Chicago, Illinois, United States
Data Engineer Client-United Healthcare Jan 2024 - present Chicago, IL • Designed and implemented AI-driven data pipelines using Python and Azure Data Factory, boosting processing efficiency by 40% while ensuring HIPAA compliance. • Integrated and transformed observability and healthcare datasets (EHR, claims, logs, metrics) to support real-time monitoring and anomaly detection. • Collaborated with engineers to embed AI/ML models into reporting workflows, enabling predictive insights and operational automation. • Optimized backend databases (SQL Server, PostgreSQL) and developed APIs for seamless integration with Splunk dashboards and CloudWatch alerts. • Built Python utilities and ML scripts that improved anomaly detection, reducing downtime by 20%.
BI Analyst Providence May 2019 - Apr 2022 Hyderabad, India • Designed and optimized ETL pipelines with Python & SQL to integrate observability data and operational metrics. • Developed automated Power BI dashboards with predictive features for prescription trend analysis and proactive monitoring, cutting response time by 30%. • Partnered with cross-functional teams to deploy AI/ML models for pattern detection in prescription adherence, improving monitoring by 20%. • Enhanced reporting workflows by 35% through backend optimization and ML-based preprocessing scripts.