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Justin Breese

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Justin Breese

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Staff Product Manager - serverless jedi Databricks

Justin is a Staff Product Manager at Databricks. He primarily focuses on their serverless products - versionless runtime, dependency management (environments), and containers. When not thinking about execution engines, you can find him staying busy with soccer, hiking, brewing beer, roasting coffee, and older cars. Justin lives in Topanga, CA with his wife, son, and daughter.

Bio from: Data + AI Summit 2025

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Best Practices for Running Efficient Apache Spark™ Workloads on Databricks

Every day thousands of customers choose to run business-critical Spark workloads on the Databricks Lakehouse Platform, a platform built by the creators of Apache Spark™. These customers take advantage of platform capabilities such as fully managed compute resources, dynamic autoscaling, an integrated workflow orchestration tool and of Photon, the extremely fast vectorized execution engine. All of these make the Databricks Lakehouse Platform the best place to run Spark workloads providing operational benefits as well as tremendous price/performance value.

This session which includes live demos will cover these and other platform capabilities that can help you build your next optimized Spark application.

Talk by: Justin Breese

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