I build and experiment with data platforms, observability solutions, automation workflows, and reliable backend systems.

My current focus is on combining Data Engineering and Platform Engineering to build systems that are scalable, observable, automated, and reliable.

• 🔭 Platform Engineering — building reliable and automated infrastructure workflows
• 📊 Observability & Monitoring — Grafana, Prometheus, Dynatrace & telemetry
• 🐍 Python Engineering — automation, APIs, data pipelines and tooling
• 🛠️ Data Engineering — ETL/ELT pipelines, SQL, data processing & orchestration
• 🐳 Containerization — Docker & reproducible development environments
• 🤖 AI & Developer Tooling — FastAPI, MCP servers and LLM-integrated applications
• 🎨 Data Visualization — interactive dashboards, geospatial rendering and print-ready map generation
• 🔐 Security & Reliability — certificate management, platform security and risk-aware engineering

Data Engineering Zoomcamp

Hands-on work around building and containerizing a taxi data ingestion pipeline with Python, Docker, Docker Compose, Postgres and pgAdmin.

Focus: Python Docker Docker Compose Postgres ETL Data Engineering

A modular Python package for generating high-quality, minimalist map posters for cities around the world.

The project includes geocoding, OpenStreetMap street data, reusable themes, multilingual labels, bundled fonts and a command-line interface for print-ready PNG output.

Focus:
Python OpenStreetMap GeoPandas Matplotlib Geospatial Data CLI

A containerized FastAPI inference service exposing:

• REST inference endpoints
• Health checks
• Prometheus-compatible metrics
• Docker-based deployment
• Grafana + Prometheus observability

Focus:
FastAPI Python Docker Prometheus Grafana Observability

An MCP-based integration for interacting with Garmin data through AI-compatible clients.

The project explores:

• MCP server architecture with 110+ tools across activity, health, training and workout data
• API integration
• Python tooling
• Docker deployment
• Authentication and token management
• Streamable HTTP and SSE transports with health checks
• Automated integration testing and configurable tool filtering

Focus:
Python MCP Docker APIs Testing AI Tooling HTTP

A Python/Streamlit dashboard for exploring Indian NSE-listed stocks with fuzzy symbol matching, Yahoo Finance price data, Plotly charts, moving averages, RSI and NewsAPI-powered market news.

Focus:
Python Pandas Streamlit Plotly Yahoo Finance NewsAPI Data Visualization

• Advanced Data Engineering
• Distributed Systems
• Platform Engineering
• Observability & SRE practices
• Infrastructure Automation
• Cloud-native architectures
• AI/LLM infrastructure and MCP
• Geospatial data and visual storytelling

Data Engineering
      ↓
Platform Engineering
      ↓
Observability & Monitoring
      ↓
Automation & Reliability
      ↓
Secure & Scalable Systems