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Lucas Corsi

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Staff Data Engineer iFood

Lucas Corsi is a seasoned Data Engineer with around 10 years of experience and a strong background in big data and distributed systems. He has been using the Databricks platform since 2017 and has contributed to open-source projects such as GeoSpark (now Apache Sedona) and Atlantis. With a Bachelor's in Computer Engineering and an early interest in programming since age 12, Lucas is driven by curiosity, self-learning, and a strong commitment to data security and governance—with a special enthusiasm for exploring and testing the latest features on the Databricks platform.

Bio from: Data + AI Summit 2025

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Unleashing Data Governance at iFood:Harnessing System Tables and Lineage for Dynamic Tag Propagation

With regulations like LGPD (Brazil's General Data Protection Law) and GDPR, managing sensitive data access is critical. This session demonstrates how to leverage Databricks Unity Catalog system tables and data lineage to dynamically propagate classification tags, empowering organizations to monitor governance and ensure compliance. The presentation covers practical steps, including system table usage, data normalization, ingestion with Lakeflow Declarative Pipelines and classification tag propagation to downstream tables. It also explores permission monitoring with alerts to proactively address governance risks. Designed for advanced audiences, this session offers actionable strategies to strengthen data governance, prevent breaches and avoid regulatory fines while building scalable frameworks for sensitive data management.