Unzay Farid

At OceanMD, I architect multi-cloud healthcare data platforms across AWS, Azure, and GCP for clinical, patient, provider, and claims analytics.

I've built 50+ ETL/ELT pipelines processing more than 5 TB of healthcare data daily, cutting average runtime by 35%. I also engineer Kafka, Debezium, Spark Structured Streaming, Pub/Sub, and Kinesis pipelines that deliver operational and clinical insights in under five seconds.

I design Databricks and Delta Lake medallion lakehouses, along with Snowflake, BigQuery, Redshift, and Synapse warehouses that enable self-service analytics across 12+ business units. My governance work with Unity Catalog, Great Expectations, Apache Atlas, and Microsoft Purview reduced data-quality incidents by 45% while maintaining HIPAA compliance with zero reportable incidents.

Previously at BIWorks and Thrive Health, I modernized legacy ETL and warehouse environments, improved performance and cost efficiency, and built reliable analytics-ready datasets. I lead architecture reviews, mentor engineers, and shape data platform roadmaps for healthcare analytics and AI/ML workloads.