About Me
I'm Drew, a software developer and data engineer based in Tulsa, Oklahoma. My work lives at the intersection of data engineering and full-stack development — I build systems that move, transform, and surface data, as well as the web applications that make that data useful to real people.
What drives me is the satisfaction of turning complexity into something clean and dependable. Whether that's an ETL pipeline processing millions of records reliably, or a web app that just works the way users expect, I care about getting the details right. I like problems that are messy at the start and crisp at the end.
Outside of work, I spend time outdoors when I can — hiking, running and staying active help me reset. I'm also a genuine tech enthusiast; I tinker with side projects, keep up with what's moving in the data and AI space, and enjoy the craft of building things that didn't exist before. I graduated from Pittsburg State University in 2022 and have been building in the real world ever since.
Experience
Technologies & Tools
.NET
C#
TypeScript
Node.js
React
Vercel
Azure
GitHub Actions
Next.js
BigCommerce
Supabase
SQL Server
Claude
- Modernized critical educational infrastructure by rewriting a legacy application in Blazor, serving 15,000 teachers across Kansas, significantly improving system performance, maintainability, and user experience.
- Architected and deployed data pipeline processing 1.3M orders, 580K customers, and 30M custom field records from legacy application to BigCommerce API while managing rate limits and maintaining pipeline observability through comprehensive metadata tracking.
- Led migration from legacy custom platform to BigCommerce SaaS, designing ETL processes for data transformation and validation across SQL Server databases.
- Built and maintained serverless applications using Next.js, integrated with AWS S3 for cloud storage solutions.
- Developed automated CI/CD pipelines using GitHub Actions for continuous deployment.
- Served as primary client liaison, regularly conducting status updates and discovery meetings with stakeholders to gather requirements, communicate project progress, and ensure alignment between technical deliverables and business objectives.
Technologies & Tools
Python
C#
PostgreSQL
Azure
Vue.js
Kafka
RabbitMQ
- Designed and implemented ETL pipelines consuming end-of-day files from 1,000+ POS systems, processing data into PostgreSQL and Azure SQL databases.
- Built distributed event streaming architecture using Apache Kafka for real-time ticket data processing and RabbitMQ for reliable message queuing in data workflows.
- Developed batch processing systems handling high-volume data transformation with fault tolerance and retry mechanisms.
- Leveraged expertise in Vue.js and JavaScript to architect user interfaces while spearheading backend development utilizing Python and PostgreSQL.
- Utilized Azure cloud services, including Azure Functions and Azure Data Factory, to design and implement data pipelines for efficient data processing, transformation, and analysis workflows.
Technologies & Tools
Power BI
SQL Server
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Excel
- Developed interactive and optimized dashboards using Power BI and Microsoft SQL Server, providing valuable insights to the head pricing analysts and streamlining their analysis processes.
- Designed and implemented an automated data fetching program, resulting in significant time savings of approximately 15 minutes per day for the team.
- Utilized advanced Microsoft Excel techniques for data cleaning and conducted comprehensive analysis on customers and carriers within their databases, enabling data-driven decision-making.
Skills & Tools
Languages
Python
TypeScript
C#
SQL
Frameworks & Platforms
.NET
React
Vue.js
Next.js
BigCommerce
Django
Data & Databases
PostgreSQL
SQL Server
Kafka
RabbitMQ
Supabase
Power BI
Excel
Cloud & DevOps
Azure
AWS
Vercel
GitHub Actions
Heroku
Postman
How I Work
Data-First Thinking
Good software starts with understanding the data. Every system I build is designed to make data reliable, traceable, and actionable — because decisions are only as good as what they're built on.
Practical Over Perfect
I favor clean, working solutions over over-engineered ones. Shipping something solid and maintainable beats perfecting something nobody uses. I keep things simple until complexity earns its place.
Continuous Learning
The tools change fast. I stay sharp by building side projects, reading broadly across data and software engineering, and staying genuinely curious about what's coming next.
Education
Bachelor of Business Administration — Information Technology
Pittsburg State University
Class of 2022
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