Vidya M.

Data Engineer @UnitedHealth Group

US

Collaborated with business and technical teams to design and implement data pipelines using AWS Glue and EMR, integrating multiple complex data sources (e.g, structured, semi-structured, and EHR systems) to support healthcare analytics and improve data processing efficiency by 25%. Designed and implemented scalable ETL / ELT pipelines leveraging PySpark, AWS Glue, and SQL, ingesting and transforming heterogeneous healthcare data (EHRs, claims, semi-structured logs) to support downstream analytics and reporting. Built real-time streaming architectures using Apache Kafka and Spark Structured Streaming, supporting sub-second ingestion and transformation of patient event data while enforcing HIPAA compliance, data encryption, and role-based access controls. Developed data validation, anomaly detection, and quality assurance frameworks (unit tests, schema checks, alerting) that reduced data inconsistencies by 30%. Architected and maintained data lake infrastructure on AWS S3, optimized partitioning, lifecycle policies, and query performance with Athena / Redshift, reducing query latency and storage costs. Collaborated with clinical, product, and analytics teams to deliver Power BI dashboards and interactive reports, translating clinical and operational metrics into actionable insights (e.g. patient outcomes, resource utilization). Automated pipeline deployment, CI/CD, and operational monitoring (alerts, logging, SLA tracking), increasing delivery speed and reducing manual interventions. Led efforts in data governance, lineage, and metadata management, documenting data flows, schemas, and transformations for auditability and cross-team clarity. Mentored junior engineers / analysts, conducted code reviews, and participated in architecture reviews and tech evaluation.

University of Illinois Springfield

Master's degree

GITAM Deemed University

Bachelor's degree