End-to-End Azure Data Engineering Project | ADF, Databricks, ADLS, Synapse & Power BI

Welcome to this End-to-End Azure Data Engineering Project 🚀

In this tutorial, I walk you through a complete real-world data engineering pipeline using Azure cloud services, designed for beginners to intermediate learners who want hands-on industry experience.

🔹 What you’ll learn in this video:

Azure Data Engineering Architecture (Bronze, Silver & Gold layers)

Ingesting data using Azure Data Factory (ADF)

Data transformation using Azure Databricks (PySpark)

Storing data in Azure Data Lake Gen2 (Parquet)

Creating analytical layers using Azure Synapse Analytics (Serverless SQL)

Using OPENROWSET, external tables & views

Preparing data for reporting and Power BI consumption

Best practices used in real production projects

This project follows industry-standard data engineering workflows, making it perfect for:

Data Engineering beginners

Azure Data Engineer aspirants

Students & fresh graduates

Professionals preparing for interviews

📌 Tools & Technologies Used:
Azure Data Factory | Azure Databricks | ADLS Gen2 | Azure Synapse Analytics | PySpark | SQL | Power BI

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Видео End-to-End Azure Data Engineering Project | ADF, Databricks, ADLS, Synapse & Power BI канала Atif Jahangir