Developed the company’s core ETL platform using Airflow and Redshift. Enabling SQL-based data modeling and powering all internal analytics and reporting.
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Built scalable low-latency data pipelines for ingesting healthcare data using AWS technologies (Kafka, Lambda, S3), reducing data delivery latency by 70%
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Led company-wide implementation of data-at-rest encryption across all storage systems, achieving HIPAA-compliant database infrastructure.
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Rearchitected reporting and analytics services using Kubernetes and Kafka-based event triggers, decoupling workloads and reducing ETL processing time by 40%.