Full Stack Engineer / Data Engineer

Adeeb Doyle

I build pipelines. I build products. I make the data mean something.

About

Engineer by craft,
communicator at heart.

I'm a full-stack software engineer working across product development, cloud data engineering, and AI tooling. I build scalable backends and responsive UIs, data pipelines, and Snowflake native applications that put ML directly on enterprise data.

I don't stop at the code. Building something well means knowing who it's for, so I get in front of the people who'll actually use it — and I've found that translating technical work into terms clients care about is often what determines whether it gets used at all.

> name:        Adeeb Doyle
> role:        Full Stack / Data Engineer
> languages:   Python, SQL, TypeScript, JavaScript, Java
> experience:  4 yrs
> certified:   Snowflake, Salesforce
> education:   B.S. Computer Science
> status:      available_

Experience

The journey so far

2016 — 2018

Magna Legal Services

Transcript Processing Specialist

  • refactor: streamlined transcript processing workflows
  • chore: sustained 98% client satisfaction via system ownership

2022 — 2023

Pure Technology

Software Development Intern

  • perf: cut manual media review 90% with GCP + Gemini pipeline
  • fix: resolved 30+ defects across frontend and backend

2025

SkillStorm (Contracted to Deloitte)

Software Developer

  • feat: built reusable LWCs for VA claims processing system
  • refactor: hardened Salesforce Apex with security best practices
  • fix: surfaced critical defects via weekly quality audits

2023 — Now

Pure Technology

Software Engineer

  • feat: shipped full-stack marketplace from Figma to Flutter UI
  • feat: architected GCP ELT pipeline for social metrics
  • perf: cut validation errors 20% with typed REST APIs
  • feat: built LangChain agent to automate codebase docs

Skills

The tech stack

Drag nodes to rearrange · hover to trace connections

frontend
backend
data / ml
infrastructure

Projects

Selected work

Writing

The Lab

2026-07 · Systems

Production Systems Case Study: Tradeoffs, Reliability, and Testing

How I approach building maintainable systems: constraints, tradeoffs, observability, and what I’d improve next.

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2026-07 · Perspective

Understand the People and the Problem

Why the best software comes from understanding the people you're building for, the problem under their request, and the business constraints around it.

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2026-06 · Tutorial

Snowflake, Under the Hood: Cost, Queries, and What AI Changes

A practitioner's walkthrough of the mechanics that actually control Snowflake cost and performance: warehouse tuning, query pruning, the ACCOUNT_USAGE loop, and how the platform's new AI tooling changes who can do this work.

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Get in touch

Let's build something that matters.