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.