What you'll learn:
- Master Azure Data Engineering tools end-to-end with real-time projects
- Design and implement robust ETL/ELT pipelines using Azure Data Factory
- Write advanced PySpark code for scalable data cleaning and transformations
- Work with Azure Databricks notebooks and Delta Lake
- Build complete Medallion Architecture pipelines (Bronze, Silver, Gold layers)
- Explore Microsoft Fabric: Dataflows Gen2, Pipelines, Lakehouse & Notebooks
- Build interactive dashboards using Power BI connected to Fabric/Synapse
- Use Azure Synapse Analytics for data warehousing and complex SQL queries
- eploy and manage your pipelines using Git Integration & DevOps
Become a Job-Ready Azure Data Engineer
Master real-world data engineering with this hands-on, beginner-to-advanced course designed for aspiring and working professionals.
What You Will Learn:
Azure Data Factory (ADF):
Design & orchestrate ETL/ELT pipelines
Integrate data from SQL, Blob, REST APIs & more
Build Data Flows and automate with Triggers
Azure Databricks & PySpark:
Process big data using PySpark on Azure
Implement Delta Lake & optimize Spark jobs
Real-world notebook-based projects
Azure Synapse Analytics:
Create and query data using Dedicated & Serverless SQL Pools
Use Synapse Studio for data transformation & analytics
Integrate Synapse with ADF and Databricks
SQL for Data Engineering:
Write efficient SQL queries for transformations
Use joins, window functions, and aggregations
Practice with real datasets and assignments
Python for Data Engineering:
Automate tasks and create clean, modular scripts
Use Python in ADF and Databricks notebooks
Real-World Projects + Interview Prep:
Industry-based mini projects for each topic
Azure Data Engineer interview questions and answers
Resume & career guidance included
Who Should Take This Course?
Aspiring Data Engineers & Cloud Developers
SQL Developers transitioning to cloud data platforms
Anyone preparing for Azure Data Engineer Associate
Professionals looking to gain hands-on Azure data stack skills
Tools Covered:
Azure Data Factory, Databricks, Synapse Analytics, SQL Server, Blob Storage, Delta Lake, Python, Git, Event Hubs, and more.
No prior cloud experience required! All concepts are explained from scratch.
