Build
Data platforms
Reliable pipelines, governed data models, and analytics foundations that make complex operations easier to understand.
Python · SQL · PySpark · AirflowHowdy — I’m Gus Phillips.
Data engineer specializing in scalable pipelines, finance automation, governed analytics, and production AI workflows.
What I do
I work where data engineering, automation, and business operations meet.
Build
Reliable pipelines, governed data models, and analytics foundations that make complex operations easier to understand.
Python · SQL · PySpark · AirflowAutomate
Practical agents and LLM-enabled tooling that remove repetitive work while keeping quality and governance in view.
AI agents · RAG · LLM toolingTranslate
A business analytics background that connects technical decisions to measurable savings, speed, and confidence.
Finance · Supply chain · OperationsProjects in progress
Two private experiments are taking shape alongside the data work. Read the verified state, the product idea, and what still needs to happen before anything ships.
Reel Recall
A mobile-first cast-learning game prototype with solo practice and future friend races.
Review project preview 02Pet Portrait
An iOS portrait workflow shaped by pet photos and a playful style-discovery deck.
Review project preview 03RetentionMail
A browser-only static demo of personalized retention cards and sample workflows.
Open static demoExperience
More than five years helping Fortune 500 teams move from manual processes to trusted, scalable systems.
Download full résumé2025 — Present
Meta · Contractor
Building finance automation and data pipelines across payroll, tax, accounts receivable, and compliance. Delivered $265K+ in annualized savings across six projects and built production AI agents for documentation and workflow standards.
2022 — 2025
Northrop Grumman
Engineered governed data flows for Finance, HR, Supply Chain, and Facilities analytics, including a migration of legacy workloads to Databricks for stronger scale, performance, and maintainability.
2019 — 2022
Lockheed Martin · F-35 Operations
Built Python and SQL automation for logistics data, introduced validation and monitoring, and supported operational reporting for supply chain and readiness teams.
Education
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