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Hgaines88/README.md

I'm Hakeem Gaines—digitally known as (h)gaines.

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.

Featured work

New York Digital City planning dashboard

A team data-engineering capstone built with PySpark, PostgreSQL, and Streamlit. I owned the fiscal-impact workstream end to end: building its ingestion pipeline, validating records before database loading, and developing the scenario model and dashboard page.

PySpark PostgreSQL Data Validation Streamlit

MediciMess banking intelligence dashboard showing cash-flow trends, monthly inflows and outflows, and financial records

A collaborative historical banking intelligence platform with ETL pipelines, a read-only FastAPI layer, branch-level financial KPIs, loan and cash-flow analysis, anomaly detection, and an interactive Dash interface.

ETL FastAPI Financial Analytics Dash

Trainspotting fashion archive showing its transit-inspired masthead, discovery navigation, and designer index

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

More projects

  • 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.

Tools I use

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 · hakeemjgaines@gmail.com

Pinned Loading

  1. future-proof-HG future-proof-HG Public

    Forked from ZCW-Spring26/future-proof

    Zero-dependency Python CLI for durable Markdown notes with YAML metadata, search, tags, and pytest coverage.

    Shell 1

  2. MuseumsNotebook MuseumsNotebook Public

    Forked from ZCW-Spring26/MuseumsNotebook

    Jupyter and pandas analysis of U.S. museums, zoos, aquariums, revenue, and geographic data.

    Jupyter Notebook

  3. SecondSeven SecondSeven Public

    Forked from ZCW-Spring26/SecondSeven

    Python and Java programming portfolio featuring tested command-line applications, games, banking tools, and object-oriented exercises.

    Python

  4. MediciMessCharlie/MediciMess_Charlie MediciMessCharlie/MediciMess_Charlie Public

    Forked from ZCW-Spring26/MediciMess

    Team-built data engineering platform for historical banking analytics, featuring ETL pipelines, financial KPIs, anomaly detection, FastAPI, and Dash.

    Jupyter Notebook 1 1

  5. Trainspotting Trainspotting Public

    Zip Code Wilmington Data 7.2 Data Cohort: Passion Project (Collection Archive v2)

    Python 1

  6. SparkCitySTEAMConvention/SparkCity_Capstone SparkCitySTEAMConvention/SparkCity_Capstone Public

    Forked from ZCW-Spring26/SparkCity

    Data engineering capstone: PySpark ingestion and validation, safe PostgreSQL loading, and a Streamlit dashboard for city data and STEAM convention planning. Planning analytics, not live operations.

    Jupyter Notebook 2 4