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Data EngineeringCase Study·91% Match

Medallion Architecture — Azure Data Engineering

Enterprise lakehouse on Azure following the Bronze/Silver/Gold medallion pattern. Bronze layer ingests raw data via Azure Data Factory pipelines into Azure Data Lake Gen 2 (Parquet format). Silver layer applies DBT transformations in Azure Databricks. Gold layer writes refined aggregates to Azure SQL Database. Azure Key Vault manages secrets throughout. Topics: azure, dbt, databricks, azuredatafactory.

AzureAzure DatabricksDBTAzure SQL DatabaseAzure Data FactoryAzure Data Lake Gen 2
Production3 LayersBronze/Silver/GoldADFIngestionDatabricksTransformsAzure SQLServing★ Featured
3 Layers
Bronze/Silver/Gold
ADF
Ingestion
Databricks
Transforms
Azure SQL
Serving
🔴 The Problem
▸

Raw data landed in a flat S3-like store with no quality guarantees or transformation history

▸

No governance layer between raw ingest and business reporting

✅ The Solution
▸

Medallion pattern: ADF pipelines load raw Parquet to ADLS Gen 2 (Bronze); DBT transforms in Databricks (Silver); curated aggregates in Azure SQL (Gold)

▸

Azure Key Vault manages secrets at every layer

📈 Impact & Results
▸

Clear data lineage from raw source to business-ready aggregate

▸

DBT tests enforce data quality contracts at the Silver layer

▸

Gold layer tables feed Power BI dashboards directly via Azure SQL connector

Full Tech Stack
AzureAzure DatabricksDBTAzure SQL DatabaseAzure Data FactoryAzure Data Lake Gen 2

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