💡 Building scalable cloud infrastructure | ⚙️ Automating deployments | 🔐 DevSecOps Enthusiast
📍 India | 🎯 Open to DevOps / Cloud Engineer Roles
✔ Hands-on with AWS (EKS, EC2, S3, IAM, VPC, RDS, ECR)
✔ Containerization & orchestration using Docker & Kubernetes (EKS, Minikube)
✔ CI/CD automation with GitHub Actions & Jenkins
✔ Monitoring & observability using Prometheus, Grafana & CloudWatch
✔ DevSecOps practices using Trivy & SonarQube
✔ Strong in Linux, Shell Scripting & Server Management
✔ Experience with Nginx, Apache HTTPD & reverse proxy setups
📫 Connect with me:
LinkedIn | Email
- ☁️ AWS Cloud Infrastructure (EKS, EC2, VPC, IAM)
- ⚙️ CI/CD Automation (GitHub Actions, Jenkins)
- 🐳 Containerization (Docker, Kubernetes)
- 📊 Monitoring & Observability (Prometheus, Grafana)
- 🔐 DevSecOps (Trivy, SonarQube)
| Category | Tools |
|---|---|
| ☁️ Cloud | AWS (EC2, S3, EKS, RDS, CloudFront, IAM, VPC) |
| 🐳 Containers | Docker, Kubernetes, Minikube |
| ⚙️ Automation | Terraform, Jenkins, GitHub Actions |
| 📊 Monitoring | Prometheus, Grafana, CloudWatch |
| 🌐 Web Servers | Nginx, Apache HTTPD |
| 💾 Databases | PGSQL, MongoDB |
| 💻 OS & CLI | Linux (Ubuntu), Bash scripting |
Tech Stack: AWS, EKS, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, Ansible, Prometheus, Grafana, SonarQube, Trivy
Designed and implemented end-to-end CI/CD pipelines using Jenkins & GitHub Actions for microservices deployment Migrated applications from Docker Compose to Kubernetes (Amazon EKS), improving scalability and availability Built and optimized Docker images (multi-stage builds) for frontend, backend, and microservices Implemented Kubernetes Ingress & AWS Load Balancer for efficient traffic routing and high availability Integrated SonarQube and Trivy scans to enhance code quality and container security Automated infrastructure provisioning using Terraform and configuration management using Ansible Managed database migrations using Flyway, ensuring consistent schema deployment Set up Prometheus & Grafana monitoring for real-time observability and alerting Automated application configuration and reduced manual intervention using scripting (Bash/Python) Troubleshot CI/CD pipelines, Kubernetes deployments, and production issues in Linux environments
Reduced manual deployment effort by ~70% through CI/CD automation Improved deployment reliability and release consistency Achieved high availability and scalability using Kubernetes (EKS) Enhanced security posture with automated vulnerability and code quality scans Reduced downtime by proactively monitoring applications and infrastructure
Combines your real NSE experience + modern tools (EKS, Terraform) Sounds practical (not copied/template) Covers: CI/CD ✅ Containers ✅ Kubernetes ✅ Security ✅ Monitoring ✅ Troubleshooting ✅
- Designed and deployed a secure and scalable three-tier web app using AWS services
- Used Docker + Kubernetes (EKS) for container orchestration
- Automated builds and deployments using CI/CD pipelines
- Hosted and compared a website using Nginx and Apache HTTPD
- Configured Nginx as a reverse proxy and Apache for dynamic content
- Advanced Kubernetes (Helm, HPA)
- GitOps (ArgoCD)
- Cloud Security & DevSecOps practices
flowchart LR
A[Code Push] --> B[GitHub Actions]
B --> C[Build Docker Image]
C --> D[Quality Scan]
D --> E[Security Scan]
E --> F[Push to ECR]
F --> G[Deploy to EKS]
G --> H[Monitoring]


