Raj Nandgaonkar

• Designed and maintained Linux and Windows server environments ensuring 99.9% uptime.

• Developed Infrastructure as Code using Terraform for AWS resource provisioning.

• Implemented CI/CD pipelines using Jenkins and GitHub Actions for application delivery.

• Managed EKS clusters and Docker containers for containerized microservices.

• Automated patch management and system updates using shell scripts.

• Monitored system performance using Prometheus and CloudWatch, improving detection time.

• Secured infrastructure using IAM roles, security groups, and SSH key management.

• Documented system processes and performed root cause analysis during outages.

PROJECTS

1. Kubernetes-Based Observability Deployment

Client: Internal Project at Zensar Technologies

Tech Stack: Kubernetes, Prometheus, Grafana, OpenTelemetry, Flask, Docker, Helm

• Deployed a Flask microservice app on Kubernetes and integrated observability with

OpenTelemetry.

• Enabled distributed tracing, logs, and metrics collection for real-time insights.

• Used Helm charts for automated deployment and dashboard configuration.

• Achieved 40% faster debugging and improved service availability.

2. AWS Cost Optimization and Governance Initiative

Client: US-based Financial Services Firm

Tech Stack: AWS Cost Explorer, Trusted Advisor, Terraform, AWS Organizations

• Audited AWS infrastructure to identify cost anomalies and underutilized services.

• Automated EC2 instance scheduling using Lambda and CloudWatch events.

• Used Terraform to set up account baselines and enforce tagging policies.

• Saved $60K annually through rightsizing and automation

3. CI/CD Pipeline for Microservices Deployment

Client: Internal Project at Zensar Technologies

Tech Stack: Jenkins, GitHub, Docker, Kubernetes, Ansible

• Created Jenkins pipelines for building, testing, and deploying Java-based microservices.

• Containerized applications using Docker and deployed to Kubernetes via Helm.

• Integrated Ansible for environment configuration.

• Reduced deployment failures by 35% and improved release frequency