Harrison Barnes
Chicago,IL
Summary
Adaptable and disciplined engineer with expertise in data integration, large-scale distributed processing, and machine learning applications. Skilled in designing, implementing, and optimizing big data pipelines using PySpark, AWS (S3, Athena, Glue, EMR), and SQL. Proven ability to bridge technical and business needs by collaborating with stakeholders to transform raw data into actionable insights. Experienced in building scalable, real-time data systems, supporting critical decision-making across industries including healthcare, finance, and security.
Overview
9
9
years of professional experience
Work History
Software Implementation Engineer
Pareto Intelligence
06.2023 - Current
- Designed and implemented PySpark-based ETL pipelines to process and integrate client data into the Medicare Advantage Hub, ensuring efficient ingestion and transformation of high-volume claims and enrollment data.
- Automated data cleaning, validation, and mapping workflows for diverse healthcare datasets, significantly reducing manual intervention and processing times.
- Managed schema documentation and data lineage tracking, enhancing transparency and audibility of ingested data.
- Developed and optimized SQL queries and AWS Athena transformations to improve query performance and data accessibility for business users.
- Worked extensively with AWS services (S3, Glue, EMR, Lambda) to orchestrate cloud-based data pipelines, optimizing performance and cost efficiency.
- Wrote Bash scripts to automate file processing, job scheduling, and system monitoring, streamlining data operations.
Software Engineer (Machine Learning)
Kroll Inc.
12.2021 - 03.2023
- Built and optimized a fraud classification model used by Florida and Rhode Island unemployment insurance programs, processing over 4 million claims.
- Prototyped and deployed machine learning applications on AWS SageMaker and Azure ML, including opioid diversion detection and sanction enforcement.
- Developed GPU-optimized graph clustering algorithms to analyze model results and improve fraud detection tuning.
- Researched and implemented explainability metrics (Shapley values, AUM, INCV, and DEP scores) for model interpretability.
Captain- Transmissions and Data Systems Networking
United States Marine Corps
05.2016 - 12.2021
- Led 200 personnel to perform system analysis, documentation, testing, implementation, and user support for platform transitions.
- Planned and conceived computer systems using information engineering, knowledge management, and structured analysis.
- Organized system infrastructure documentation and operating procedures, strengthening controls, and enhancing overall performance.
- Evaluated and adopted new technologies to address changing industry needs. Worked with Cisco, Windows servers, Linux servers, and numerous terrestrial and satelite data transmission platforms.
- Oversaw installation of software programs and hardware systems to meet customer requirements.
- Gathered requirements and performed gap analysis through design workshops with users.
Education
Bachelor of Science - Computer Science
United States Naval Academy
Annapolis, MD05.2016
Skills
- Programming Languages: Python, SQL, PySpark, Bash, C, C, Java
- Frameworks, Libraries, & Tools: TensorFlow, Scikit-Learn, Pytorch, NumPy, Pandas
- Platforms: Jupyter, Docker, AWS, Apache Spark, Git
- Agile Programming Methodologies and Scrum
- Strong Interpersonal and Communication Skills
- Time Management and Organization
- Project Management
- Analytical Thinking and Problem Solving
- Small and Large Team Leadership
- Technical Policy Development
Key Strengths
Innovative Team Leader: Recognized for a proven track record of developing high performing teams that span multiple specializations, bringing fresh perspective, motivation, and enthusiasm in order to deliver superior results.
- Revitalized a 200 person department that would go on to serve thousands of customers throughout the Marine Corps.
- Incorporated innovative practices and efficient workflows to optimize a command team serving all U.S. forces in Africa.
- Served as Team Lead for a software engineering project for the National Security Agency and was sole author of a Natural Language Processing algorithm used in the final product.
References
Available upon request
Timeline
Software Implementation Engineer
Pareto Intelligence
06.2023 - Current
Software Engineer (Machine Learning)
Kroll Inc.
12.2021 - 03.2023
Captain- Transmissions and Data Systems Networking
United States Marine Corps
05.2016 - 12.2021
Bachelor of Science - Computer Science
United States Naval Academy
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