At CareRev, I lead the architecture and evolution of AWS data platforms processing 70+ TB daily for analytics, operational intelligence, and ML workloads used by 1,000+ users.
I've modernized 200+ legacy workflows into a standardized dbt and Apache Airflow ELT architecture, reducing infrastructure costs by 30% and improving pipeline reliability by 60%. I build batch and real-time platforms with Spark, PySpark, Kafka, and Spark Streaming for fraud detection, customer intelligence, predictive analytics, and reporting.
Previously at Ayar Labs, I built healthcare data platforms spanning clinical, claims, patient, and operational data. I reduced latency for real-time clinical alerting by 50% and cut manual audit effort by approximately 70% through automated validation, lineage tracking, and compliance workflows.
Earlier at Clever Inc., I developed Python and SQL pipelines, data models, Airflow workflows, and Redshift migrations that improved dashboard response times by up to 10x. I also mentor engineers, set engineering standards, and partner with product, analytics, data science, and business teams to deliver governed, reliable data products.
