4+ years of experience in ETL, cloud data pipelines, and analytics across pharma, e-commerce, and healthcare tech
Cut data warehouse request times from 3 months to 2 weeks; led DevOps and Kafka/Snowflake integration improvements.
Built large-scale Python ETL pipelines; developed marketing analytics APIs; deployed Docker pipelines to AWS; set up CX dashboards.
Optimized pharma marketing with ML-driven adherence metrics; led Azure migration and custom API workflows.
M.S. in Data Science (4.0 GPA), B.A. in CS & Quant Econ. Published research on predictive modeling for railroad safety and decision-making in pediatric rheumatology.
I'm a Data Engineer with 4+ years of experience building scalable data solutions across diverse industries including pharmaceuticals, e-commerce, and healthcare technology.
My expertise spans the entire data pipeline lifecycle - from ETL development and cloud infrastructure to analytics and machine learning applications. I've consistently delivered measurable improvements in data processing efficiency and system performance.
Passionate about tennis, enjoying both competitive play and casual matches. The sport combines strategy, athleticism, and continuous improvement - qualities that translate well to data engineering.
Love hitting the slopes and exploring mountain terrain. Skiing provides the perfect balance of adventure and technical skill, much like building complex data pipelines.
Ruby is my beloved companion who brings joy and relaxation to my daily routine. She's the perfect coding buddy and helps maintain work-life balance.
Fascinated by furniture design and creating functional, beautiful spaces. This creative outlet complements my analytical work and helps develop spatial thinking skills.