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C

Speaker

Clara MacAvoy

1

talks

Software Engineer Databricks

Clara is a Software Engineer on Databricks' Data Platform, operating the largest Databricks workspaces in the world to power the company's Data + AI initiatives. She specializes in cost efficiency and data governance, ensuring Databricks can reliably, safely, and efficiently process and store critical business data. Clara plays a pivotal role in building and managing SWAP (Secure Workload and Regulated Data Platform) workspaces to facilitate internal Data + AI consumption. Passionate about user experience, Clara is committed to designing intuitive systems that empower users to make data-driven decisions seamlessly. Clara has a BS/MS from Stanford, where she won the Terman Engineering Award and was a 2023 Siebel Scholar.

Bio from: Data + AI Summit 2025

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Stop Guessing Spend Where It Counts: Data-Driven Decisions for High-Impact Investments on Databricks

Struggling with runaway cloud costs as your organization grows? Join us for an inside look at how Databricks’ own Data Platform team tackled escalating spend in some of the world’s largest workspaces — saving millions of dollars without sacrificing performance or user experience. We’ll share how we harnessed powerful features like System Tables, Workflows, Unity Catalog, and Photon to monitor and optimize resource usage, all while using data-driven decisions to improve efficiency and ensure we invest in the areas that truly drive business impact. You’ll hear about the real-world challenges we faced balancing governance with velocity and discover the custom tooling and best practices we developed to keep costs in check. By the end of this session, you’ll walk away with a proven roadmap for leveraging Databricks to control cloud spend at scale.