Are you ready to become a job-ready Azure Data Engineer?This course is your complete, hands-on guide to mastering Azure Data Engineering with 20+ real-time, end-to-end projects across multiple business domains — Retail, Insurance, E-commerce, HR, and more.We take you from beginner to advanced by covering every major Azure Data Engineering service, including:Azure Data Factory (ADF) – Build and automate scalable data pipelinesAzure Synapse Analytics – Create and optimize enterprise-scale data warehousesAzure Databricks with PySpark – Perform advanced big data processing & cleaningMicrosoft Fabric Lakehouse – Store, manage, and analyze data in a unified platformFabric Dataflow Gen2 – Implement ELT pipelines with reusable transformationsPower BI – Create stunning dashboards and KPIs directly from Azure dataMedallion Architecture – Organize data into Bronze, Silver, and Gold layers for scalabilityWhat makes this course different?20+ Real-World Azure Data Engineering Projects — Each project simulates real business scenarios so you can build a professional portfolioEnd-to-End Pipelines — From data ingestion to final business dashboardsMultiple Domains — Retail, Insurance, E-commerce, and HR use casesAdvanced Scenarios — Incremental loads, Slowly Changing Dimensions (SCD Type 2), real-time streaming pipelines, data deduplication, and audit-ready solutionsPractical, Hands-On Approach — Learn by doing, not just theoryCareer-Oriented Content — Prepare for Azure Data Engineering interviews and DP
What you'll learn
build and automate data pipelines using Azure Data Factory
create and optimize data warehouses with Azure Synapse Analytics
perform data processing using Azure Databricks and PySpark
implement ELT pipelines with Fabric Dataflow Gen2
create dashboards using Power BI
Course objectives
provide practical experience with real-world Azure Data Engineering projects
prepare students for Azure Data Engineering job interviews