS capabilities to maintain service quality.
• Implemented monitoring and optimization strategies to improve service quality and system performance.
SOLUTION
• Migrated existing infrastructure from Sydney to Singapore using AWS services to reduce network latency and better serve the Singapore customer base.
• Implemented a robust continuous deployment framework leveraging AWS DevOps tools for faster time to market, streamlined processes, and enhanced visibility across the delivery pipeline.
• Ensured consistent service standards across locations by centralizing infrastructure in Singapore and leveraging AWS capabilities to maintain service quality.
• Implemented monitoring and optimization strategies to improve service quality and system performance.
Cloud, Containerization, and Communication Optimization
https://www.foxcorporation.com/A leading online news and entertainment provider faced significant challenges due to their rapid growth and increasing user base. Their existing infrastructure struggled to handle the high traffic volume, resulting in performance issues and downtime. The lack of an efficient container orchestration solution also hampered the scalability and management of their containerized applications. In addition, their reliance on outdated and inefficient IRC for internal communication impeded collaboration and productivity among geographically dispersed teams.
SOLUTION
I upgraded the AWS infrastructure to enhance scalability and performance, efficiently handling high traffic volume and minimizing performance issues and downtime. I also implemented a robust container orchestration platform to manage and scale containerized applications, improving scalability and simplifying application management. Then, I enhanced the communication infrastructure (IRC), fostering collaboration and boosting productivity among geographically dispersed teams. Finally, I implemented auto-scaling mechanisms to dynamically adjust resources based on demand, maintaining optimal performance in peak traffic.
SOLUTION
I upgraded the AWS infrastructure to enhance scalability and performance, efficiently handling high traffic volume and minimizing performance issues and downtime. I also implemented a robust container orchestration platform to manage and scale containerized applications, improving scalability and simplifying application management. Then, I enhanced the communication infrastructure (IRC), fostering collaboration and boosting productivity among geographically dispersed teams. Finally, I implemented auto-scaling mechanisms to dynamically adjust resources based on demand, maintaining optimal performance in peak traffic.
Vulnerability Management Automation in CI/CD
An investment bank committed to ensuring the utmost security of its existing infrastructure, consisting of a complex network of applications and systems, including Dockerized applications, which required thorough and regular security assessments. However, the lack of a comprehensive vulnerability management solution hindered the ability to detect and mitigate vulnerabilities promptly and proactively. The absence of integration with industry-leading security tools further impeded security efforts, exposing the infrastructure to potential security breaches.
SOLUTION
• Implemented robust vulnerability management framework for Dockerized applications.
• Utilized API integrations and security platforms to enhance the organization's ability to strengthen the overall security infrastructure.
• Integrated Qualys, Splunk, and Snyk into CI/CD pipelines.
• Automated security assessments and vulnerability scans.
• Designed and implemented Terraform infrastructure-as-code for CI/CD pipelines.
• Configured Splunk alerts and dashboards for proactive monitoring and issue detection.
SOLUTION
• Implemented robust vulnerability management framework for Dockerized applications.
• Utilized API integrations and security platforms to enhance the organization's ability to strengthen the overall security infrastructure.
• Integrated Qualys, Splunk, and Snyk into CI/CD pipelines.
• Automated security assessments and vulnerability scans.
• Designed and implemented Terraform infrastructure-as-code for CI/CD pipelines.
• Configured Splunk alerts and dashboards for proactive monitoring and issue detection.
Rancher | Streamlining Kubernetes Cluster Management and Application Deployment
https://www.zeta.tech/in/A fintech startup struggled with efficient Kubernetes cluster management, hindering scaling and application deployment. The lack of a user-friendly interface added complexity and reduced productivity.
SOLUTION
I implemented Rancher as a Kubernetes cluster management tool. I leveraged Rancher's intuitive interface and robust features for streamlined cluster provisioning, resource allocation, and monitoring. The startup benefited from Rancher's advanced orchestration capabilities for seamless scaling and efficient application deployment.
SOLUTION
I implemented Rancher as a Kubernetes cluster management tool. I leveraged Rancher's intuitive interface and robust features for streamlined cluster provisioning, resource allocation, and monitoring. The startup benefited from Rancher's advanced orchestration capabilities for seamless scaling and efficient application deployment.
