Azure Data Engineering End-to-End Project

Build one real pipeline live — ingest, transform and serve data with a production-style Azure stack.

Most Azure tutorials show one service at a time, so you finish knowing what Data Factory is without ever having shipped anything. This session builds a single pipeline end to end, live: raw files land in a lakehouse zone, Databricks cleans and models them with PySpark, and Azure SQL serves the curated tables that reporting actually reads. You leave having watched every join between the services, not just the services.

Agenda

What we'll cover

Azure Data Factory — ingest source data on a schedule
ADLS Gen2 and the Storage Account — land raw files in a lakehouse zone
Azure Databricks — clean and model the data with PySpark
Azure SQL — serve curated tables to reporting
How the four services actually hand off to each other in production

Perfect for

Who it's for

Anyone who knows some Python or SQL and wants a real Azure project to point atAnalysts and engineers moving from single-tool tutorials to a full pipelineBeginners — hands-on and beginner friendly; no prior Azure work needed

Every attendee

What you get

Live, hands-on session on Zoom
Live Q&A with the instructor
Session notes & key resources — emailed after
Optional: that session's recording + resources — add for ₹99

Your host

Abhinav Singh

Senior Data Engineer · 7+ years of experience

Free seat No spam

Reserve your free seat

One quick step: sign in with Google, then reserve your free seat — your Zoom link lands in your email instantly.

Free forever · Sunday 16 August · 1:00 PM IST

Free live seat

Sunday · 1:00 PM IST