Projects

Full-Stack CI/CD Architecture for Scalable Cloud Deployment

This project showcases a complete end-to-end DevOps framework designed for modern, scalable software delivery. It begins with source code management and automated build/test pipelines powered by CI/CD tools, ensuring fast and reliable code validation. Containerized artifacts are securely stored in repositories, while configuration management and orchestration ensure consistent deployments across cloud environments. Built on AWS and Azure, the solution supports scalable infrastructure provisioning, automated rollouts, and real-time monitoring through integrated observability tools. This architecture highlights automation, resilience, and cloud-native design, reflecting the core capabilities required of a DevOps Engineer or Solution Architect in enterprise environments.

End-to-End DevOps Pipeline with Jenkins, GitHub Actions, and Terraform on AWS

This project demonstrates a modern, production-grade DevOps architecture designed to deliver scalable, secure, and observable applications on AWS. It integrates GitHub Actions and Jenkins to automate CI/CD workflows, enabling seamless builds and tests triggered by code commits. Docker ensures consistent application packaging, while Kubernetes manages orchestration and scaling across EC2 instances. Terraform provisions infrastructure-as-code for reproducible and compliant AWS deployments, including VPC, EC2, S3, RDS, and IAM. Real-time observability is achieved through Prometheus and Grafana, providing dynamic dashboards for performance and health monitoring. This end-to-end implementation showcases cloud-native best practices, automation excellence, and the technical expertise essential for enterprise-level DevOps and Solution Architecture roles.

Scalable E-Commerce Cloud Architecture on AWS

Designed and deployed a multi-tier e-commerce platform using AWS services. Implemented CI/CD pipelines with GitHub Actions, automated provisioning with Terraform, and used CloudWatch/Grafana for real-time monitoring. The solution leveraged serverless functions (Lambda), containerized workloads (Docker/ECS), and a hybrid RDS–DynamoDB data model to ensure scalability, high availability, and cost efficiency. This project demonstrates enterprise-level cloud architecture, automation, and DevOps integration.