
Versatile Data Engineer with expertise in designing and implementing robust ETL pipelines. Skills include automating complex data workflows, optimizing cloud storage solutions, and ensuring data integrity and compliance. Committed to improving data processing efficiency and enabling insightful analytics through advanced cloud services.
High-impact Data Engineer with over 5 years of experience architecting scalable ETL/ELT pipelines within highly regulated environments (CVS Health). Expert in translating complex business requirements into robust technical solutions using Python, SQL, and Airflow. Proven track record of migrating legacy on-prem systems to cloud-native architectures (BigQuery/Snowflake) while maintaining strict HIPAA compliance. Passionate about Data Automation, dbt modeling, and leveraging Python for performance optimization. I-140 approved; dedicated to engineering elegant, automated solutions for large-scale data challenges.