15+ years of hands-on data engineering and architecture experience, with 3 5+ years building production AI/ML and LLM-era data infrastructure. Proven experience designing enterprise-scale AI data platforms that serve multiple AI consumers - not just one application or pipeline. Deep expertise in lakehouse and data mesh architectures: Databricks, Delta Lake, PySpark, Kafka, Spark Structured Streaming, cloud-native data services (AWS, Azure). Hands-on experience with vector stores, semantic models