DevOps Optimization
https://matchmove.com/A fintech startup faced operational inefficiencies, data integrity concerns, and security vulnerabilities. Existing workflows needed optimization and scalability, data storage solutions were inadequate, and DevOps practices restrained software deployment. Additionally, testing lacked visibility, which hindered bug detection and resolution.
SOLUTION
I implemented Argo CD for efficient and scalable workflow management and deployed a distributed storage system for enhanced data storage capabilities. I integrated automated code testing and security scanning tools in CI/CD pipelines and implemented IaC with Terraform for streamlined DevOps practices. I also developed extensive test suites using frameworks like Selenium for comprehensive testing coverage. Finally, I enforced data encryption and access controls with Vault for improved security and data protection.
SOLUTION
I implemented Argo CD for efficient and scalable workflow management and deployed a distributed storage system for enhanced data storage capabilities. I integrated automated code testing and security scanning tools in CI/CD pipelines and implemented IaC with Terraform for streamlined DevOps practices. I also developed extensive test suites using frameworks like Selenium for comprehensive testing coverage. Finally, I enforced data encryption and access controls with Vault for improved security and data protection.
IaC Migration from CloudFormation To Terraform
https://matchmove.com/A fintech startup was aiming to migrate its infrastructure from AWS CloudFormation to Terraform to enhance scalability and improve deployment efficiency across a multi-cloud environment that includes AWS and GCP. This strategic transition was essential to support their rapidly expanding customer base and to integrate advanced financial technology services seamlessly in a diverse cloud ecosystem.
SOLUTION
• Migrated complex CloudFormation templates to Terraform configurations, streamlining the deployment process and enhancing multi-cloud compatibility.
• Orchestrated a phased transition from AWS CloudFormation to Terraform, minimizing disruption to ongoing services and reducing transition-related downtime by 60%.
• Converted existing CloudFormation stacks to Terraform modules, ensuring a smooth transfer of resources with a 40% improvement in resource management efficiency.
• Enhanced existing CloudFormation setups to facilitate seamless integration with Terraform, leading to a 50% increase in deployment speed for new features.
• Implemented Terraform's state management capabilities to replace CloudFormation's stack mechanisms, resulting in a 30% improvement in infrastructure tracking and version control.
SOLUTION
• Migrated complex CloudFormation templates to Terraform configurations, streamlining the deployment process and enhancing multi-cloud compatibility.
• Orchestrated a phased transition from AWS CloudFormation to Terraform, minimizing disruption to ongoing services and reducing transition-related downtime by 60%.
• Converted existing CloudFormation stacks to Terraform modules, ensuring a smooth transfer of resources with a 40% improvement in resource management efficiency.
• Enhanced existing CloudFormation setups to facilitate seamless integration with Terraform, leading to a 50% increase in deployment speed for new features.
• Implemented Terraform's state management capabilities to replace CloudFormation's stack mechanisms, resulting in a 30% improvement in infrastructure tracking and version control.
Cloud Network Engineer
1. Architected and provisioned AWS network infrastructure (VPC, compute, storage) via Terraform, standardizing IaC across production platforms and cutting manual provisioning time.
2. Provisioned and secured AWS Bedrock AgentCore runtime infrastructure using Terraform, including IAM roles, VPC endpoints, and PrivateLink connectivity, to isolate agent workloads from public internet exposure.
3. Implemented AIOps-style automated monitoring and alerting across the AWS environment, supporting the investigation chatbot, correlating CloudWatch metrics and logs to speed up root cause identification for infrastructure issues.
4. Built CI/CD workflows using GitHub Actions, automating deployment rollouts and ensuring environment consistency.
5. Containerized application workflows using Docker, reducing deployment time by 40% and improving environment portability.
6. Created reusable Terraform modules to enforce infrastructure as code standards, accelerating adoption and reducing manual provisioning errors.
2. Provisioned and secured AWS Bedrock AgentCore runtime infrastructure using Terraform, including IAM roles, VPC endpoints, and PrivateLink connectivity, to isolate agent workloads from public internet exposure.
3. Implemented AIOps-style automated monitoring and alerting across the AWS environment, supporting the investigation chatbot, correlating CloudWatch metrics and logs to speed up root cause identification for infrastructure issues.
