jeremy gillespie
Available for projects

Professional Data & Systems Engineer

I build the pipelines, tooling, and infrastructure your project needs — end to end.

Python data engineering, full-stack web apps, and self-hosted infrastructure. One person who takes a project from an idea to a running, deployed, secured service — without handing off at every layer.

Email me about your project
01  /  About

I build and ship complete systems — ETL pipelines and internal tooling in Python on AWS, full-stack apps in Django and PostgreSQL, and the containerized infrastructure to deploy and run them.

I work across the whole stack, so I can take a project from data ingestion through to a running, deployed service. And I run production infrastructure myself — which means I understand what it takes to keep something live, not just build it once.

02  /  What I can help with
  • 01
    Building or fixing ETL & data pipelines
    Python · AWS S3 · Lambda
  • 02
    Internal tools & automation
    The unglamorous systems that save real hours
  • 03
    Full-stack web apps
    Django · PostgreSQL · deployed and operated
  • 04
    Containerizing & deploying existing apps
    Docker · reproducible, shippable environments
  • 05
    Self-hosted & on-prem AI integrations
    Local LLMs · quantization · function calling
  • 06
    Infrastructure setup
    Networking · reverse proxies · TLS · hardening
03  /  Selected work
★ Featured · Most recent github ↗
Technomancer

An autonomous AI dev team that ships production code end to end — from ranked tickets through tested feature branches into main and onto the live site, with no human writing the code. Local-first on Ollama, Claude escalation, and a five-level validation pipeline guarding every merge.

6,200
automated tests
83.9%
code coverage
43.2k
lines of code
4
AI agents

40acres

A Django / PostgreSQL web application I designed, built, and self-host in Docker. A full-stack app I deliver and operate independently.

Production self-hosting stack

Multiple live sites behind a hardened firewall, reverse proxy, and TLS — on infrastructure I built and maintain.

ETL & data tooling

Production pipelines in Python on S3 and Lambda — ingestion, transformation, and the internal tooling around them.

Local AI deployment

Deploying and optimizing LLMs on local hardware — quantization and function-calling integrations for private, on-prem AI.

04  /  How I work

I communicate clearly, scope honestly, and deliver working software. I operate what I build — so reliability isn't an afterthought, it's the product.