// Data Engineer · GIS Programmer · AI-Assisted Developer · Texas A&M University
Building production-grade data pipelines and spatial analytics systems that drive real decisions
Data Engineer and GIS Programmer with a background spanning Python automation, ETL/ELT pipeline development, SQL databases, geospatial analysis, full-stack dashboard delivery, and LLM-assisted software development. Track record of leading cross-functional teams, coordinating complex stakeholder projects, and delivering production tools across engineering, federal research, and infrastructure domains — including independently built AI-assisted data pipelines and NLP analytics systems.
// Core Technology Stack
// Capabilities
// Work History
// Portfolio
End-to-end social data pipeline built on the X API v2 that ingests tweets by keyword, runs NLP sentiment scoring, stores results in a SQLite database, and surfaces insights through an interactive Streamlit dashboard with rolling averages, volatility tiers, and timestamped CSV export.
Geospatial routing and infrastructure analysis platform for oil field operations. Built with JavaScript and the ESRI JavaScript API, featuring interactive map layers, asset location tracking, spatial queries, and route optimization displayed in a full-stack web application.
Custom ArcPy toolbox that extends ArcGIS Pro with an automated buffer analysis workflow. Accepts a CSV file and geodatabase as inputs and outputs buffered spatial geometries, eliminating manual GIS processing steps for recurring multi-layer analysis tasks.
Full-stack spatial web application built with JavaScript and the ESRI JavaScript API. Features interactive map layers, data-driven symbology, spatial queries, and a filtering interface designed to improve spatial data accessibility for non-technical field users.
Federal research platform contracted under the Department of Homeland Security Centers of Excellence CBTS program to assess COVID-19 impacts on international cross-border supply chains. Led aggregation and analysis of large international datasets, produced monthly analytical reports for federal clients, and developed a stakeholder connection web platform.
Collection of Python, shell, and AutoLISP scripts built to automate real production workflows including MDM deployment server provisioning, automated invoice generation, batch database cleanup, and AutoCAD drafting acceleration scripts actively used in engineering environments.
// Academic Background
Open to Data Engineering, Analytics Engineering, GIS Developer, and Spatial Data roles.
Available for full-time positions and contract engagements across Texas and remote.
Particularly interested in teams working at the intersection of data infrastructure
and geospatial or civil infrastructure analytics.