Industry level Data engineer END TO END project

Build Your First Real-World Data Project

Want to gain real-world experience as a Data Engineer? In this session, I’ll walk you through an end-to-end industry-level data engineering project using Azure Data Factory, Databricks, PySpark, Delta Lake, and Azure Data Lake.

Three session

1.Data Ingestion ,Data Transformation & Processing

2.Data Storage & Optimization|

3.Data Consumption & Reporting

We will cover:

• Project architecture design (data sources → transformations → storage → reporting)
• Building ETL pipelines in Azure Data Factory
• Writing and optimizing PySpark transformations in Databricks
• Using Delta Lake for incremental loads and versioning.