mamun0193 / README.md
Hi, I'm Mamun Rahaman
A Biotechnology undergraduate at UIET Chandigarh (3rd Year) with hands-on experience in full-stack development, cloud infrastructure, DevOps, data engineering, and business analytics. I build production-grade systems to understand how real software works — from architecture and data pipelines to deployment and observability.
About Me
- I learn by building real, end-to-end systems — not just completing courses
- My work spans full-stack engineering, cloud infrastructure, DevOps automation, data engineering, and business intelligence
- Hands-on with AWS (ECR, ECS, EC2, S3, CloudWatch), Docker, Kubernetes, GitHub Actions, and CI/CD pipelines
- Experienced with ETL pipelines, data warehousing, SQL analytics, Power BI, and business KPI frameworks
- I think about production from day one — clean architecture, observability, maintainability, and deployment readiness
Featured Projects
| Project | Description | Status |
|---|---|---|
| MetravaRx | Enterprise pharmaceutical commercial analytics platform — ETL pipelines, HCP segmentation, field force analytics, KPI engine, and executive dashboards | Live |
| DevOpsEase | Intelligent PaaS that automates the full deployment lifecycle from Git to production — Docker, Kubernetes, CI/CD, observability, and an AI-powered deployment copilot | In Progress |
| RetailVista | Enterprise retail business intelligence platform — Python ETL, PostgreSQL data warehouse, SQL analytics, Power BI dashboards, and executive decision intelligence | In Progress |
| EcoPulse | Website carbon footprint analyzer — estimates environmental impact through resource profiling, energy calculation, and actionable optimization recommendations | Live |
See Projects for full case studies and architecture breakdowns.
Tech Stack
Languages
JavaScriptTypeScriptPythonSQLHTML5CSS3C
Frontend
React.jsNext.jsViteTailwind CSS
Backend
Node.jsExpress.jsFastAPIREST APIsWebSocketRedis
Databases
PostgreSQLMongoDBMySQL
Data Engineering & Analytics
PandasPySparkETL / ELTData WarehousingPower BIExcelBusiness Intelligence
Cloud
AWS (ECR, ECS, EC2, S3, CloudWatch)AWS GlueGoogle Cloud
DevOps & Infrastructure
DockerKubernetesNGINXGitHub ActionsCI / CD
Current Focus
- Building DevOpsEase — a full PaaS with automated deployment, Kubernetes orchestration, release management, and an AI copilot
- Completing RetailVista — an end-to-end retail BI platform with Python ETL, PostgreSQL data warehouse, SQL analytics, and Power BI dashboards
- Deepening expertise in data engineering — ETL/ELT pipelines, Apache Spark, AWS Glue, and data warehouse design
- Strengthening knowledge of cloud architecture, distributed systems, and system design
- Preparing for roles in full-stack engineering, cloud/DevOps, and data engineering
What I've Built and Learned
- Designed and delivered end-to-end platforms — from ETL pipelines and data warehouses to REST APIs and production dashboards
- Built backend services with Node.js, Express.js, and FastAPI — authentication, structured logging, and error handling
- Implemented Python ETL pipelines with Pandas and PostgreSQL for real analytical workloads
- Applied Star Schema data warehouse design and advanced SQL analytics for business intelligence
- Containerized and deployed applications using Docker and Kubernetes with CI/CD on GitHub Actions
- Worked with AWS (ECR, ECS, EC2, S3, CloudWatch) and understood how production environments differ from local setups
- Used NGINX as a reverse proxy and load balancer in containerized deployments
- Developed a production-first mindset — thinking about maintainability, observability, and deployment readiness from day one
Goals
- Build a career at the intersection of software engineering, cloud infrastructure, and data
- Design and ship production-grade systems that solve real business problems at scale
- Grow expertise in data engineering, cloud-native architecture, and platform engineering
- Contribute to open-source projects and developer communities
Let's Connect
- Open to collaborations, internships, and learning opportunities
- Happy to discuss software engineering, cloud, DevOps, data engineering, business intelligence, or system design
This portfolio is actively maintained — new projects and case studies are added regularly.