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Speaker

Michelle Leon

Activities

talks

Staff Product Manager Databricks

Michelle is a product manager at Databricks, working on all things open lakehouse (Unity Catalog, Delta Lake, Iceberg). She previously led teams at Webflow and Airbnb, and is based out of San Francisco.

Bio from: Data + AI Summit 2025

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Data + AI Summit 2025 4

Talks & appearances

4 activities · Newest first

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Thursday Keynote

2025-06-12 · Data + AI Summit 2025

keynote

with Bilal Aslam (Databricks) , Michael Armbrust (Databricks) , Arsalan Tavakoli-Shiraji (Databricks) , Miranda Luna (Databricks) , Michael Flynn (Rivian) , Ken Wong (Databricks) , Ali Ghodsi (Databricks) , Keegan Dubbs (Databricks) , Matei Zaharia (Databricks) , Michelle Leon (Databricks) , Michael Piatek (Databricks)

Discover the latest advances on the Data Intelligence Platform and hear from the companies who are already enjoying success.

Extending the Lakehouse: Power Interoperable Compute With Unity Catalog Open APIs

2025-06-11 · Data + AI Summit 2025 Watch

talk

with Tathagata Das (Databricks) , Michelle Leon (Databricks)

Flink API Data Lakehouse DuckDB Iceberg Cyber Security

The lakehouse is built for storage flexibility, but what about compute? In this session, we’ll explore how Unity Catalog enables you to connect and govern multiple compute engines across your data ecosystem. With open APIs and support for the Iceberg REST Catalog, UC lets you extend access to engines like Trino, DuckDB, and Flink while maintaining centralized security, lineage, and interoperability. We will show how you can get started today working with engines like Apache Spark and Starburst to read and write to UC managed tables with some exciting demos. Learn how to bring flexibility to your compute layer—without compromising control.

Multi-Format, Multi-Table, Multi-Statement Transactions on Unity Catalog

2025-06-11 · Data + AI Summit 2025 Watch

talk

with Prakhar Jain (Databricks) , Michelle Leon (Databricks)

Data Lakehouse Databricks Delta Iceberg

Get a first look at multi-statement transactions in Databricks. In this session, we will dive into their capabilities, exploring how multi-statement transactions enable atomic updates across multiple tables in your data pipelines, ensuring data consistency and integrity for complex operations. We will also share how we are enabling unified transactions across Delta Lake and Iceberg with Unity Catalog — powering our vision for an open and interoperable lakehouse.

The Missing Link Between the Lakehouse and Data Intelligence

2025-06-11 · Data + AI Summit 2025 Watch

talk

with Jason Reid (Tabular) , Michelle Leon (Databricks)

AI/ML Data Lakehouse

What connects your lakehouse to real data intelligence? The answer: the catalog. But not just any catalog. In this session, we break down why Unity Catalog is purpose-built for the lakehouse, and how it goes beyond operational or business catalogs to deliver cross-platform interoperability and a shared understanding of your data. You’ll walk away with a clear view of how the right data foundation unlocks smarter decisions and trusted AI.