Brennan Romash
Brennan Romash's portfolio – Data Engineer | Researcher | Systems Builder
Turning Complex Problems into Elegant Systems
With a background in computational science and years of experience in data engineering, I specialize in creating smart, scalable solutions that bridge business goals and technical execution. I’ve built integrations, streamlined analytics, and automated systems across public and private sectors. Let’s connect if you're interested in building something thoughtful, fast, and impactful.
How I Can Add Value
Data Science & Engineering
Designing pipelines that transform raw data into useful insights — scalable, reliable, and secure.
Workflow Automation
Automating repetitive tasks and designing efficient data workflows that streamline operations and reduce errors.
AI & Prototyping
Rapidly developing AI and analytics prototypes to test ideas and deliver value quickly.
System Integrations
Connecting tools and systems to improve data flow, decision-making, and visibility across platforms.
Cloud & Infrastructure
Deploying and maintaining cloud-based tools using platforms like AWS, Azure, and Snowflake.
Stakeholder Collaboration
Working closely with technical and non-technical teams to ensure solutions align with business needs.
Career Highlights
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Data Engineer – The Carlyle Group
Designed and automated data integrations, reporting systems, and proof-of-concept prototypes across teams. Developed end-to-end analytics tools, streamlined processes, and supported AI-driven insights for the business.
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Systems Programmer II – Florida Department of Revenue
Led the development of Florida’s property tax analytics system, performed tax policy research, optimized complex datasets, and authored technical documentation for secure and scalable systems.
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Graduate Coursework – Florida State University
Completed advanced coursework focused on machine learning, data science, and scalable scientific computing methods.
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B.S. in Computational Science – Florida State University
Graduated with a B.S. in Computational Science and a Mathematics minor. Gained strong foundations in statistical modeling, programming, and interdisciplinary applications of technology.