Mukesh Rajmohan

Data Engineer @UnitedHealth Group

US

Partnered with clinical, payer, and analytics stakeholders to define actionable claims-to-insights KPIs, designed Snowflake models and Databricks notebooks on AWS S3 to significantly improve care access decisions across markets.• Built reliable ELT with Airflow, AWS Glue, and PySpark on Databricks, standardized eligibility, claims, and provider rosters in PostgreSQL to enable timely population health dashboards in Looker and Tableau.Led ingestion modernization by 40% using Talend and Glue, curated longitudinal member datasets, established data contracts and CDC patterns, reducing reconciliation escalations and supporting actuarial pricing conversations.Implemented robust data quality and governance with Python, SQL and Great Expectations-like validations; embedded lineage, PII tagging, and HIPAA controls to accelerate compliance reviews and downstream analytics trust.Operationalized CI/CD with Jenkins and Docker for versioned pipelines; introduced environment promotion gates and rollback playbooks, enabling predictable releases and faster cross-functional signoffs for quarterly portfolio.Engineered cost-efficient Snowflake clustering and partitioning, expertly tuned PySpark jobs and optimized storage layouts on S3 to shorten nightly windows, improving clinical gap-closure workflows and overall executive reporting.Drove 25% faster feature delivery with Pandas and Scikit-learn datasets, partnered with data science to productionize risk/utilization features, informing care management outreach and provider performance evaluations.Facilitated stakeholder demos in Jupyter, translated pipeline telemetry and SLAs into business narratives, aligning roadmaps with market goals while documenting runbooks and lifecycle artifacts in Git for continuity.

George Mason University

Master of Science - MS

Coimbatore Institute of Technology

Master of Science - MSc