Data Engineer

• Data Pipelines: Design and automated ETL pipelines using Python, SQL, and Apache Airflow to process over 25M+ business records for real-time ML search applications.
• Collaboration: Partner with co-workers to reduce ETL pipeline runtimes by 75% through asynchronous ETL Python scripts.
• Data Manipulation: Configure Docker containers on AWS EC2 instances for scheduled Python and SQL scripts that ingest and cleanse small business data for efficient and high-quality user search results.

• Consultation: Consult with Fortune 500 clients to improve production line efficiency, saving $8.5B+ and reducing CO2 output by 2.5M+ tons.
• Data Pipeline Architecture: Build scalable, automated digital twin data pipelines using Java and SQL to support 50K+ manufacturing users.

• Impactful Analysis: Automate processing and analysis of 35M+ Medicare records and 150K+ clinical cases, supporting top US hospital systems.
• Data Reporting: Produce stakeholder-ready reports using SAS,SQL and Excel visualizations, improving readmission rates by 10% and cutting costs by 30%.

• Research: Create timely reports for critical projects for the state of Maine, and update Scorecards Performance Measures to track monthly performance for various internal programs.
• Technical Proficiency: Write complex SQL (DML & DDL), queries to extract, transform, load, and analyze data for state, regulatory, program, and executive needs.
• Reports: Collaborate with program leaders and directors to transform datasets into automated stakeholder-facing dashboards in Excel, Crystal Reports and iDashboards to support data-driven decisions.