From ETL to Agentic Workflows: The Evolution of Data Engineering in the Generative AI Era

FORMAT: WorkshopLEVEL: All levels LANGUAGE: Spanish

Traditional ETL pipelines are deterministic and rigid. Agentic workflows powered by generative AI can adapt, reason, and handle the unexpected. In this workshop, you'll learn how to evolve your data engineering practices from classic ETL to intelligent agentic workflows. We'll cover designing agents for data extraction, transformation decisions, and loading strategies—as well as how to combine traditional orchestration tools with AI agents for hybrid architectures.

Speaker

José Arturo Osorio Londoño

Data Engineer @ Lovelytics

José Arturo is a Data Engineer at Lovelytics specializing in the modernization of data pipelines and workflows. He explores how generative AI is transforming traditional data engineering practices into adaptive, intelligent systems—and helps teams navigate the evolution from rigid ETL to dynamic agentic architectures.

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