Data Engineering & Pipeline Optimization for a Healthcare Technology Company
A venture-backed healthcare technology company focused on cloud-based solutions for drug discount program management and pharmaceutical compliance. Backed by top-tier venture investors.
What stood in the way.
As the platform scaled, data engineering capabilities became a bottleneck. Growing data volumes required faster and more accurate processing. Data models needed to be redesigned for scalability. Regulatory compliance in a sensitive healthcare environment demanded robust safeguards. Manual intervention in pipelines was creating errors and slowing delivery.
How we built it.
We embedded a team of data engineers, a fullstack engineer, and a data analyst into the company's workflows, tackling performance issues while laying the foundation for future growth.
Pipeline optimization
Data quality and safeguards
Future-proofing
Comprehensive testing
What we delivered.
20% higher match rates
3x reduction in memory usage
15% pipeline performance improvement
Future-proof design
Faster innovation cycles
In pharmaceutical compliance, the cost of getting data wrong isn't a dashboard error — it's a regulatory risk.
This engagement delivered hard, quantifiable improvements: 20% higher match rates, 3x memory reduction, 15% faster pipelines. But the real value is engineering that understands what's at stake. Every optimization was designed with compliance guardrails built in, not bolted on after the fact.
More work in Healthcare.
