George Zubrienko is a Lead Software Engineer, Data & AI Platform based in Copenhagen with 5 years of experience building data platforms and analytics products. He blends hands-on data engineering (Spark, Hadoop, Scala, Python) and cloud platform work (Airflow migrations to Kubernetes, AWS/Azure, Databricks) with product sensibilities honed as cofounder of DipData for SME analytics. At LiveIntent he architected a Scala/Play + Akka Streams MapReduce Scheduler that turned the create-cluster–ssh–submit workflow into a simple POST-based cluster-as-a-service, and later led enterprise Airflow upgrades and privacy-driven product changes. He has deep BI and migration experience—driving Azure transformations, CI/CD adoption and DWH rebuilds that stabilized post-launch analytics for large organizations. Trained as a chemist at Moscow State University, he brings a pragmatic, process-improvement mindset from early supply-chain and product roles into platform engineering.
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