Anthony Ahamefule
Verified Expert in Engineering
Cloud Engineer and Developer
Dallas, TX, United States
Toptal member since February 21, 2024
Anthony, a results-driven cloud engineer with 8+ years on GCP, excels in designing, implementing, and optimizing cloud solutions. As a certified professional DevOps engineer, he elevates security standards on every project he's on. A work highlight of his was when Anthony crafted a secure, user-friendly banking platform—boosting operations by 80%. Anthony consistently fosters innovation and is more than proficient with Terraform, Kubernetes, Anthos, and CI/CD.
Portfolio
Experience
- Google Cloud Platform (GCP) - 10 years
- Jenkins - 9 years
- Google Cloud Storage - 9 years
- CI/CD Pipelines - 8 years
- Google Compute Engine (GCE) - 8 years
- Google Kubernetes Engine (GKE) - 8 years
- Terraform - 8 years
- Identity & Access Management (IAM) - 8 years
Preferred Environment
Google Compute Engine (GCE), Google Kubernetes Engine (GKE), Docker, CI/CD Pipelines, GitHub, Python, Virtual Private Cloud (VPC), DevOps, DevSecOps, Infrastructure as Code (IaC)
The most amazing...
...project I've done was developing a secure, user-friendly banking platform for a financial institution, enhancing operations and financial robustness by 80%.
Work Experience
Senior Technical Cloud Engineer
Financial Institution
- Leveraged Google Cloud Storage and its storage classes to implement auto-classification and lifecycle management, reducing costs by $1 million and optimizing data storage access times in GCP.
- Led and managed a team of 15 engineers and developers, fostering collaboration and innovation and achieving project milestones on time and within budget.
- Orchestrated GCP infrastructure states' design, provisioning, and automation with Terraform, optimizing compute, security, network, database, monitoring, and disaster recovery layers—achieved a 60% improvement in deployment efficiency.
- Enhanced client environment security by prioritizing a robust strategy with GCP security tools. I achieved a proactive 60% reduction in vulnerabilities and threats.
- Spearheaded an app migration to GCP, using Migrate for Compute Engine (M4CE) for app servers and document management systems for databases. This achieved a 40% performance boost and a 45% infrastructure cost reduction.
- Designed and implemented resilient compute infrastructures on GCP by leveraging Google App Engine, resulting in an increased availability and cost savings of approximately $800,000.
- Led an Anthos-driven transformation initiative for seamless management and deployment in diverse environments, improving operational flexibility and consistency and enabling effortless scaling with a 60% reduction in downtime.
GCP Cloud Engineer – DevSecOps
Rideshare Company
- Established end-to-end CI/CD pipelines using various tools, including GitHub, Jenkins, Apache Maven, SonarQube, Nexus, Docker, and Anthos, resulting in a 50% reduction in release cycles and a 45% decrease in deployment errors.
- Integrated automated security testing, vulnerability scanning, and threat detection into the CI/CD pipeline, enhancing security throughout the software development lifecycle and improving threat detection and mitigation by 60%.
- Created an innovative pricing strategy in Google Compute Engine (GCE), enabling the client to reduce resource costs by $1.5 million.
- Led disaster recovery planning and executed backup and data replication solutions, resulting in a 40% enhancement in data integrity and reduced downtime during system failures.
- Implemented GCP's Cloud Monitoring, Logging, and Armor alongside robust security measures to ensure compliance and reduce vulnerabilities.
- Leveraged Kubernetes for container orchestration, incorporating database management principles to facilitate smooth scaling and ensure high availability.
- Spearheaded recruitment efforts, hiring top-tier talent, and provided mentorship and training to junior team members, contributing to their professional growth and skill development.
Experience
Secure and Scalable Payment Gateway Implementation on GCP
I deployed a payment gateway on GCE for scalable infrastructure and utilized cloud load balancing for high availability. Cloud IAM provided robust access control, and GCS securely stored transaction data. Additional security measures included using Cloud KMS for sensitive payment information and Cloud Monitoring and Logging for performance tracking. Pub/Sub facilitated asynchronous communication, and Google Cloud SQL ensured secure storage of structured payment data.
For DevOps and continuous integration, I established a streamlined pipeline using GitHub, Jenkins, SonarQube, Nexus, Docker, and Kubernetes. Cloud IAP secured payment gateway endpoints and API gateways managed, secured, and monitored associated APIs.
The project yielded a 45% boost in navigation efficiency and a remarkable 60% rise in consumer satisfaction, reducing dissatisfaction risks.
Preserving Data Integrity and Consistency Post Migration
During the migration, I used tools for a secure data transfer to GCP. Post migration, I leveraged GCP's native tools, including Dataflow and Data Catalog, for validation.
STRATEGIES
• Calculated checksums for data on-premises and in GCP. Compared checksums post-migration to identify variations, indicating potential data corruption.
• Conducted data sampling and spot checks on migrated data and compared samples against the source to validate accuracy and consistency.
• Developed custom validation scripts for automated validation and ran scripts to compare datasets in on-premises and GCP environments, identifying discrepancies.
DISCREPANCY HANDLING
• Conducted root cause analyses.
• Implemented immediate remediation for critical issues.
• Wrote up comprehensive documentation for stakeholders.
This approach to data validation facilitated a smooth transition to the cloud environment. By swiftly addressing discrepancies, I contributed to a reliable post-migration landscape.
Certifications
CKA: Certified Kubernetes Administrator
The Linux Foundation
Professional Cloud DevOps Engineer Certification
Google Cloud
Professional Cloud Architect Certification
Google Cloud
Skills
Tools
Google Compute Engine (GCE), Google Kubernetes Engine (GKE), VPN, Terraform, GitHub, Jenkins, Apache Maven, SonarQube, Ansible, Grafana, Cloud Dataflow, Cloud Scheduler, Helm, Logging
Paradigms
DevSecOps, DevOps, HIPAA Compliance
Platforms
Google App Engine, Docker, Kubernetes, Google Cloud Platform (GCP), Linux, Nexus
Storage
Google Cloud Storage, Databases, Google Cloud SQL, Database Migration, Google Bigtable, Google Cloud Spanner, Transfer Appliance, Ingres
Languages
Java, Datalog, TypeScript, Python, Bash
Frameworks
NestJS, Windows PowerShell, Next.js
Other
Identity & Access Management (IAM), Networking, Google Operation Suites, Migrate for Compute Engine (M4CE), Virtual Private Cloud (VPC), Cloud Operation Suite, Cloud Monitoring, Cloud Logging, Google Pub/Sub, Cloud, Infrastructure as Code (IaC), Security, Monitoring, SecOps, Network Engineering, DMS, Google Cloud Functions, Prometheus, Google BigQuery, Cloud Migration, Load Balancers, Anthos, CI/CD Pipelines, Pub/Sub, Encryption, IT Security, Network Security, IPsec, System Administration, GitHub Actions, APIs, Document Management Systems (DMS), API Object, Custom Resource Definitions, Orchestration, Security Policies & Procedures, Service, Site Reliability Engineering (SRE), Volumns, Troubleshooting
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