Dhananjay Pawar

About Dhananjay Pawar

DevOps Engineer with 3.9 years of hands-on experience transforming how software is built, tested, and delivered. I specialize in automating and optimizing development workflows to ensure faster releases, reliable deployments, and scalable infrastructure.Over the years, I’ve worked closely with development and operations teams to bridge the gap between code and production. From setting up robust CI/CD pipelines using Jenkins, GitHub Actions, and Argo CD, to managing containerized microservices on Kubernetes (EKS). I’ve consistently delivered systems that are efficient, resilient, and built for scale.Key Achievements: Reduced release cycle times by 40% by automating end-to-end CI/CD workflows. Designed and deployed scalable Kubernetes environments for microservices- based applications, improving reliability and uptime. Implemented Infrastructure as Code (IaC) using Terraform, ensuring consistent and repeatable cloud environments across dev, staging, and production. Enabled smooth, zero-downtime deployments with canary and blue-green strategies.Tools and Technologies: Jenkins | GitHub Actions | Argo CD | Git | GitHub |Maven | Gradle | Docker | Kubernetes | Helm | Ingress Controller | AWS | Terraform | Azure | Prometheus | Grafana | ELK Stack | Python | Bash | Linux

Experience

1. Application Development Analyst

   Accenture

   May 2023 — Present

   Designed and implemented end-to-end CI/CD pipelines using Jenkins, reducing manual intervention by 80% and accelerating deployment frequency for Java-based microservices by 50%. Managed and deployed containerized applications on AWS EKS, leveraging Argo CD for automated rollouts, achieving 99.9% deployment reliability across development, staging, and production environments. Provisioned and maintained scalable AWS infrastructure using Terraform, enabling full Infrastructure as Code (IaC) adoption and reducing environment setup time from days to under 1 hour. Configured real-time monitoring and alerting using Prometheus and Grafana, cutting incident detection time by 60% and ensuring 24/7 system health visibility and faster root cause analysis. Created reusable Helm charts for Kubernetes deployments, standardizing microservices rollout across environments and reducing configuration drift by 90%, while improving deployment consistency and speed.

Education

• Sinhgad Academy of Engineering

  Bachelor of Engineering - BE

  2016 — 2020