Data & Mechanical Engineer · Chicago, IL

ETL pipelines · SQL data modeling · GCP/BigQuery · Scientific Python

I build data infrastructure for complex engineering environments — pipelines, schemas, and analytics workflows that make large technical datasets usable. My background spans mechanical engineering and scientific computing.

Currently at KCI Engineering Consultants, building Python-based ETL post-processing pipelines for thermal-hydraulic simulation workflows. Previously at Argonne National Laboratory, I designed SQL database schemas for the engineering component inventory website.

Illinois Weather Trends Queried and analyzed large-scale NOAA climate datasets using Google BigQuery on GCP. Built Python pipelines for multi-decade trend analysis and visualization. PythonGCPBigQueryPandasMatplotlib

MIMIC Clinical Data Pipeline End-to-end data engineering pipeline on the MIMIC clinical dataset — ingestion, transformation, classification, and Power BI dashboards. PythonSQLPandasDuckDB

Chess Game Analytics Data pipeline using the Lichess public API to collect, transform, and store game records. Visualizes performance trends and patterns over time. PythonSQLREST API

Lorenz Attractor Simulation Chaotic dynamical system simulation using Runge-Kutta numerical integration methods. PythonFortranSciPyNumPy

Languages Python · SQL · Fortran · Bash
Data Pandas · NumPy · SciPy · Matplotlib
Cloud GCP · BigQuery
Tools Git · GitHub · LaTeX
Domain Thermal-hydraulic systems · Structural simulation · Synchrotron beamlines

• ⚡ KCI Engineering Consultants — Mechanical Engineer, 2026–Present
• 🔬 Argonne National Laboratory — Mechanical Engineer (Contract), 2020–2023
• 🎓 B.S. Mechanical Engineering, University of Illinois at Urbana-Champaign