Implementing Medallion Architecture using Databricks

This hands-on project guides you through building a complete Medallion Architecture (Bronze–Silver–Gold) pipeline in Databricks Community Edition using a real-world e-commerce scenario from GlobalMart.

You'll implement all three layers of the medallion architecture:

• Bronze Layer: Ingest raw customer, order, and transaction data exactly as received from source systems
• Silver Layer: Apply data quality checks including duplicate detection, missing value handling, email validation, and referential integrity constraints
• Gold Layer: Create aggregated business metrics like customer order counts and total spending for analytics-ready insights

What makes this different:

• Complete end-to-end implementation from raw ingestion to business metrics
• Practical data quality validation techniques including constraint enforcement
• Real-world e-commerce datasets with actual data quality issues to resolve
• Step-by-step guidance with code examples and validation checkpoints

By the end of this project, you'll have a working medallion architecture pipeline demonstrating standardized data processing, quality assurance, and business-ready analytics.