Data engineering for teams that need the data layer to just work
DEV3LOPCOM, LLC is a data engineering consultancy based in Austin, Texas. We build the layer between your operational systems and the people who need answers: ingestion pipelines, APIs and webhooks, warehouse models, automation, and the monitoring that keeps all of it honest. Everything is delivered by senior, 100% onshore engineers — no offshore handoff, no junior bench learning on your invoice.
The work spans the practical middle of the stack. Pulling data out of SaaS tools and internal databases. Modeling it so analysts stop writing the same joins five different ways. Automating the manual exports someone runs every Monday. Wiring event-driven flows so systems react in real time instead of overnight.
How an engagement runs
Every project follows the same arc: assess, design, build, hand off. The assessment maps your sources, pipelines, and reporting surfaces and identifies where things break or where humans are quietly doing a machine’s job. Design turns that into a target architecture with clear trade-offs — what to buy, what to build, what to delete. The build phase ships in small, reviewable increments with tests, alerting, and documentation as part of the definition of done. Handoff means your team can run and extend the system: runbooks, architecture notes, and working sessions, not a zip file and a goodbye.
For teams that need ongoing capacity rather than a project, we also embed engineers directly through staff augmentation, on full-time or part-time schedules.
Problems we get called in for
- Pipelines held together by cron jobs and tribal knowledge, where one departure would strand the company.
- Spreadsheet-driven processes that consume analyst days and still produce numbers nobody fully trusts.
- Source systems that can’t talk to each other, so teams re-key data between tools by hand.
- Dashboards that are slow or wrong because the modeling underneath them was never designed, only accumulated.
We have done this at serious scale. For ExxonMobil we built streaming data flows and occupancy dashboards covering more than 80 campuses — see the ExxonMobil case study. At Nielsen we engineered pipelines processing trillions of records (Nielsen writeup). At Lever we consolidated 282 SQL queries, 186 Tableau workbooks, and 11 Python apps into a maintainable system that saves about 22,000 hours a year (Lever engagement).
Why dev3lop
Our founder is a former Tableau Software Professional Services consultant, so the pipelines we build are designed with the end of the line in mind: a dashboard a decision-maker actually trusts. That perspective is why data engineering here connects cleanly to our advanced ETL consulting and data warehousing practices, and to Tableau consulting when the reporting layer needs the same rigor.
We stay small on purpose. You talk to the engineers doing the work, decisions are documented, and the system is built so your team owns it after we leave.
Talk through your data problem
Bring us the workflow that hurts — the failing pipeline, the manual process, the integration nobody wants to touch. We will scope an assessment and give you a straight answer on effort and approach. Contact us to get started.