🔥 End-to-End Azure Data Engineering PROJECT | 💥 ADF + DATABRICKS + POWER BI

🔥 Build an INDUSTRY-READY Azure Data Engineering Project from Start to Finish! Learn to implement Medallion Architecture using Azure Data Factory (ADF), Azure Databricks, ADLS Gen2, Azure SQL, and Power BI. ⬇️ *DOWNLOAD PROJECT RESOURCES* [GitHub Repository] - https://github.com/manish040596/azure-data-engineer---multi-source/tree/main 👉 *FULL TUTORIAL TIMESTAMPS*: 00:00 - Project Demo & Architecture Overview 09:05 - Setting Up Azure Resources (ADLS, Azure SQL) 16:43 - Creating Azure data lake storage 21:53 - Creating Azure data factory 22:54 - Data Ingestion with ADF (Parquet/CSV → ADLS) 33:16 - Medallion Architecture in Databricks (Bronze → Silver → Gold) 36:56 - Advanced Transformations with PySpark 1:00:35 - Building Interactive Power BI Dashboards 💡 *YOU WILL LEARN HOW TO*: ✅ Implement production-grade Medallion Architecture on Azure ✅ Build automated ETL pipelines with ADF & Databricks ✅ Process raw data → insights using Delta Lake ✅ Design star schema in Azure SQL DB ✅ Create calculated measures in Power BI with DAX ✅ Apply data validation and error handling ✅ Optimize cloud costs for data pipelines 🎯 *PERFECT FOR*: * Data Engineers building Azure portfolios * Data Analysts transitioning to cloud platforms * Data Scientists needing production-ready data * Azure Certification (DP-203, DP-500) aspirants 🛠️ *TECH STACK USED*: * Azure Data Factory (ADF) * Azure Databricks (PySpark, Delta Lake) * Azure Data Lake Storage (ADLS Gen2) * Azure SQL Database * Power BI (DAX, Data Modeling) * Medallion Architecture Framework 🔔 Want more videos like this? 👉 Hit Like, 💬 Comment, 🔁 Share, and ✅ Subscribe! 📚 Playlists You’ll Love: 1️⃣ AWS Data Engineer: 🔗 https://www.youtube.com/playlist?list=PLOlK8ytA0MghpdMjb0m9zu1v9s_qbRP0q 2️⃣ Azure Data Engineer Playlist: 🔗 https://www.youtube.com/watch?v=MD2ZwGtKE5M&list=PLOlK8ytA0MggTm3pkGSfupleGB1cgcuZt 3️⃣ SQL Playlist: 🔗 https://youtube.com/playlist?list=PLOlK8ytA0Mgibvv5_q4M_iW8nm9rTcszd&si=_E4dj0Bt0fp1VOFU 6️⃣ PySpark Playlist: 🔗 https://youtube.com/playlist?list=PLOlK8ytA0MgjvOpd-088NRU_vTYw_aryH&si=VzbbxDVp08LUYfMu 5️⃣ Azure Data Factory Playlist: 🔗 https://youtube.com/playlist?list=PLOlK8ytA0MgguN5XidtQXbILxwCdJCUJE&si=NfMjbeP2AaA3ct-_ 4️⃣ Python Playlist: 🔗 https://youtube.com/playlist?list=PLOlK8ytA0Mgj8xTzgMxClAq09E5066Q7M&si=J023ppQnO9ABvecP 7️⃣ Azure Data Engineer Projects: 🔗 https://youtube.com/playlist?list=PLOlK8ytA0MgiEIhJmYEaNvaFIJQNCqA68&si=ilBuY8HWxblHiGca 8️⃣ Data Engineer Interview Prep: 🔗 https://youtube.com/playlist?list=PLOlK8ytA0Mgid1Sp61K7r-OiXZ5ovwjFM&si=esliJap1sk5rWZCP 📣 Connect with Me: 💬 Join the conversation on Telegram: 🔗 https://t.me/+Cb98j1_fnZs3OTA1 🙏 Hope you enjoyed the video and learned something valuable! 📺 See you in the next one — until then, Bye-Bye 👋 🔖 Tags: #dataengineer #azuredataengineer #awsdataengineer #pyspark #databricks #adf #azuredatafactory #cloudcomputing #etl #datascience 📌 **CHAPTER MARKERS ADDED** - Jump to any section! #AzureDataEngineering #DataEngineer #ADF #Databricks #MedallionArchitecture #PowerBI #DataAnalyst #DataScience #Azure #ETL #DataPipeline #CloudComputing #DataTutorial #DP203 ⚠️ **DISCLAIMER**: Microsoft Azure and Power BI are trademarks of Microsoft Corporation. This is not official Microsoft content.