Hi, I'm Drew — A Data Engineer & Full Stack Developer.

I solve real-world problems by designing cloud-native data systems and modern web applications. Whether transforming messy data into meaningful insights or turning new ideas into production-ready products, I focus on practical, efficient solutions that create measurable impact.

Status

Available for projects

Freelance · Collaboration

Hire me About me

Experience

Senior Data Engineer

DSN Software

2026 – Present Tulsa, OK

Technologies & Tools

.NET

C# GitHub Actions

SQL Server

Python AWS

AWS Glue

Lambda

Athena

MariaDB

Claude

Spearheading a ground-up data migration from a competing healthcare platform, untangling significant structural differences between the source and target schemas to produce clean, validated output.
Built custom transformation logic to handle edge cases in the source data model that off-the-shelf tooling couldn't account for — no existing migration path covered the structural gaps.
Collaborating with a third-party vendor to design and build a centralized conversion platform on AWS, replacing fragmented one-off migration scripts with a repeatable, automated workflow.
Pipeline uses Lambda for data transformation, Glue crawlers for schema discovery and cataloging, Athena for ad hoc querying, and RDS as the persistent backing store — currently in active development.

Associate Back-End Developer

Limelight Marketing

2024 – 2026 Remote

Technologies & Tools

.NET

C#

TypeScript

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.

Junior Data Engineer

Flynn Group

2022 – 2024 Remote

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.

Pricing Analyst Intern

C.H. Robinson

Jun 2021 – Aug 2021 Kansas City, KS

Technologies & Tools

Power BI

SQL Server

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.