Data Engineering
Most small teams do not have a data problem. They have a data plumbing problem. Numbers live in five tools, none of them agree, and every report starts with an hour of copy and paste. We fix the plumbing so the numbers take care of themselves.
Green Lion Refinery builds pipelines, warehouses, and clean models. We consolidate scattered sources into one reliable foundation you can actually trust, then hand it back documented and running.
What we build
ETL and ELT pipelines
Automated flows that pull from your tools, apps, and spreadsheets on a schedule and land the data somewhere central. No more manual exports. When a source changes, the pipeline keeps up.
Warehouse setup and modeling
A single warehouse where all your data lives, structured into clean models that map to how your business actually works. Orders are orders, customers are customers, and the definitions hold across every report.
Data quality and validation
Checks that run with every load so bad data gets caught before it reaches a dashboard. If revenue looks wrong, you find out from a test, not from a client.
Dashboards and reporting
Reporting built on the modeled data, so a metric means the same thing everywhere. Nightly refreshes replace the morning spreadsheet ritual.
How the engagement works
We start small and prove value fast. A typical first phase is one pipeline and one clean model that answers a question you care about, shipped in weeks, not quarters. From there we expand only where it earns its keep.
- Audit your current sources and where the numbers break down
- Stand up the warehouse and the first pipeline end to end
- Model the core entities and add validation
- Wire up reporting and hand over documentation
Who this is for
Small businesses, solo operators, and startups that have outgrown spreadsheets but do not need, or want, a full data team. If you are spending real hours each week wrangling numbers by hand, that is the signal.
Common questions
How soon will I see something working?
The first pipeline and one clean model usually ship in a few weeks, not months. We scope the first phase around one real question so you see value early.
Do I have to choose specific tools or a warehouse?
No. We work with what you already pay for where it makes sense, and recommend a warehouse only when it earns the cost. The goal is one reliable foundation, not a bigger tool bill.
What happens after the build is done?
You get it documented and running, with validation that flags bad data before it reaches a dashboard. We can hand it over fully or stay on for changes, whichever you prefer.
Related services
Clean data is the foundation the rest of the work stands on. Most clients pair this with Workflow Automation to remove the manual steps around the data, and AI Implementation to put it to use.
Want to see if this fits? Tell us where your data lives today and what report you wish you could trust. We will tell you honestly whether a pipeline is worth it.