⚡ Build with Data
A curated collection of real-world Data Engineering projects demonstrating modern data platforms, scalable ETL/ELT pipelines, Lakehouse Architecture, Delta Lake, and analytics engineering.
Building modern data platforms through practical, production-inspired projects.
⚡Build with Data is a collection of practical Data Engineering projects demonstrating modern data platforms, ETL/ELT pipelines, Lakehouse Architecture, and analytics engineering using Azure, Databricks, Microsoft Fabric, PySpark, and SQL.
Azure • Databricks • Microsoft Fabric • Apache Spark • PySpark • SQL • Delta Lake • Unity Catalog • Lakehouse • ETL • ELT • Data Engineering • Data Warehousing • Analytics Engineering
| Project | Platform | Description | Repository |
|---|---|---|---|
| 🤖 AI-Assisted Data Platform | Databricks | Enterprise-grade Medallion Architecture using Databricks, Delta Lake, Unity Catalog, PySpark, and AI-assisted development. | View Repository |
| ♻️ Waste Analytics Lakehouse Platform | Microsoft Fabric | End-to-end Microsoft Fabric Lakehouse implementing Bronze, Silver, and Gold architecture using OneLake, Data Factory, Lakehouse, and Warehouse. | View Repository |
| 📊 Databricks Enterprise Analytics Platform | Databricks | Enterprise analytics platform demonstrating scalable ETL pipelines, Delta Lake, Medallion Architecture, and production-ready data engineering practices. | View Repository |
| 🎵 Music Store Analysis SQL | SQL | SQL analytics project demonstrating joins, CTEs, window functions, aggregations, and business reporting techniques. | View Repository |
| ✅ Enterprise ETL & ELT Pipelines | ✅ Data Warehousing |
| ✅ Databricks Lakehouse | ✅ Medallion Architecture |
| ✅ Microsoft Fabric | ✅ Incremental Loading |
| ✅ Azure Data Engineering | ✅ Data Validation |
| ✅ Delta Lake | ✅ Performance Optimization |
| ✅ Apache Spark | ✅ Production Data Engineering Practices |
| ✅ PySpark Transformations | ✅ Analytics Engineering |
| ✅ SQL Analytics | ✅ Data Governance |
Contributions, suggestions, and improvements are always welcome.
If you find these projects helpful:
- ⭐ Star the repositories
- 🍴 Fork a project
- 🐛 Report issues
- 💡 Suggest improvements
Each project repository contains its own license information.