This Marlabs whitepaper describes how a leading North American broadcasting and audio entertainment company, serving 100M+ listeners, modernized highly fragmented data across legacy warehouses and multi-cloud stores to deliver personalized music experiences for over 67 million active subscribers. The core issues were siloed ownership, batch latency approaching four weeks, limited real-time visibility into streaming quality and engagement, and slow post-M&A integration, contributing to an estimated $30M+ yearly revenue leakage from delayed data access. Marlabs implemented a Databricks Lakehouse on AWS, consolidating data into Delta Lake and enabling real-time ingestion via Kafka and Kinesis, with governance (access control, lineage, data dictionary), data quality monitoring (Monte Carlo), a

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