data engineering
Pipelines
Data flows left to right. Each node below is a stage we design and build, with a note on what it means for you.
Sources
CRM, shop, spreadsheets, sensors, ad platforms. We list every one and who owns it.
Ingest
Scheduled or streaming loads. Each run is logged; failures alert a person, not a void.
Clean
Types fixed, duplicates removed, names agreed. Rules are written down, not hidden in code.
Model
Tables shaped around questions the business actually asks: customers, orders, stock.
Serve
Dashboards, exports, APIs. The same numbers everywhere, from one source.
What you get
- A diagram of your data flow, kept up to date
- Pipeline code in your repository
- Run logs and failure alerts
- A short runbook for your team
Typical tools
We pick tools to match what you already run — SQL databases, cloud warehouses, open-source orchestrators. No lock-in to a stack we sell.