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Automating claims data workflows at a fast-growing healthcare technology company

client stories Dagster DBT life sciences snowflake
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Built a unified, scalable Snowflake-based data platform to handle complex claims data.

Automated ingestion, transformation, and orchestration processes for faster, more reliable workflows.

Increased dispute success rates, recovered millions in revenue, and cut onboarding time to two weeks by implementing a modern data stack.

Challenge

The client is a fast-growing healthcare technology company that had scaled operations to 15 states in just two years but lacked a unified, scalable data platform to process complex healthcare claims efficiently.

Without automated ingestion, transformation, and governance processes, data workflows were manual, inconsistent, and unable to keep pace with the company’s rapid growth. The absence of an integrated system limited the client’s ability to generate actionable insights, improve dispute success rates, and connect seamlessly with downstream platforms like ARBIT V1.

Solution

Hakkoda partnered with the client team to design and implement a modern data platform on Snowflake, providing a scalable foundation for handling structured and unstructured healthcare claims data.

The Hakkoda team built automated ingestion pipelines, leveraged dbt for data transformations, and used Dagster for orchestration to ensure reliable, repeatable workflows.

A 10-person Hakkoda team now drives critical work streams across platform development, analytics, onboarding, testing, and validation. Downstream, this translates into faster insights, higher dispute success rates, and millions in recovered revenue. All while reducing customer onboarding times from several months to just two weeks.

The model

Technology used:

Snowflake

Dagster

dbt

Full time resources:

10 dedicated specialists

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