I'm a data engineering student in Wilmington, Delaware, building practical software with Python, SQL, APIs, analytics, and modern web tools.
My current focus is turning complex datasets into reliable pipelines and useful applications. I care about clear data models, tested code, thoughtful interfaces, and secure access control.
- New York Digital City — A PySpark-based smart city IoT analytics application. It ingests traffic, air quality, weather, energy, and occupancy sensor data, runs data quality checks, and persists results to PostgreSQL via a Dockerized Spark cluster, with a Streamlit dashboard delivering real-time city operations insights.
- MediciMess — A team-built historical banking analytics platform with ETL pipelines, financial KPIs, anomaly detection, FastAPI, and Dash.
- future-proof-HG — A zero-dependency Python CLI for durable Markdown notes, YAML metadata, search, tags, and pytest coverage.
- MuseumsNotebook — Exploratory analysis of U.S. museum, zoo, aquarium, revenue, and geographic data using Jupyter and pandas.
- Database-SQLite3 — An interactive Python and SQLite tutor covering SQL fundamentals, joins, indexes, and a capstone.
- SecondSeven — A collection of tested Python and Java applications exploring OOP, command-line interfaces, and software fundamentals.
Python · SQL · SQLite · pandas · FastAPI · React · JavaScript · Docker · pytest · Git
Trainspotting — A new, security-focused evolution of my fashion archive, with authenticated administration and a moderated, source-driven contribution workflow.
I'm currently open to opportunities where I can contribute, keep learning, and grow as a data engineer.
Connect: LinkedIn · hakeemjgaines@gmail.com