Healthcare data platform connecting care providers across the continuum
Trella Health operates a data analytics platform built on Snowflake, Databricks, and BigQuery with dbt transformation and Fivetran/Airflow/Dagster orchestration — a mature, multi-warehouse modern-data-stack architecture. Active roadmap priorities (multi-year AI strategy, MLOps/LLMOps practices, serverless adoption, CI/CD maturity) reveal an engineering organization shifting from analytics-as-reporting toward operational AI. Current hiring skews sales (3 roles) and data (2 roles) with VP and manager-level openings, suggesting both top-of-funnel scaling and platform team leadership gaps.
Trella Health provides data analytics and insights to healthcare providers across the care continuum—hospitals, health systems, home health agencies, hospice, and skilled nursing facilities. The platform surfaces partner performance data and operational metrics to help care organizations improve sales effectiveness, streamline operations, and identify cost-efficient provider relationships. Founded in 2015 and headquartered in Atlanta, the company operates with 51–200 employees and is privately held. Trella's sales model spans both direct enterprise engagement and developer-led adoption, with current hiring acceleration in sales and data engineering roles.
Trella uses Snowflake, Databricks, and BigQuery for data warehousing; dbt for transformation; Fivetran, Apache Airflow, and Dagster for orchestration; AWS (ECS, EKS, Lambda, RDS) for compute and infrastructure; Kubernetes and Docker for containerization; and Salesforce for CRM.
Active projects include multi-year AI and MLOps roadmaps, AI-first operating model development, BDR strategy, AWS cloud infrastructure scaling, CI/CD pipeline maturity, pipeline generation for marketing campaigns, and serverless architecture adoption.
Trella Health's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.