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Gergő Pásztor

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Resident Solution Architect Databricks

Gergő Pásztor is a Resident Solutions Architect at Databricks, bringing over a decade of experience in Data and AI. Focusing on building bespoke architecture that scales, he empowers enterprise data platforms to expand their user base, from supporting just a few users to seamlessly and securely serving thousands across the organization. With a strong foundation in data engineering, Gergő leverages his expertise across product development and consultancy, delivering solutions that drive real business value.

Bio from: Data + AI Summit 2025

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How Danone Enhanced Global Data Sharing with Delta Sharing

Learn how Danone, a global leader in the food industry, improved its data-sharing processes using Delta Sharing, an open protocol developed by Databricks. This session will explore how Danone migrated from a traditional hub-and-spoke model to a more efficient and scalable data-sharing approach that works seamlessly across regions and platforms. We’ll discuss practical concepts such as in-region and cross-region data sharing, fine-grained access control, data discovery, and the implementation of data contracts. You’ll also hear about the strategies Danone uses to deliver governed data efficiently while maintaining compliance with global regulations. Additionally, we’ll discuss a cost comparison between direct data access and replication. Finally, we’ll share insights into the challenges faced by global organizations in managing data sharing at scale and how Danone addressed these issues. Attendees will gain practical knowledge on building a reliable and secure data-sharing framework for international collaboration.