Shiva Sai Krishna Ellandula

I'm building end-to-end Python and SQL data pipelines at UnitedHealth Group, integrating hospital EHR and ADC system data for SaaS implementations. My work supports compliant handling and validation of more than 500,000 clinical documents.

I've deployed AWS Glue, Step Functions, and Lambda workflows for automated ingestion and transformation, while optimizing vector search retrievals to sub-two-second response times across 10,000 daily queries. I also debugged Python and Scala ETL codebases to reduce error rates by 25%.

Previously at Bank of America, I built PySpark and SQL pipelines, containerized AWS microservices with Docker and Kubernetes, and created monitoring dashboards with Great Expectations that reduced data integrity incidents by 45%.

At Tiger Analytics, I developed fraud detection models, real-time SageMaker scoring APIs for 50 million monthly transactions, and Airflow validation pipelines delivering over 99.9% data integrity. I enjoy translating complex data findings for both technical and non-technical teams while improving reliable, compliant data products.