MTA
Data and backend engineer across ClaimMind, Enterprise Lakehouse, and Intelligence Business Analytics — workflow orchestration, real-time CDC, and lakehouse architecture.
- Designed end-to-end workflow automation for ClaimMind using Temporal (Python SDK), integrating OCR, AI medical coding, validation, and stateful agent processing into a unified microservice
- Built real-time CDC pipelines with Debezium, Kafka, and Google Pub/Sub — synchronizing multi-tenant Postgres databases with claim systems at sub-second latency
- Developed an enterprise-grade data lakehouse for a financial company using MinIO, Lakekeeper, Apache Iceberg, Spark, and StarRocks
- Built the data integration pipeline for Intelligence Business Analytics, enabling secure AI-powered analytics over regulated datasets with zero data exposure
- Built and maintained the Orbit Worker on Netflix Conductor for secure local compute on client databases with centralized aggregation
- Automated service provisioning via Keycenter Workflow — handling deployment of IBA (AI Analytics), NeonDB projects, and Orbit configurations