Braden Mailloux

Data Engineer | Software Engineer | Applied Mathematics

Summary

Data Engineer with 9 years' experience designing, automating and scaling data pipelines across AWS, GCP, Azure and hybrid cloud environments.

Proven ability to transform legacy workflows into production ETL systems using Python, SQL, PySpark, CI/CD tooling and cloud-native infrastructure. Strong foundation in analytics, automation, distributed systems and machine learning support infrastructure.

Skills

Python SQL C++ C# Powershell Oracle PL/SQL PostgreSQL Microsoft TSQL SQLite AWS Azure GCP Spark SharePoint .NET WinAPI PowerBI Tableau

Education

B.S. Applied Mathematics

San Francisco State University — 2016

Experience

Research Data Specialist II

Department of General Services

May 2024 – Present

Sacramento, CA

  • Serve as senior technical advisor for data architecture, analytics, and statistical methodology.
  • Lead ETL governance, lineage tracking, and analytical infrastructure modernization.
  • Develop automation pipelines using C++, WinAPI, Python, SQLCMD, BCP and SQL Server.
  • Build NLP-driven classification systems supporting UNSPSC taxonomy standardization.

Operations Research Analyst II

Fortrea

Nov 2022 – May 2024

Los Angeles, CA

  • Owned ETL and analytics infrastructure for FDA-regulated environments.
  • Engineered multithreaded ingestion, validation and transformation systems.
  • Developed NLP tooling and analytics dashboards for regulatory insights.
  • Managed practitioner blacklist data quality workflows.

Data Science Consultant

Accenture

June 2019 – Oct 2022

Los Angeles, CA

  • Built large-scale ETL pipelines using PySpark and GCP services.
  • Automated schema detection and ingestion with AWS Glue and Athena.
  • Migrated petabyte-scale Oracle datasets to Parquet on AWS S3.
  • Developed serverless Python APIs supporting ML workflows.

Vendor

HRL Laboratories

May 2016 – Aug 2018

Malibu, CA

  • Developed signal fusion and time-series processing systems for avionics platforms.
  • Built neural network models for anomaly detection.
  • Created Django APIs for embedded firewall automation.
  • Implemented OpenCV biometric systems under NIST guidelines.