Vamshi Vardhan

Data Engineer @Syneos Health

US

Architected a HIPAA-compliant data lake on Azure Data Lake Storage (ADLS) Gen2 and Azure Synapse, ingesting 50M+ patient records from EHR systems, reducing data silos by 70%.• Optimized Synapse SQL pools for actuarial analytics, reducing query time from 12 mins to 45 secs, saving $22K/month in compute costs.• Developed a real-time claims adjudication pipeline via Azure Event Hubs and Azure Functions, processing 500K+ daily transactions with 99.99% uptime.• Built a PySpark ML model in Azure Databricks to predict high-risk patients (diabetes, hypertension), improving care intervention accuracy by 28%.• Automated CDC (Change Data Capture) for SQL Server using Azure Data Factory (ADF) and Azure SQL DB, syncing 15TB of provider data to Synapse hourly.• Designed a Cosmos DB-backed member portal, scaling to 10K+ concurrent users during open enrollment with <100ms latency.• Reduced ETL failures by 40% by implementing ADF pipeline triggers and Azure Monitor alerts for proactive issue resolution.• Migrated legacy SAS reports to Azure Synapse and Power BI, enabling self-service analytics for 200+ business users.• Orchestrated CI/CD pipelines with Azure DevOps, deploying 50+ data models to production with zero downtime.• Implemented column-level encryption in Azure SQL DB for PHI data, ensuring HIPAA compliance across 12 datasets.• Trained 25+ actuaries on PySpark UDFs in Databricks, reducing ad-hoc report generation time from 8 hours to 30 minutes.• Cut storage costs by 35% by tiering infrequently accessed claims data to Azure Archive Storage via lifecycle policies.• Deployed an Azure Machine Learning (AML) endpoint for prior-authorization predictions, reducing manual review workload by 20K hours/year.• Standardized IaC using ARM templates & Bicep, provisioning 20+ Azure resources (Synapse, Databricks, ADF) in <15 minutes.

JNTUH College of Engineering Hyderabad

Bachelor's degree

University of North Texas

Master's degree