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Niharika A
Data Engineer @UnitedHealth Group
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WORK HISTORY
Data Engineer @UnitedHealth Group
US
Built and scaled Azure-based healthcare data pipelines using ADF, ADLS Gen2, and Databricks (Spark/PySpark) toprocess clinical, eligibility, and claims data, improving analytics readiness and cutting manual prep effort by 30%.• Implemented FHIR R4–compliant ingestion and transformation workflows using REST APIs, Delta Lake, and SQL,enabling reliable interoperability across payer, provider, and care management systems.• Developed incremental and historical claims processing frameworks on Databricks with Snowflake / Azure Synapse,supporting long-term cost-of-care and utilization trend analysis for actuarial and finance teams.• Delivered curated datasets for payment integrity and fraud analytics, tuning storage and queries to achieve 35–40%faster performance for operational and compliance reporting in Power BI.• Partnered with data science teams to support ML-driven risk stratification and anomaly detection, providing featureready datasets from Spark and Delta Lake that improved model stability and reduced retraining overhead.• Integrated Databricks transformations with downstream AI/ML platforms, improving data freshness and reliability forpredictive use cases in claims outlier detection and population health analytics.
EDUCATION
University of North Texas
Master's degree, Information Technology
ABOUT NIHARIKA A
I’m a Data Engineer who builds scalable, high-performance cloud data platforms for analytics, compliance, and AI/ML—especially in healthcare and insurance.With 4+ years of hands-on experience, I’ve designed batch and real-time pipelines using Spark, PySpark, SQL, and Python across Azure, AWS, and GCP, turning complex clinical, claims, and behavioral data into trusted, decision-ready insights.At UnitedHealthcare Group, I work on FHIR R4-compliant healthcare pipelines, supporting interoperability, cost-of-care analysis, fraud detection, and ML-driven risk analytics—while consistently improving performance and reducing manual effort.I care deeply about data quality, scalability, and long-term maintainability, and I enjoy partnering with analytics, data science, and business teams to turn data into real outcomes.Interests: Cloud Data Engineering, Healthcare Analytics, Streaming Systems, ML Data EnablementLet’s connect if you’re hiring or building modern data platforms.
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