4. Built CI/CD workflows using GitHub Actions, automating deployment rollouts and ensuring environment consistency.
5. Containerized application workflows using Docker, reducing deployment time by 40% and improving environment portability.
6. Created reusable Terraform modules to enforce infrastructure as code standards, accelerating adoption and reducing manual provisioning errors.
Education
2003 - 2007
Bachelor's Degree in Electrical and Electronics Engineering
Jawaharlal Nehru Technological University - Hyderabad, India
Certifications
NOVEMBER 2022 - NOVEMBER 2023
(ISC)² Candidate
(ISC)²
NOVEMBER 2022 - NOVEMBER 2025
AWS Certified Solutions Architect Professional
Amazon Web Services Training and Certification
JULY 2022 - JULY 2024
HashiCorp Certified: Terraform Associate (002)
HashiCorp
JULY 2022 - NOVEMBER 2025
AWS Certified Solutions Architect – Associate
Amazon Web Services Training and Certification
NOVEMBER 2010 - PRESENT
ITIL v3 Foundation
Examination Institute for Information Science
APRIL 2010 - PRESENT
PMP Certification
CCP Assessment
SEPTEMBER 2009 - PRESENT
INS-21 Property and Liability Insurance Principles
American Institute for Chartered Property Casualty Underwriters
MARCH 2009 - PRESENT
Teradata Certified Professional V2R5
Teradata Corporation
JULY 2008 - PRESENT
IBM Certified Database Associate – DB2
IBM
Skills
Libraries/APIs
AWS Amplify, Node.js, Amazon API, React, TensorFlow Deep Learning Library (TFLearn), TensorFlow, OpenAPI, ServiceNow REST API, Azure API Management
Tools
Git, Jenkins, Ansible, Amazon EKS, Bitbucket, Terraform, SonarQube, Grafana, Amazon CloudWatch, AWS Deployment, GitLab, ELK (Elastic Stack), AWS CloudFormation, Confluence, GitHub, Jira, Artifactory, GitLab CI/CD, CloudOps, AWS Command Line Interface (CLI), AWS IAM, AWS Glue, Amazon Virtual Private Cloud (VPC), CircleCI, Amazon CloudFront CDN, Microsoft Exchange, Microsoft Exchange Online, Azure DevOps Services, Helm, Kibana, Kaniko, Nagios, AWS AppSync, Amazon Cognito, Microsoft Power BI, VPN, Talend ETL, Cluster, Azure Kubernetes Service (AKS), Logstash, Splunk, Docker Swarm, Amazon Simple Queue Service (SQS), AWS Fargate, AWS CodeBuild, Amazon Elastic Container Service (ECS), Amazon WorkSpaces, Open Neural Network Exchange (ONNX), Google Workspace, NGINX, Amazon Simple Email Service (SES), Amazon ElastiCache, Celery, Apache Solr, Apache, Azure Key Vault, Azure App Service, Azure Application Insights, Azure Machine Learning, Docker Compose, TeamCity, Puppet, Ansible Tower, Shell, Subversion (SVN), Apache Maven, Hudson, VMware, BMC Atrium Orchestrator, IBM Tivoli, CVS, Cucumber, Azure ML Studio, AutoML, Amazon SageMaker, Helmfile, Atlassian, Crucible, Dynatrace, Observability Tools, Loki
Languages
Python, SQL, JavaScript, Java, Bash, GraphQL, TypeScript, YAML, PHP, C++, Snowflake, Active Server Pages (ASP), C#, Rust, Go, Ruby, Bash Script, Python 3
Frameworks
Flutter, .NET Core, Django, Windows PowerShell, .NET, Ruby on Rails (RoR), ASP.NET, Selenium
Paradigms
Continuous Integration (CI), Continuous Delivery (CD), DevOps, DevSecOps, Automation, ITIL, Azure DevOps, Microservices, HIPAA Compliance, Role-based Access Control (RBAC), Serverless Architecture, Microservices Architecture, API/Services Architecture, Event-driven Architecture, Best Practices, Agile, Testing, Test Automation, Business Intelligence (BI)
Platforms
Amazon Web Services (AWS), Kubernetes, Docker, Azure, Linux, Google Cloud Platform (GCP), AWS Lambda, Amazon EC2, Rancher, Azure IaaS, QualysGuard, New Relic, Unix, Databricks, AWS IoT, CentOS, Azure Functions, AWS Elastic Beanstalk, WordPress, Amazon Lightsail, OpenShift, Nexus, Apache Kafka, Craft CMS, Kubeflow, Google AppSheet, Vercel
Storage
