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.
