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The new architecture is a continuous Kafka-driven event stream that processes updates as they arrive.",[112,116,117],{},"We ran the migration in two phases. Phase one was the ENI population (Individual and Family, Employer-Individual), roughly a third of the provider universe; it ran zero-downtime, parallel-execution-in-production, with output diffing to confirm equal-or-better data quality. Phase two covered the remaining 70% of the population in three months, accommodating per-population credential listing rules, Medicare and Medicaid specific data requirements, and the long tail of provider data normalization. We negotiated 13 additional offshore engineers to make the phase-two timeline achievable.",[112,119,120],{},"The hardest part was not the architecture; it was the data. Six months of negotiating the long tail of edge cases in provider records across multiple acquired companies. The result is the highest-quality provider directory in the network.",{"title":122,"searchDepth":123,"depth":124,"links":125},"",2,3,[],"Optum (UnitedHealth Group)","2024-06","md","Replaced a weekly batch provider data pipeline with a Kafka event stream serving 50M+ members.",{},true,[133,134,135],"Latency dropped from two weeks to four hours","Delivered one week ahead of schedule, zero downtime","$1.2M per month in processing savings","\u002Fwork\u002Fdirectory-modernization","optum","Engineering Manager",[140,141,142],"3.2M provider record updates per day","1.7M providers searchable","50M+ members served",{"title":106,"description":114},"directory-modernization","2023-09","work\u002Fdirectory-modernization","7 to 20 engineers (core team plus offshore for phase 2)",[149,150,151,152,153,154],"Scala","Kafka","AWS","Elasticsearch","PostgreSQL","Kubernetes","At Optum I led the team that rebuilt the provider data pipeline. The old one was a weekly file-based batch. 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