How we got here.
From a Tableau consulting shop in 2015 to a full-stack data consultancy today. The pivots, the wins, and the lessons along the way.
- 2015
Founded as a Tableau consultancy
Tyler Garrett spun up dev3lop after years of leading Tableau engagements at Fortune 500 companies. The original scope: hands-on dashboard work, server administration, and training.
- 2016
First enterprise engagements
Onsite work at Kroger, GoPro, and Nielsen. Architecting HA Tableau Server clusters, building pricing dashboards, and training teams of 20+ analysts. This is where we learned that dashboards are always downstream of a data problem.
- 2017
Expanded into data engineering
The recurring pattern: fix the warehouse, fix the dashboards. We added pipeline, modeling, and ETL work to the menu. dbt adoption starts here.
- 2019
Cloud-first engagements
AWS, Azure, and GCP migrations become the default. Redshift → Snowflake, SQL Server → BigQuery. We ship infrastructure-as-code from day one.
- 2020
Remote-first by force, then by choice
Pandemic kicked us fully remote. We kept it. Austin HQ stays for collab days and client onsites; day-to-day work is async, documented, and globally timezone-aware.
- 2022
Custom software practice
Clients kept asking for thin apps wrapping their data — internal tools, admin panels, data products. We formalized a full-stack practice (React, Node, TypeScript) that ships alongside the pipeline.
- 2024
Launched ET1, Canopys, and Trilex
Productized tools we were building over and over. ET1 for visual ETL, Canopys for task scheduling, Trilex for AI agents on customer data. Consulting scales; products compound.
- 2026
AI-native engagements
Production LLM agents on client data. RAG over warehouses. Ollama for privacy-sensitive workloads. Every data project now has an AI surface area, and we build it in.
Want to be in the next chapter?
We're always scoping the next interesting engagement.