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What if you could deploy ML features and real-time data pipelines without building complex infrastructure from scratch? In this episode, host Benjamin sits down with Nikhil Simha, CTO at Zipline AI and co-author of Chron...
How Zipline AI Turns Weeks of Engineering Into Minutes of SQL Queries ft. Nikhil Simha is an episode from The Data Engineering Show by The Data Bros. What if you could deploy ML features and real-time data pipelines without building complex...
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Published Mar 10, 2026, 24:18 long, audio available.
What if you could deploy ML features and real-time data pipelines without building complex infrastructure from scratch? In this episode, host Benjamin sits down with Nikhil Simha, CTO at Zipline AI and co-author of Chronon AI, to explore how Chronon, an open-source system that generates data infrastructure from simple queries, is transforming feature engineering at companies like OpenAI and Airbnb. Learn why iteration speed matters for fraud detection, how to serve thousands of signals at a massive scale, and what the future of analytical databases looks like in an AI-first world. Whether you're scaling real-time ML systems or building customer-facing analytics, this conversation is packed with practical insights on bridging the gap between data scientists and ML engineers.
You can listen to How Zipline AI Turns Weeks of Engineering Into Minutes of SQL Queries ft. Nikhil Simha online on Radio and Podcast. Open the player on this page to stream the available audio.
How Zipline AI Turns Weeks of Engineering Into Minutes of SQL Queries ft. Nikhil Simha is an episode from The Data Engineering Show by The Data Bros.
This episode is 24:18 long.
This episode was published on Mar 10, 2026.
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You can listen to How Zipline AI Turns Weeks of Engineering Into Minutes of SQL Queries ft. Nikhil Simha on this page when the episode audio is available from the podcast feed.
How Zipline AI Turns Weeks of Engineering Into Minutes of SQL Queries ft. Nikhil Simha is from The Data Engineering Show by The Data Bros.
Published Mar 10, 2026 and 24:18 long