I'm a data engineer in Wilmington, Delaware.
I build data pipelines and applications that turn complex datasets into reliable, useful systems. My work emphasizes clear data models, validation, tested APIs, thoughtful interfaces, and secure access control.
I recently completed an intensive 1,000+ hour Data Engineering & Analytics program at Zip Code Wilmington. Before transitioning into data engineering, I spent more than eight years coordinating technical projects and teaching IT and project-management fundamentals—experience that shapes how I communicate, document, and deliver software.
An end-to-end Databricks data platform that dynamically ingests BLS productivity files and Data USA population data, processes them through tested Bronze, Silver, and Gold pipelines, and publishes governed analytical results with observability, access controls, and SQL/PySpark parity validation.
Databricks PySpark Spark SQL Delta Lake Data Quality Observability
A structured fashion archive with Clerk-authenticated administration and a moderated source-review workflow. I migrated its database from SQLite to MySQL, added automated backend and frontend verification, and deployed the application on Railway.
FastAPI React MySQL Data Modeling Authentication
- MuseumsNotebook — Analysis of U.S. museum, zoo, aquarium, revenue, and geographic data with Jupyter and pandas.
- future-proof-HG — A zero-dependency Python CLI for searchable Markdown notes with YAML metadata and tags.
- Database-SQLite3 — An interactive Python and SQLite tutor covering SQL fundamentals, joins, and indexes.
- SecondSeven — Tested Python and Java applications exploring OOP, command-line interfaces, and software fundamentals.
Languages & Web: Python · SQL · JavaScript · HTML · CSS
Data: PySpark · pandas · Databricks · PostgreSQL · MySQL · SQLite · SQLAlchemy
Applications: FastAPI · React · Streamlit · Dash
Engineering: Docker · CI/CD · pytest · Playwright · Git · Railway
Analytics: Jupyter · Matplotlib · Seaborn · scikit-learn
I'm open to data engineering opportunities where I can contribute to reliable pipelines, analytics systems, and data-backed products while continuing to grow.
Connect: LinkedIn · [email protected]