Elasticsearch, Datadog, Database Migration, IIS SQL Server, PostgreSQL, Redshift, Amazon S3 (AWS S3), Amazon DynamoDB, Data Pipelines, Redis, Amazon Aurora, SQL Performance, ArangoDB, MongoDB, Microsoft SQL Server, Azure Active Directory, Azure SQL Databases, Configuration Management Databases (CMDB), InfluxDB, MySQL, On-premise, Teradata, Data Synchronization, TSM, Microsoft Entra ID
Industry Expertise
Cybersecurity, Healthcare
Other
Cloud, Argo CD, AWS Cloud Architecture, Monitoring, Cloud Security, Cost Control, High Availability Disaster Recovery (HADR), Performance Optimization, Scalability, Reliability, Cloud Migration, Infrastructure as Code (IaC), IT Security, Jira Administrator, ServiceNow, Release Management, Deployment, CI/CD Pipelines, Shell Scripting, Disaster Recovery Plans (DRP), Security, Amazon RDS, Data Migration, Cloud Computing, Cloud Architecture, Containers, Personally Identifiable Information (PII), SSL, Load Balancers, Cloudflare, DNS, Site Reliability Engineering (SRE), Leadership, AWS DevOps, AWS Certified Solution Architect, Architecture, Delivery Management, System Administration, Documentation, Audits, Cloud Infrastructure, HITRUST Certification, SecOps, IPFS, HAProxy, Web Security, Configuration Management, Networks, Application Security, Data Build Tool (dbt), DevOps Engineer, Solution Architecture, Serverless, OAuth, Firewalls, Access Control, Cloud Foundry, Technical Leadership, Elastic Load Balancers, Container Orchestration, Web Applications, Argo Workflow, IIS, Azure Virtual Networks, Authentication, Authorization, APIs, Vulnerability Assessment, AWS NAT Gateway, IT Support, Agile DevOps, Enterprise Architecture, Containerization, Cloud Services, TCP/IP, Networking, Git Flow, Code Versioning, SOC 2, AWS Certified Developer, API Gateways, Security Policies & Procedures, Direct Connect (DC), IOPS, Database Optimization, Identity & Access Management (IAM), Software Development Lifecycle (SDLC), SaaS, Software Architecture, GitHub Actions, Amazon MSK, SysOps, Server Administration, Linux Server Administration, VPS/VDS, ECS, Linux Kernel, Data Visualization, Technical Documentation, Dashboard Development, Web Servers, Network Administration, Web Application Firewall (WAF), Web Scalability, Microsoft 365, Amazon Route 53, Internet Information Services (IIS), Machine Learning Operations (MLOps), Team Leadership, Virtual Machines, Software Engineering, Machine Learning, Data Science, Data Analysis, API Integration, Infrastructure, Content Delivery Networks (CDN), Data Orchestration, MLflow, ML Pipelines, Static Application Security Testing (SAST), Solution Design, Strategy, IT Project Management, Smoke Testing, Cost Reduction & Optimization (Cost-down), Computer Networking, Yocto, GitOps, Dynamic Application Security Testing (DAST), Prometheus, IT Service Management (ITSM), P&C Insurance, T24 Bank Software, CruiseControl, Pipelines, Configuration as Code (CaC), ITIL V3 Foundation Certified, Business Analysis, Use Case Analysis, IRC, Snyk, ITSM, Cisco, Data Protection, Container Management, Data Analytics, Telemetry, OpenTelemetry, Kubernetes Event-driven Autoscaler (KEDA), Karpenter, Single Sign-on (SSO), Multiple Factor Analysis (MFA), PCI, Pulumi, pulumi, ETL Pipelines, Cloud Networking, Terraform Cloud, Palo Alto Networks, NAT, DHCP, Amazon Bedrock AgentCore, Grafana 2
Collaboration That Works
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
1
Share your needs
Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2
Choose your talent
Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3
Start your risk-free talent trial
Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.
Top talent is in high demand.
Start hiring