Hi, I'm Animesh Dey
DevOps and Cloud Engineer | Automating the full software development lifecycle.
View My ProjectsAbout Me
Professional Summary
Results-oriented DevOps Engineer with hands-on experience automating the full software development lifecycle. Skilled in designing scalable CI/CD pipelines, cloud-native infrastructure, and zero-downtime deployment strategies on Kubernetes. Adept at using Terraform, AWS, and Prometheus to build reliable, observable, and high-performance systems. Passionate about cloud automation, system reliability, and improving developer productivity.
Technical Skills
Cloud & IaC
AWS: EKS, EC2, VPC, S3, IAM, CodePipeline, CodeBuild, CodeDeploy, CloudFormation, ECR, Load Balancers.
IaC: Terraform, CloudFormation.
Containerization & CI/CD
Orchestration: Docker, Kubernetes.
Pipelines: GitHub Actions, Jenkins, AWS CodePipeline, CodeBuild, CodeDeploy.
Code & Monitoring
Languages: Node.js, Python (Flask), Java, React, Shell Scripting.
Observability: Prometheus.
Tools & Databases
Tools: Git, Nginx, Nexus, Kustomize.
Databases/Caches: Redis, PostgreSQL.
DevOps Projects
Advanced CI/CD with EKS & Blue-Green
Architected and deployed a full-stack React + Node.js app to a multi-node EKS cluster. Implemented zero-downtime **Blue-Green deployments** with **Prometheus** for metrics-based canary validation.
EKS/AWS
Terraform
GitHub Actions
Prometheus
View GitHub
AWS GitOps Pipeline with Kustomize
Developed a GitOps workflow for Node.js apps on separate Dev/Prod EKS clusters using **Terraform workspaces** and **Kustomize** overlays for manifest differentiation.
GitOps
Kustomize
CodePipeline
View GitHub
E2E AWS CI/CD for EC2 & Maven
Automated Java Maven build and deploy pipeline using **CloudFormation**, CodeBuild, and CodeDeploy, integrating **CodeArtifact** as a private Maven repository.
Java/Maven
CloudFormation
CodeArtifact
View GitHub
Asynchronous Microservices with Redis Queue
Designed a real-time polling application using a 5-service microservice architecture, leveraging **Redis** as a message queue for decoupling services. Orchestrated using **Docker Compose**.
Docker Compose
Redis Queue
Flask/Python
View GitHub
Publications
AI for Detecting Early Signs of Diabetic Retinopathy from Retina Scans
The 16th International Conference on Computing, Communication and Networking Technologies (ICCCNT), In Press (2025).
Explainable Deep Learning Approach for Early Detection of Colorectal Cancer via Multiclass Histopathology Classification
2nd Asia Pacific Conference on Innovation in Technology, In Press (2025).
Get In Touch
I am currently open to new opportunities. Feel free to send a message or connect on LinkedIn/GitHub!