About the course.

This course would take you from foundational to advanced skills in modern data engineering and BI. You’ll learn to design scalable lakehouse architectures, build automated ELT/ETL pipelines on Azure, and transform raw data into business-ready insights. By the end, you’ll be job-ready for roles in data engineering, BI, and cloud analytics.

What you will learn?

• Build end-to-end lakehouse architectures using Azure tools and industry best practices.

• Design, orchestrate, and optimize ETL/ELT pipelines using Azure Data Factory and Databricks/Fabric.

• Perform performance tuning, metadata management, and governance for secure and compliant data systems.

• Create compelling BI dashboards and data stories using SQL, Python, and Power BI.

Who should take this course?

• Aspiring Data Engineers, BI Developers, or Cloud Data Specialists.

• Working professionals transitioning into data engineering or analytics roles.

• Founders, product managers, or analysts needing hands-on data stack experience.

• Students or early-career tech talent aiming for high-growth roles in cloud and data.