Data Engineer · Analytics Engineer · M.S. MIS Graduate (4.0 GPA)
I'm a data professional with hands-on experience building ETL pipelines, analyzing large-scale datasets, and developing AI-powered applications. I recently completed my Master of Management Information Systems (4.0 GPA) at Utah State University while working full-time as a Senior Technical Support Engineer at Entrata — where I troubleshoot and optimize data sync pipelines processing thousands of daily transactions across 6+ property management platforms.
I'm actively looking for Data Engineer, Analytics Engineer, and Data Analyst roles where I can keep building. Outside of work I'm usually skiing, paddleboarding, or finding somewhere new to explore.
⭐ Featured Projects
Extracted and analyzed 200,000+ property management sync failure records via API. Built a Python keyword-matching categorization system revealing that 80% of failures stemmed from just 5 root causes — shifting the engineering team from reactive firefighting to data-driven prioritization.
Full ETL pipeline ingesting NFL game data (2015–2023) and 200,000+ betting records into a normalized PostgreSQL database. Includes exception table pattern, 7 analytical SQL queries, and OLS regression predicting customer net value.
End-to-end AI-powered quiz app using the Claude API and Streamlit. Generates a validated 5-question multiple choice quiz on any topic, grades responses, and provides AI-generated explanations for missed answers.
📁 Coursework
Pipeline coursework covering CSV ingestion, exception/sin bin table patterns, data quality fixing, and multi-source SQL analysis.
ML coursework including KNN regression, linear regression, Ridge/LASSO/Elastic Net regularization, logistic regression, PCA, and random forest implementations.
Python projects including crypto arbitrage detection using graph theory, COVID-19 API data analysis, and energy efficiency analysis using the EIA API.