🎉 The Pune Databricks community is gearing up for its next chapter - this time at EPAM, Baner!

From visual pipeline authoring to OLTP in the Lakehouse, from agentic RAG systems to production MLOps - the Databricks Pune User Group is teaming up with EPAM to bring you a packed morning of technical sessions, real-world architectures, and the kind of community energy you only get in a room full of Pune's data minds. Whether you're deep in Spark internals or just getting started with GenAI, this one's for you.

🗓️ Date & Time: Saturday, 6 June 2026 | 09:00 AM – 03:00 PM IST

📌 Venue: EPAM Systems, 11th Floor, Malpani Agile, Pan Card Club Road, Baner, Pune, Maharashtra 411069

👉 Registration is now OPEN! Reserve your spot — RSVP soon!

🔗 Registration Link: https://docs.google.com/forms/d/e/1FAIpQLScDHPL6-Sh9zSordaCFWtI1UjteMVj-v8d6hOpJZI6U6l_LOg/viewform?usp=header

✨ Agenda Highlights:

We'll kick things off at 09:30 AM with Registration & Networking - grab a coffee, get your badge, and start the morning by connecting with Pune's top data minds.

10:00 AM – 10:10 AM | Welcome Note & Pune Community Introduction - A quick hello from the organizers and a look at what's ahead for the Pune chapter.

10:10 AM – 10:50 AM | Session 1 (EPAM): Building Data Pipelines Visually with Databricks Lakeflow Designer - Join Manish Pansari and Pranita Kulkarni for a hands-on look at how Lakeflow Designer is reshaping pipeline authoring, bringing drag-and-drop ergonomics to production-grade infrastructure.

10:50 AM – 11:00 AM | EPAM Introduction

11:00 AM – 11:40 AM | Session 2 (Databricks): Building Scalable MLOps Pipelines with Databricks - Rutuja Pathak and Aman Jain share the patterns, pitfalls, and platform pieces behind taking ML from notebook experiments to production-grade systems.

11:40 AM – 12:00 PM | Tea & Networking Break - Refuel and swap notes with your peers.

12:00 PM – 12:40 PM | Session 3 (EPAM): Modernizing Product Support with RAG and Agentic Workflows - Gourava Nagar and Niteshchand Sharma walk through a real-world agentic support system - retrieval design, orchestration choices, and what actually held up in production.

12:40 PM – 1:20 PM | Session 4 (Databricks): Building Modern Data Applications with Databricks Lakebase - Ankita Darekar and Sanket Kelkar unpack how Lakebase brings transactional workloads into the Lakehouse picture, and the application patterns it unlocks.

1:20 PM – 1:40 PM | Quiz

1:40 PM – 2:00 PM | Closing Remarks & Wrap-up

⚠️ IMPORTANT: Please carry a valid Govt. ID (Aadhaar / PAN / DL) for entry.

Let’s make this a memorable kickoff for the Pune Databricks community - see you there! 💙

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