Lucas Coffey

Military veteran, with 4 years of specialized experience in building data intensive machine learning applications at Accenture Federal Services supporting the Centers for Medicare & Medicaid Services, Healthcare.gov and USMS. Served as a Hybrid Data Engineer Tech Lead, while owning the Risk-Adjustment Machine Learning use case, driving development and implementation. Offering extensive knowledge in engineering tasks within the fields of data, machine learning engineering and automation such as developing data pipelines, automating ETL using serverless services and even building internal team tools. Possesses a comprehensive background in AWS, Python, PySpark, Kafka, SQL, Java and Javascript. Ability to solve diverse problems across industries—whether it's building scalable data pipelines, deploying AI-driven solutions, or optimizing machine learning models for real-world impact. At the intersection of Engineering and Data Science, ensuring that innovative models don’t just work in theory but drive real business value. Passionate about leveraging cutting-edge technology to help organizations make smarter, data-driven decisions. Career supported by a Bachelor’s Degree in Information Technology, an Associate’s Degree in Business and multiple technology and aviation certifications.

Education

2016-2019
University of Southern New Hampshire University

Bachelors in Information Technology - Web Development

Bachelors degree in Information Technology with a concentration in Web Development.

2015-2017
University of Southern New Hampshire University

Associates in Business Administration

Associates degree in Business Administration and Finance.

2002-2002
Community College of the Air Force

Aerospace Maintenance Apprenticeship - C-130 Specialty

Air Force Air Force Aerospace Maintenance Apprenticeship program for C-130H aircraft at Little Rock, AFB, Arkansas

2002-2002
Community College of the Air Force

Aerospace Maintenance Apprenticeship - Cargo Aircraft

Air Force Aerospace Maintenance Apprenticeship program for cargo aircraft and bombers at Wichita Falls, AFB, Texas.

2001 - 2002
Community College of the Air Force

Basic Military Training

Basic Military Training with the U.S. Air Force at Lackland, AFB, Texas

Experience

2024 - Present
Accenture Federal Services

MLOps Engineer

MLOps and Infrastructure Engineer at Accenture Federal Services, supporting CMS and Healthcare.gov by maintaining and troubleshooting AWS environments, provisioning infrastructure, and ensuring compliance through naming and tagging. Responsibilities include patching ML and data applications, managing Kafka servers, developing internal tools, and creating a Blueprint tracking app for Terraform changes. Additionally, provisions servers, databases, and other AWS resources while maintaining step functions to automate EMR cluster operations.

2023 - 2024
Accenture Federal Services

Data Engineer

Served as Tech Lead and Data Engineer at Accenture Federal Services, supporting CMS and Healthcare.gov by developing and maintaining Spark-based data pipelines on AWS Glue. Led the cloud migration of AI and Data services to a dedicated team account, integrated CI/CD workflows into AI and Data Science processes, and contributed to AI team projects by automating data workflows. Utilized Jupyter Notebooks on Amazon EMR for data cleaning and analysis while building data workflows with AWS Glue, Lambda, and SageMaker. Additionally, owned the Risk Adjustment use case as a Machine Learning Engineer.

2022 - 2024
Accenture Federal Services

Machine Learning Engineer

Served as a Machine Learning Engineer specializing in the Risk Adjustment (RA) use case for CMS, developing models and dashboards to identify high-risk behaviors among plans, agents, and brokers. Leveraged AI models with TensorFlow and Scikit-Learn to detect fraud, drift, and anomalies, providing data-driven insights for decision-making. Owned and maintained RA models, automated data pipelines using AWS Glue and Step Functions, and created bi-annual reports shared with CMS leadership via AWS QuickSight dashboards.

2021 - 2022
Accenture Federal Services

Data Engineer

Worked as a Data Engineer on a USMS and DOJ project, leading the cloud and data migration from legacy Oracle data mart to an AWS Cloud-Native Data Lakehouse. Migrated data to S3, transformed file structures to Parquet, and developed complex SQL queries in Amazon Redshift and Athena for Tableau reporting. Reconciled legacy data between Oracle SQL Developer and Athena, documented the new infrastructure through Source-to-Target Mapping, and built ETL pipelines using AWS Glue and Lambda. Additionally, utilized AWS Glue to crawl and transform legacy data while managing data storage across S3.

2001 - 2006
Kentucky Air National Guard

Crew Chief - C-130H

Job consisted of Maintain aircraft, support equipment (SE), and forms and records. Perform production supervisor, flight chief, expediter, crew chief, support, aero repair, and maintenance functions.

Advise on problems maintaining, servicing, and inspecting aircraft and aerospace SE. Use technical data to diagnose and solve maintenance problems on aircraft systems. Interpret and advise on maintenance procedures and policies to repair aircraft and SE.

Supervise and assist in launching and recovering aircraft. Review maintenance data collection summaries to determine trends and production effectiveness. Perform crash recovery duties.

Used data-driven decision making to perform staff and supervisory management functions.

Certificates