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Success Story

Modernizing Enterprise Data Warehouse for Smarter & Faster Healthcare Insights for a Leading Value-Based Caregiver

Client Background

A value-based care organization focused on improving outcomes by enabling seamless data collaboration across payers, providers, and internal systems.

Client Need

The client wanted to:
Ingest multi-format healthcare data (CSV, JSON) from external partners—50+ payers covering 100+ contracts
Integrate structured data from internal enterprise apps (MySQL)
Enable reliable, scalable analytics for internal and external stakeholders
Improve automation, data quality, and processing speed

Solution

Utilized Snowflake external tables to query GCS-hosted files without upfront loading
Semi-structured JSON/CSV data parsed in VARIANT columns, processed via dbt
Synchronized MySQL data using Fivetran pipelines directly into Snowflake
Automated workflows orchestrated through DBT Scheduler
Developed modular dbt models for maintainable, auditable transformations

Realized Benefits

~70% reduction in pipeline processing time (30 hours to ~9 hours)
Rapid onboarding of new data sources via reusable ingestion patterns
Improved data quality & transparency with standardized dbt models
Robust data governance and secure access for downstream users
Scalable, cloud-native platform ready for AI/ML expansion

Tools & Technologies

Snowflake on AWS
Google Cloud Storage (GCS)
Fivetran
MySQL
Dbt
DBT Scheduler

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