Healthcare data platform for provider networks and claims analytics
Trella Health runs a data-intensive operation centered on Databricks, Spark, and Snowflake—actively replacing legacy SAS infrastructure while adopting Databricks at scale. The hiring velocity is accelerating, heavily weighted toward data roles (7 of 14 open positions), signaling a major pipeline modernization effort. Pain-point data confirms the pattern: legacy SAS migration, PHI-scale processing, and ETL optimization are core internal blockers being addressed through GenAI-ready infrastructure.
Trella Health provides data analytics and operational intelligence to healthcare networks—hospitals, health systems, skilled nursing, hospice, and home health operators. The platform surfaces insights across partner performance, claims data, and operational metrics, enabling providers to optimize referral networks and cost structures. Based in Atlanta with 51–200 employees, the company operates a B2B data infrastructure supporting mid-market and large health systems. Revenue model and customer count are not disclosed; the org structure reflects a data-forward approach with significant engineering and analytics investment.
Databricks, PySpark, SQL, Python, Apache Spark, Kafka, Snowflake, PostgreSQL, and Salesforce. Currently adopting Databricks and Snowflake; migrating away from SAS.
Scalable Databricks workflows for healthcare claims, SAS-to-Databricks pipeline modernization, multi-tenant data lake infrastructure, data quality monitoring frameworks, and GenAI integration roadmap.
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