
Enterprise data architecture for an iGaming group
Target architecture and engineering standards for an NDA iGaming data platform spanning DWH, clickstream, experimentation, recommendation, BI, and secure AI.
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Product, data, engineering, and security teams needed shared decisions for batch and streaming ingestion, historical migration, governance, and production readiness.
Authored and reviewed 15 ADRs and designed the analytical platform around Kafka, ClickHouse, Iceberg, and Airflow, with data contracts, schema versioning, replay and backfill, observability, lineage, ownership, and access controls.
Turned cross-team constraints into implementable roadmaps and acceptance criteria across DWH, provider onboarding, clickstream, experimentation, recommendation, and governed LLM integrations.






















