Distributed Search Infrastructure Optimization
$500K+
Projected savings
30%+
Infrastructure cost reduction
99%
Platform uptime
10-14 engineers
Team size managed
The Challenge
A distributed search platform serving as the critical dependency for all other applications in a healthcare data ecosystem. Infrastructure costs were growing linearly with data volume, and the team needed to maintain 99% uptime while optimizing for long-term sustainability.
The Approach
Led a team of 10-14 staff engineers in redesigning the infrastructure layer. Built Java services and MapReduce data processing pipelines powering all search services for a NoSQL datastore. Processing pipelines generated fresh outputs on 2, 4, and 6-hour refresh cycles. Focused on infrastructure efficiency optimizations that would compound over time.
All Results
$500K+
Projected savings
30%+
Infrastructure cost reduction
99%
Platform uptime
10-14 engineers
Team size managed
2/4/6 hour
Data refresh cycles
Technology
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