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Healthcare·May 2026

Healthcare Data Platform Modernization for Scalable Analytics

Modernized legacy healthcare data warehousing onto a cloud-native lakehouse with built-in governance and lineage.

40%
Lower TCO vs legacy
100%
Reports migrated with parity
Healthcare Data Platform Modernization for Scalable Analytics
Challenge

The problem

A US healthcare customer was running an aging on-prem data warehouse that throttled every analytics request. Cost was rising; trust was falling.

Approach

How we engineered it

  • 1Replatformed from on-prem warehouse to a cloud-native lakehouse with parallel-run validation
  • 2Stood up dbt-based modeling with explicit data contracts and SLA monitoring
  • 3Embedded data-quality gates with Great Expectations and lineage with Collibra
  • 4Retired the legacy estate with a clear decommissioning plan
Outcomes

What shipped

Measured outcomes from the program — not promises.

40%
Lower TCO vs legacy
100%
Reports migrated with parity
Technology

What we built it on

SnowflakeDatabricksdbtCollibraGreat Expectations
Full case study

The complete case study, including detailed timelines and additional context, is published on the Neutrino site.

Read on neutrinotechsystems.com →
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