•Developed secure, cloud-based applications for healthcare data processing using Python, Node.js, SQL, and Snowflake on AWS, improving workflow automation and reducing data retrieval latency by 35%.
•Designed and deployed CI/CD-driven ETL pipelines and serverless ingestion processes with AWS Lambda, S3, and DynamoDB, ensuring fault-tolerant architecture and HIPAA-compliant data handling.
•Built interactive dashboards with Power BI and Tableau, integrating backend APIs to deliver real-time operational and patient care insights for providers.
•Implemented predictive analytics and machine learning APIs to forecast chronic illness outcomes, enabling earlier interventions and reducing patient risk factors.
•Collaborated with cross-functional engineering teams to improve system reliability, scalability, and monitoring, minimizing downtime and strengthening cloud reporting solutions.
•Led Agile sprints across healthcare and AI development projects, managing timelines, risks, and documentation to ensure transparency, audit-readiness, and continuous improvement.