I am a Clinical Data Analyst looking for other DA or DE roles with a proven record of enhancing data pipeline performance, demonstrated by a 75% reduction in runtime and effective management of over 25 million business records. I am adept in digital twin technology and SAS/SQL analytics, with significant contributions to environmental savings and healthcare quality improvement, as well as adept in Java, Python, SQL, SAS, and an array of tools including Apache Airflow, various AWS tools, and Docker. I deliver data solutions that drive business intelligence and operational excellence.
β’ 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.
β’ Collaboration: Partner with co-workers to reduce ETL pipeline runtimes by 75% through asynchronous ETL Python scripts.
β’ 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.
β’ Consultation: Consult with Fortune 500 clients to improve production line efficiency, saving $8.5B+ and reducing CO2 output by 2.5M+ tons.
β’ Data Pipeline Architecture: Build scalable, automated digital twin data pipelines using Java and SQL to support 50K+ manufacturing users.
β’ Impactful Analysis: Automate processing and analysis of 35M+ Medicare records and 150K+ clinical cases, supporting top US hospital systems.
β’ Data Reporting: Produce stakeholder-ready reports using SAS,SQL and Excel visualizations, improving readmission rates by 10% and cutting costs by 30%.
β’ 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.
β’ Technical Proficiency: Write complex SQL (DML & DDL), queries to extract, transform, load, and analyze data for state, regulatory, program, and executive needs.
β’ 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.
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