Designed and launched EPA REST endpoints using NCPDP standards for a healthcare technology company processing 100K+ pharmacy claims daily. Built distributed microservices leveraging REST and RabbitMQ for electronic prior authorization workflows, increasing system uptime by 54% and improving reliability for high-volume claims processing in a $10M revenue SaaS platform serving drug stores and PBMs across the USA.
Engineered Apache Airflow 1.x DAGs to automate manual data transfer and invoicing workflows, reducing manual work by 73% and ensuring robust execution for healthcare operations. Architected an event-driven case processing pipeline using Airflow 2.x and RabbitMQ, with downstream transformations to Amazon Redshift, decreasing transfer errors by 48% and enabling scalable, fault-tolerant case handling at enterprise scale.
Technologies: Python, REST APIs, RabbitMQ, Apache Airflow, Amazon Redshift, NCPDP standards, Microservices.