Lakehouse, Lagers & Legends [Virtual]: Real-Time Intelligence with Lakebase, Genie & Agent Bricks

​About the Session

​Monitoring systems usually stop at the alert. To get a root-cause diagnosis, engineers typically have to jump between dashboards and manual SQL queries. 

​In this session, we’re going to build a different approach: a unified real-time intelligence system on Databricks. We’ll show you how to stream e-commerce data, trigger ML alerts for volume drops, and use Agent Bricks to reason over historical logs to explain exactly what happened and what to do next.

​Why Join the Virtual Lakehouse, Lagers & Legends (LLL)?

​After hosting 25+ in-person meetups across Indian & US, we are bringing the Lakehouse, Lagers & Legends technical format online for the first time. We’re keeping the same focus: engineering-heavy content and real configurations, just accessible from anywhere.

​The Workflow:

​We’re breaking down the full stack:

• ​The Ingestion Flow: How to handle live order data within the Databricks environment.

• ​Signal vs. Noise: Using ML to detect anomalies (like volume drops) without getting buried in false positives.

• ​Natural Language Querying: Setting up Genie so non-technical stakeholders can self-serve their own data questions.

• ​Agent Logic: How to build an agent that doesn't just "chat," but looks at historical logs and triggers specific alerts based on what it finds.

• ​Interactive Q&A: We’ll save time at the end to troubleshoot specific architectural hurdles you’re facing in your own builds.

​Everything is governed and deployed on a single platform. If you have your environment open, you can follow the logic as we go.

​Featured Speaker

​Nishanth Ramasamy is a Data Scientist at v4c.ai with experience in building AI systems across finance, healthcare, and cybersecurity. He works at the intersection of machine learning and Generative AI, with a strong focus on designing practical, end‑to‑end AI solutions that solve real human and business problems, not just prototypes.

Based out of Chennai, Tamil Nadu, Nishanth brings a grounded, hands‑on perspective to AI, shaped by working across diverse industries and problem spaces. Outside of work, you’ll often find him trekking or catching up on movies, balancing his passion for technology with time to recharge and explore

​About Lakehouse, Lagers & Legends

​What started as a few meetups for data engineers has turned into a worldwide community of people who live and breathe data. Each event blends two things our crowd cares about most: sharp, practical sessions on the latest in data engineering and a relaxed setting to trade ideas over a cold drink.

​Every stop is a little different- new city, new voices, fresh conversations but the core stays the same: bring smart people together, share real-world lessons, and spark collaborations that carry on long after the night ends.

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