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Akshaykumar Swarnakumar

Development
Illinois, United States

Skills

DevOps

About

AKSHAYKUMAR SWARNAKUMAR's skills align with Programmers (Information and Communication Technology). AKSHAYKUMAR also has skills associated with Consultants and Specialists (Information and Communication Technology). AKSHAYKUMAR SWARNAKUMAR appears to be a low-to-mid level candidate, with 4 years of experience.
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Work Experience

DevOps Engineer Intern

Saama Technologies
May 2023 - December 2023
  • Engineered streamlined deployment pipelines with dynamic image tag strategies, reducing build time from 6 minutes to under 2 minutes (Jenkins, TeamCity, Continuous Integration and Continuous Deployment, AWS, Rancher, Python, Groovy, Docker, GitHub) • Enabled developers with custom image deployment tags, reducing vulnerabilities by 30% through AWS ECR scanning for swift, secure deployment (Jenkins, AWS ECR, Slack, CLI, Python, Docker, GitHub, CI/CD) • Automated Kubernetes config maps and optimized shared JAR management, boosting infrastructure efficiency by 30% (Kubernetes) • Integrated SonarQube into the development pipeline to reinforce code quality, reduce issues, and enhance maintainability, while automated checks significantly improved post-release stability (SonarQube, GitHub) • Utilized Jenkins pipelines for microservices builds, pushing images to the Docker registry, and deploying to Kubernetes (Kube, Docker) • Crafted a robust documentation framework with MkDocs, strategically deployed on GitHub Pages for optimized accessibility and project information dissemination (MkDocs, GitHub, HTML, CSS, JavaScript, Confluence)

DevOps Senior Specialist

Infineon Technologies
May 2022 - June 2022
  • Developed Python script, cutting Bitbucket sync time by 20% for more reliable data transfer in the Secured Zone from the office network (Python, Bitbucket, Jenkins, Linux, Unix, JIRA) • Integral member of the Application Development Environment Team in Germany, optimizing workflow efficiency by configuring development and production environments for 3000+ users (Python, Bitbucket, Linux, Shell Scripting, JIRA, Confluence) • Developed an interactive organization chart, containerized and deployed with Docker (HTML, CSS, JavaScript, Docker) • Engineered the automation of development environment provisioning and management using Terraform, ensuring the establishment of scalable and efficient deployment workflows (Terraform, HCL, GitLab, Bash, AWS) • Implemented Git hooks, automating Jenkins builds and slashing build time by 15%, boosting development agility (Webhooks)

DevOps Engineer

Renault Nissan Technology and Business Centre
July 2019 - April 2022
  • • Enhanced release efficiency by 25-30% through the implementation of automated build and deployment processes (GitLab, Jenkins, CI/CD, Groovy, PowerShell, Shell, Perl, Maven, JFrog Artifactory, AWS S3, SVN, CATIA V5, Smoke Testing) • Created a Jenkins file template for automated application deployment using declarative pipeline syntax (Jenkins, Shell, Pipeline Script) • Automated migration of 30,000+ documents from Linux server to SharePoint and facilitated secure data transfer from local drives and artifactory to AWS S3 bucket, boosting performance and efficiency by 40-45% (AWS CLI, Shell Script, GitLab, AWS S3, Linux) • Engineered CATIA application launch tool, reducing dependencies, enhancing accessibility, and cutting launch time by 20%, increasing user adoption by 15% (CATIA V5, PowerShell, Python, Git, Shell) • Used Ansible and Ansible Tower for automated configuration management, swiftly deploying critical applications, and proactively managing changes in a dynamic environment (Ansible playbooks, YAML) • Established application metric monitoring stack using Grafana for real-time performance insights (Grafana) • Implemented an automated system using Golang for sending birthday emails to the team (Golang, JSON, Outlook, SMTP)

Education

Illinois Institute of Technology

Master of Electrical and Computer Engineering

SRM Institute of Science and Technology

Bachelor of Technology in Electrical and Computer Engineering