Andre Bikai, Developer in Atlanta, GA, United States
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Andre Bikai

Verified Expert  in Engineering

DevOps Engineer and Developer

Atlanta, GA, United States

Toptal member since November 19, 2024

Expertise
DevOpsAWS DevOpsAWS IAMTerraformDockerAWSJenkinsGitDatadogAWS LambdaGrafanaRustAmazon API
Bio

Andre is a highly skilled DevOps engineer with extensive expertise in Jenkins, AWS, Docker, Kubernetes, and Terraform. He specializes in building CI/CD pipelines, managing scalable cloud infrastructure, and implementing DevSecOps practices for business growth. Passionate about optimizing workflows, enhancing system reliability, and driving innovation through cloud and DevOps solutions, Andre is dedicated to meeting clients' requirements and exceeding expectations.

Portfolio

Verizon
Amazon EKS, Amazon MSK, Amazon Web Services (AWS), Argo CD, AWS CloudFormation...
Ek-TECH SOFTWARE SOLUTIONS
Docker, Amazon EKS, Amazon EC2, VPC, GitLab CI/CD, GitHub, GitHub Actions...

Experience

  • DevOps Engineer - 8 years
  • Amazon EKS - 6 years
  • Amazon Web Services (AWS) - 6 years
  • Helm - 6 years
  • Jenkins - 6 years
  • GitLab - 3 years
  • Argo CD - 3 years
  • GitHub Actions - 2 years

Availability

Full-time

Preferred Environment

Amazon EKS, Terraform, AWS CloudFormation, Docker, Helm, Argo CD, Amazon Web Services (AWS), Jenkins, GitLab, Datadog, Rust

The most amazing...

...project I've led is a zero-downtime migration to Kubernetes on AWS, boosting scalability, reliability, and deployment with Docker, Helm, Terraform, and Jenkins.

Work Experience

DevOps Engineer

2023 - 2024
Verizon
  • Implemented CI/CD pipelines with Jenkins, managed AWS infrastructure, automated Terraform deployments, and containerized apps with Docker and Kubernetes.
  • Tracked and resolved bugs using Jira, optimizing reporting and resolution workflows to enhance software quality and accelerate delivery timelines.
  • Directed the launch of a new cloud-based platform, overseeing deployment, testing, and user onboarding. Collaborated with cross-functional teams to address pre-launch issues, ensuring an efficient and smooth rollout.
Technologies: Amazon EKS, Amazon MSK, Amazon Web Services (AWS), Argo CD, AWS CloudFormation, AWS IAM, Datadog, Docker, GitHub Actions, AWS Lambda, Grafana, Helm, Jenkins, GitLab, Terraform, YAML, New Relic, Prometheus, Amazon Virtual Private Cloud (VPC), AWS WAF, DevOps, DevOps Engineer, Linux, CI/CD Pipelines

AWS DevOps Engineer

2018 - 2023
Ek-TECH SOFTWARE SOLUTIONS
  • Accelerated deployment time by 40% through automation of CI/CD pipelines with Jenkins. Managed scalable AWS infrastructure with Terraform, optimizing costs by 25%. Integrated DevSecOps practices into the pipelines, reducing production vulnerabilities by 15%.
  • Tracked and reported bugs using AWS X-Ray and integrated findings into Jira for streamlined bug reporting and resolution, improving system reliability and reducing issue resolution time by 20%.
  • Spearheaded launch processes using Amazon Elastic Kubernetes Service (EKS), ensuring seamless deployments and efficient scaling. Managed infrastructure to optimize performance, reduce downtime, and enhance application availability by 25%.
Technologies: Docker, Amazon EKS, Amazon EC2, VPC, GitLab CI/CD, GitHub, GitHub Actions, SonarQube, Amazon Web Services (AWS), AWS CloudFormation, Terraform, AWS Elastic Beanstalk, Amazon Route 53, AWS ALB, Bitbucket, Jira, Prometheus, Helm, Apache, NGINX, Jenkins, Bash, Python

Experience

An Automated CI/CD Pipeline with Jenkins and Amazon EKS

Oversaw the design and implementation of an automated CI/CD pipeline using Jenkins, integrated with Amazon EKS to automate the build, test, and deployment process for microservices. The pipeline also improved development efficiency and reduced deployment errors.

First, I set up Jenkins pipelines to automate builds and deployments to Amazon EKS. I also integrated automated testing to ensure code quality before production deployment, reducing deployment time by 40% and increasing release frequency. Next, I utilized Helm and Kubernetes for application deployment and management on EKS and integrated monitoring and logging with Amazon CloudWatch and Prometheus to track deployment performance and detect issues early.

As a result, I reduced deployment time by 40% and increased release frequency by 30%. I also improved team collaboration and minimized manual errors in the deployment process.

Education

2014 - 2016

Master's Degree in Business Administration (MBA)

University of Phoenix - Phoenix, Arizona, USA

Skills

Tools

Amazon EKS, Helm, AWS IAM, Terraform, AWS CloudFormation, Jenkins, GitLab, Grafana, Amazon Virtual Private Cloud (VPC), GitLab CI/CD, GitHub, SonarQube, Bitbucket, Jira, Apache, NGINX, Amazon Elastic Container Registry (ECR), Amazon Simple Notification Service (SNS), Amazon Simple Queue Service (SQS), Amazon CloudFront, Amazon CloudWatch

Languages

YAML, Bash, Python, Bash Script, Rust

Platforms

AWS Lambda, Docker, Amazon Web Services (AWS), New Relic, Amazon EC2, AWS Elastic Beanstalk, AWS ALB, AWS NLB, Kubernetes, Linux

Storage

Datadog, PostgreSQL

Paradigms

DevOps

Other

AWS WAF, Amazon MSK, Argo CD, GitHub Actions, DevOps Engineer, AWS DevOps, Web Marketing, Prometheus, VPC, Amazon Route 53, Amazon Kinesis, Amazon API Gateway, CI/CD Pipelines

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