Jeffandy St.Hubert

Data Engineer specializing in dimensional modeling and scalable ELT pipelines with production experience across nonprofit, energy, and semiconductor sectors. MIT-certified in Data Science & Machine Learning. Built data architectures that drove a 1,200% revenue increase and automated manual processes saving 2+ hours weekly. Background in elite performance environments (Global Tours with Ms. Lauryn Hill & Kanye West) translates to discipline in building resilient systems under pressure.

Languages

SQL

Python

Bash

Databases & Warehouses

PostgreSQL

Snowflake

Supabase

Cloud & Infrastructure

Docker

GitHub Actions

Linux

Data Orchestration

dbt

Airbyte

API Integration

Tools

Git

Streamlit

Flask

Looker Studio

Tableau

Featured Data Projects

Production-grade data engineering and analytics solutions

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End-to-End Productivity Analytics Platform

Architected a production-grade ELT pipeline extracting time-series data from iPhone app APIs, processing 1,000+ daily activity records with automated error handling and logging.
Designed a normalized PostgreSQL schema in Supabase, implementing strategic indexing to optimize query performance for real-time analytics.
Automated the full lifecycle via CI/CD workflows, connecting GitHub repositories to Streamlit Cloud for seamless, version-controlled deployments.
Engineered an interactive dashboard that reduced manual data synthesis time by 90%, providing instant visibility into high-level productivity trends.

Professional Experience

Data engineering roles across energy and semiconductor sectors

Data Engineer

Sun Coast Resources, LLC | 2024 - 2025

Architected a lead-generation engine aggregating data from Google Search and U.S. EPA databases, directly resulting in 15 new clients and a 1,200% revenue increase in the Georgia market within two quarters.
Engineered a robust ETL workflow extracting 10,000+ records via APIs, utilizing Python (pandas) and PostgreSQL to transform raw data into actionable facility insights.
Optimized data extraction reliability by implementing pagination and batch processing to operate efficiently within strict API rate limits.

Software Engineer Co-op

Advanced Micro Devices (AMD) | 2012 - 2013

Increased test automation efficiency for major processor launches (FX-6100/8150) using Python, Perl, and shell scripting.
Streamlined validation infrastructure within an Agile environment, collaborating cross-functionally to reduce test cycle times.

Education

Academic credentials and professional certifications

Massachusetts Institute of Technology (MIT)

Certificate in Data Science & Machine Learning | 2024

Wentworth Institute of Technology

B.S. in Electronic Engineering Technology | 2013