Ashish Katuri

Architected and deployed scalable RESTful APIs with Python (FastAPI) and PostgreSQL to enable real-time data exchange across 10+ healthcare systems in compliance-sensitive environments. Improved backend latency by implementing asynchronous I/O and Redis caching, reducing response time from 2.4s to 0.9s for 50,000+ daily transactions. Built automated data pipelines in Python, Pandas, and AWS Lambda processing 4TB weekly, enhancing prescription and inventory reconciliation. Led containerization with Docker/Kubernetes for zero-downtime deployments across 8 production clusters. Implemented PyTest-based unit tests and GitHub Actions, enabling 300+ automated builds with minimal rollbacks.

Architected and deployed scalable RESTful APIs using Python (FastAPI) and PostgreSQL to enable seamless integration among 10+ healthcare systems, improving real-time patient data exchange in compliance-sensitive environments. Optimized backend performance with asynchronous I/O and Redis caching, reducing API response time from 2.4s to 0.9s and increasing reliability for 50,000+ daily transactions. Built automated data pipelines with Python, Pandas, and AWS Lambda to process 4TB of medical transaction data weekly, enhancing accuracy in prescription and inventory reconciliation workflows. Led cross-functional efforts to containerize backend services with Docker and Kubernetes, delivering zero-downtime deployments across 8 production clusters. Championed code quality with unit testing (PyTest) and GitHub Actions CI/CD, resulting in 300+ automated builds with minimal rollback incidents, and improved maintainability across the service mesh.

Built enterprise-grade data pipelines with PySpark and AWS Glue processing ~1.8 TB daily, improving downstream analytics by 2.5 business hours. Created Kafka-based ingestion streams and Snowflake staging layers handling ~8.2M transactions/day for real-time credit exposure monitoring. Optimized SQL-based ETL queries and indexing, reducing batch times from 11 minutes to under 3 minutes. Automated archival workflows via AWS Lambda and S3 Glacier, migrating 4.6B rows of trade history and saving ~ $42k annually. Collaborated with DevOps and governance teams to design validation checks and schema enforcement across 14 feeds, ensuring zero integrity breaches during audits. Mentored 3 associate data engineers on Spark optimization, SQL tuning, and data modeling.