I’m a Senior Data Engineer with 7+ years of experience designing, optimizing, and supporting enterprise-scale data platforms and high-volume transactional systems. I focus on SQL performance tuning, OLTP database design, data modeling, ETL development, migrations, and production support for mission-critical applications.
At Cigna, I architected enterprise-scale data services supporting 20TB+ daily clinical and claims transactions across AWS and Databricks, achieving 99.9% availability while reducing data latency by 35%. I engineered SQL and PySpark performance improvements that reduced query execution times by 40% and strengthened SLA compliance.
I build reliability and data trust through automation: automated database validation and reconciliation reduced data quality incidents by 60% and accelerated issue detection to under 15 minutes. I’ve also delivered secure data migration pipelines across Oracle and PostgreSQL (and cloud-based integrations), and improved incident response efficiency by 45% using operational monitoring and alerting.
Previously, at Optum and Liberty Mutual, I optimized ETL/ELT and SQL workloads (including cloud-native transformations) to cut execution time by 25%, improve reporting delivery by more than three hours daily, and raise production uptime to 98%. Earlier in my career as a Backend Developer, I built high-performance services with Python frameworks and tuned database access patterns to improve response times by 35%, partnering closely with engineers and operations to keep systems stable and scalable.
