Enterprise ETL & Lakehouse Modernization
Project Spotlight

Enterprise ETL & Lakehouse Modernization

Python, PySpark, Azure Databricks, Delta Lake, Unity Catalog, REST APIs, SQL

Overview

Designed and implemented a modern lakehouse pipeline for multi-source analytics while keeping the client and source systems anonymized.

Key contributions:
- Ingested CSV and REST API data using Databricks notebooks and PySpark
- Implemented Medallion architecture across Bronze, Silver, and Gold layers
- Structured data governance with Delta Lake and Unity Catalog
- Orchestrated processing and downstream reporting readiness for analytics consumers

Role

Engineer, builder, and delivery owner

Release date

July 01, 2025