What you'll learn:
- Build real-world, end-to-end data engineering projects using Microsoft Fabric
- Work with Dataflow Gen2 to ingest and transform data from multiple sources
- Design and implement Lakehouse architecture using Bronze, Silver, and Gold layers
- Clean and transform data using PySpark and Spark SQL in Fabric Notebooks
- Automate ETL pipelines using Fabric Data Pipelines (similar to Azure Data Factory)
- Create interactive dashboards and KPIs using Power BI inside Fabric
- Implement medallion architecture to manage raw, refined, and aggregated data
- Work with Delta Lake tables for high-performance analytics in Lakehouse
- Perform data deduplication, null handling, column renaming, and schema correction
- Design scalable data models and visualize insights using Power BI Reports
- Build pipelines for Retail, HR, E-commerce, Insurance, and Delivery domains
- Understand how to schedule, trigger, and monitor end-to-end Fabric pipelines
- Prepare for data engineering interviews with hands-on Fabric experience
- Get a full-stack understanding of Microsoft Fabric’s unified analytics ecosystem
Are you ready to become a job-ready data engineer using the latest end-to-end platform from Microsoft?
Welcome to Microsoft Fabric Data Engineering: 10+ Real-Time Projects — the ultimate hands-on course that teaches you real-world data engineering skills using Microsoft Fabric and its complete suite of tools.
Microsoft Fabric is the next-generation unified data analytics platform that combines the best of Azure Data Factory, Synapse Analytics, Power BI, and Data Lake under one powerful interface. This course is designed for data engineers, analysts, and aspiring professionals who want to build real-time data pipelines from scratch.
What You Will Learn (All Key Fabric Topics Covered):
Dataflow Gen2
Ingest data from various sources
Perform powerful transformations using Power Query
Create reusable data pipelines
Fabric Lakehouse
Understand Delta Lake & Lakehouse architecture
Organize data into Bronze, Silver, and Gold layers
Store structured and unstructured data efficiently
Fabric Notebooks
Clean and transform data using PySpark and Spark SQL
Use notebooks to write scalable code for data pipelines
Perform advanced data engineering operations interactively
Microsoft Fabric Pipelines (Data Factory experience)
Build ETL workflows
Automate data movement and transformations
Integrate with Lakehouse and Warehouse
Power BI in Fabric
Create dynamic, interactive dashboards
Visualize KPIs and metrics from curated Gold data
Build story-driven insights for decision-making
Real-World Project Scenarios
10+ end-to-end projects across Retail, HR, Finance, E-commerce, Logistics, and Insurance
Use real-life messy datasets and apply complete data cleaning workflows
Apply medallion architecture (Bronze → Silver → Gold) in all projects
Key Skills You’ll Gain:
Microsoft Fabric architecture & components
Data ingestion, transformation & orchestration
Building Lakehouse pipelines
Data modeling & reporting
End-to-end project execution
Job-ready data engineering workflows
Who This Course Is For:
Beginner to intermediate Data Engineers and Analysts
Power BI or Azure professionals looking to master Fabric
Anyone who wants to learn modern data engineering using real datasets
Professionals preparing for Fabric job roles and interviews
