Siri Chandana Muvva

About Siri Chandana Muvva

I’m a passionate Data Analyst with over 3 years of experience turning raw data into…

Experience

1. Data Engineer

   Shark Analytics

   Nov 2024 — Present

   Developed scalable ETL pipelines using Python, Apache Airflow, and AWS Glue to automate ingestion of claims, EHR, and insurance policy data. Managed cloud storage in AWS S3 and optimized workflows, reducing manual errors by 40%.• Administered databases including PostgreSQL, MongoDB, and DynamoDB to handle both structured and semi structured medical datasets. Optimized complex queries to improve data retrieval speed by 30%.• Created secure REST APIs to enable efficient data access for clinical teams and insurance partners. Reduced data latency and improved cross-functional collaboration.• Containerized microservices with Docker and orchestrated deployments via Kubernetes. This ensured consistent and scalable application delivery across development and production environments.• Implemented monitoring and alerting with Prometheus and Grafana, leading to a 25% reduction in downtime through proactive issue detection.• Wrote complex SQL queries to calculate healthcare utilization KPIs, including inpatient visits, emergency room usage, prescription refill gaps, and member risk scores.• Partnered with data scientists to prepare clean, feature-engineered datasets for predictive risk models. Enhanced model accuracy and streamlined data validation processes.• Enforced HIPAA compliance with role-based access control, data masking, and audit logging. Protected sensitive healthcare data in all data handling processes.• Automated data quality checks using Python scripts, detecting anomalies and duplicates early. Improved reporting trustworthiness by 35%.• Contributed to Agile sprints by delivering incremental analytics features, maintaining JIRA tasks, and collaborating with cross functional data engineering and BI teams.