A leading global biotechnology company (100,000+ employees) partnered with Marlabs to build a lakehouse initiative for clinical data to accelerate drug development, reduce risk in the clinical pipeline, and strengthen leadership in personalized medicine. The program addressed fragmented data operations and limited analytics by implementing a comprehensive data strategy and developing a secure, GxP-validated platform with advanced integration tooling, then adding robust data architecture and governance with role-based access control and regulatory compliance, and migrating and optimizing ETL to enable self-service ingestion, domain-driven data products, and federated governance using technologies such as Databricks, AWS, Collibra, Fivetran, and Spotfire. Reported results included 20% faster

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