Building a modern data warehouse with Microsoft SQL Server, including ETL processes with Bronze Layer, Silver Layer and the Gold Layer, data modeling and as well as analytics.

Builded end-end DE project using ADF and Databricks

GitOps-driven Azure Data Factory pipeline that ingests multi-source data (GitHub + ADLS) into ADLS Bronze using dynamic, parameterized ETL workflows.

End-to-end CRM-ERP data warehouse built using Medallion Architecture for scalable, clean, and analytics-ready enterprise insights.

A hands-on data warehouse project using SQL Server, covering ETL processes, and data modeling.

A Databricks control pattern that certifies every record before downstream consumption. 7 contract checks, replay detection, schema drift handling, and quarantine with explicit reasons. 56 passing tests. Databricks Free Edition validated. Enterprise Data Trust, Chapter 1.

This repository contains an Azure Data Factory (ADF) pipeline designed to dynamically ingest data from Azure SQL Database into a Bronze Layer (Azure Data Lake Storage). The pipeline is optimized for incremental processing, backfilling, and efficient file management.

📊 Build a robust data warehouse and analytics solution to transform raw data into actionable insights using industry best practices.