Harshith Reddy K

Azure Data Engineer @Radiology Partners

Nashville, TN, US

Engineered and optimized Fabric Lakehouse storage on Azure Data Lake Gen2 using Medallion architecture, Dataflows Gen2, Delta Tables, and shortcuts to streamline ingestion of study metadata, provider subspecialty, and operational metrics.• Monitored and optimized Fabric capacity and performance using admin metrics, autoscaling, and cost governance to ensure high availability for daily read ingestion and near real-time analytics dashboards.• Integrated Microsoft Fabric with Power BI and Microsoft 365, building semantic models and DAX measures to track case distribution by modality, critical-result reporting, and subspecialty coverage, secured through RLS, RBAC, and sensitivity labels.• Automated ingestion pipelines from QGenda, vRad, and credentialing systems into Fabric, orchestrating Raw, Refined, and Curated zones via Spark Notebooks, Dataflows Gen2, and REST APIs unified in OneLake for centralized radiology analytics.• Implemented governance and orchestration in Fabric, leveraging REST APIs, CI/CD pipelines, and on-prem gateways to automate data refreshes for provider availability, read throughput, and shift assignments.• Developed scalable ETL pipelines using Fabric Data Factory to ingest and process data from SQL Server, Azure Blob, and external APIs into Fabric OneLake.• Designed and managed Fabric Lakehouse solutions leveraging Delta Tables for structured data storage, supporting analytics and reporting use cases.

VNR Vignana Jyothi Institute of Engineering and Technology (VNRVJIET)

Bachelor's degree