Software Engineering student from Pakistan building a career in Data Engineering — through real projects, not just courses.
"I build data pipelines that handle failure gracefully, not just ones that work once."
- 🔭 Currently: Building ETL pipelines on Azure (ADF + ADLS Gen2)
- 🌱 Learning: Databricks · Apache Spark · Airflow · dbt
- 🎯 Goal: Production-grade data infrastructure for real engineering teams
- 🤝 Open to: Internships · Hackathons · Open-source collaboration
- 📍 Location: Pakistan
| Project | What It Does | Stack |
|---|---|---|
| ☁️ OpsPulse Azure ETL | Moves 2.9M+ rows to Azure Data Lake — incremental loading, logging, failure handling | Python · ADLS Gen2 · Azure |
| 🏭 Azure ADF Pipeline | On-Prem to Cloud migration with dynamic pipelines and Storage Event Triggers | ADF · ADLS Gen2 · Azure SQL |
| 🐳 Docker + PostgreSQL ETL | Multi-container ETL — Python + PostgreSQL running with one command | Docker · Compose · Python |
| 🏗️ SQL Data Warehouse | Production-grade DWH with Medallion Architecture and analytical queries | SQL Server · ETL · Data Modeling |
| 🚖 OpsPulse NYC Taxi | Local ETL on 2.8M rows — Bronze/Silver layers, PostgreSQL, pytest validation | Python · PostgreSQL · Pandas |
Cloud and Data Engineering
Languages and Libraries
Currently Learning
Tools
Always learning, always building.