Build Your First ETL Pipeline with Databricks & AI | Free Webinar | Codebasics

Build Your First ETL in 60 Minutes with Databricks & AI

Hosted by: Harun Raseed Basheer & Hemanand Vadivel

Free

Sat, 22 Aug 2026
10:00 AM - 11:00 AM IST

Online (Zoom)

Hosted by

Harun Raseed Basheer

Data Engineer | Team Lead @ Hitachi

Hemanand Vadivel

Ex- Data Analytics Manager, 8+ Years in Europe, Microsoft Certified, Certified Supply Chain Professional

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Raw data almost never arrives clean. Duplicates, missing values, columns that never match: someone loses the first hour of the day fixing it by hand before anyone can trust the numbers. There is a better way. In this session you will build a pipeline that does that cleaning for you, automatically, every time.

In this free 60-minute session, you will build an end-to-end ETL pipeline from scratch, live. Starting from a raw dataset, you will build it in Databricks and finish with clean, reliable tables ready for reporting, using AI to write the transformation code faster. This is a hands-on build-along, not a lecture. No data engineering background needed: if you can follow simple steps, you can follow this.

To build along, complete the short setup below before you join, so you are ready from the first minute.

Who should attend this webinar

✔️ Data analysts ready to take their first real step into data engineering.

✔️ Anyone who has built a dashboard and wants to understand what actually feeds it.

✔️ Complete beginners who want to see a modern pipeline built end to end, no heavy background needed.

What we'll cover

🔹 Getting set up in Databricks and loading raw data into a workspace

🔹 Cleaning it in a PySpark notebook: duplicates, missing values, dates, data types

🔹 Using AI to write and improve that notebook faster

🔹 Saving the results as Delta tables you can query and trust

🔹 Scheduling the whole flow so it runs on its own, then validating the results

Before you join: complete your setup

🛠️ To build along live, you will need a free Databricks account with a workspace ready to use. Follow the short setup guide to get everything in place:

Open the setup guide (Databricks) →

Bonus Resource

📌 The session notebook and starter dataset, so you can rebuild the pipeline yourself after the session.