In this episode of Hyperight Data Talks, Zalando’s Principal Data Engineer Eugene Klyuchnikov joins us to unpack the messy reality of executing massive, multi-team data migrations without creating organizational chaos. Drawing from real-world experience moving 100 domain teams from BigQuery to Databricks, Eugene reveals why scaling from 1 to 7 teams is actually harder than going from 7 to 100, how to decouple technology shifts from data validation to keep stakeholder trust intact, and why AI agents like Claude are radically reshaping the engineer’s role from code writer to strategic director. He also introduces the concept of “structured freedom”, an approach to governance that balances platform standardization with team autonomy, and offers a teaser of what he will be presenting live at the upcoming NDSML Summit.
#HyperightDataTalks is a video podcast featuring interviews with some of the most innovative minds in data, analytics, AI, and more! We bring insights from enterprise practitioners, technology and service providers, start-ups, and academics
