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Nihal Bawankar

Nihal Bawankar

AWS DevOps Engineer

Talent
PuneMember since May 8, 2026
PythonBashDockerHelmKustomizeHPAJenkinsGitHub ActionsGitLab CI/CDTerraformAnsibleIRSAIAMVPCSecurity GroupsGrafanaCloudWatchLoad BalancingGitGitHub
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PythonBashDockerHelmKustomize

About

AWS DevOps Engineer at Capgemini with hands-on experience designing and deploying cloud infrastructure on AWS (EC2, S3, VPC, ECS, EKS, RDS) and automating end-to-end CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, and ArgoCD GitOps. Demonstrated impact in production environments — reducing manual effort by 70% and deployment time by 40% through Terraform, Ansible, and containerized Kubernetes workloads. Beyond core DevOps, brings practical AI/MLOps experience having architected and deployed a 10-service MCP-based AI microservices platform on EKS, integrating an OpenAI GPT-4o tool-calling agent, IRSA/OIDC security, and platform-wide observability with Prometheus and Grafana.

Experience

AWS DevOps Engineer at Capgemini (2025-09 – Present)

  • Designed and deployed AWS infrastructure (EC2, S3, VPC, ECS, RDS), improving system reliability and uptime.
  • Automated infrastructure using Terraform and Ansible, reducing manual effort by 70%.
  • Built CI/CD pipelines using Jenkins, GitHub Actions, and GitLab CI/CD, reducing deployment time by 40%.
  • Implemented GitOps workflows using ArgoCD, improving deployment consistency and rollback efficiency.
  • Containerized applications using Docker and deployed on Kubernetes (EKS) using Helm.
  • Implemented monitoring using CloudWatch, Prometheus, and Grafana, reducing incident response time.
  • Automated tasks using Python and Bash to improve system efficiency.
  • Configured Nginx reverse proxy and load balancing, improving response time by 30%.
  • Applied AWS security best practices (IAM, VPC, security groups)

BIW Fixture Design Engineer at NS Cube Engineering Pvt Ltd (2023-01 – 2025-09)

  • Designed 15+ automotive BIW fixtures using CATIA V5, ensuring production accuracy.
  • Reduced design iteration time by 20% through cross-functional collaboration.
  • Improved system efficiency by resolving design issues using analytical troubleshooting.
  • Created documentation improving handover efficiency by 25%

Education

Bachelor of Engineering in Mechanical Engineering – RTMNU, Nagpur (2022)

Skills

AWS DevOps Engineer

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