Reliable ingest
Scheduled pulls from files, APIs, and databases with retries and clear failure alerts.
Platform services
Data Engineering Services
Pipelines, warehouses, and checks so reports stop depending on one person’s laptop.
4–8 weeks
Typical build
Azure
Cloud focus
Included
Monitoring
Yes
Docs & runbooks
What you get
What this engagement covers
Pipelines and checks so reports stop depending on one person’s laptop.
Transformations you can audit
Documented rules in SQL or Spark — not a mystery notebook on someone’s desktop.
Warehouse design
Tables shaped for the reports you already run, not a theoretical enterprise model.
Quality checks
Row counts, freshness, and key uniqueness so a broken load is visible before the meeting.
Access and environments
Dev and prod separated enough that an experiment cannot wipe the board pack.
Runbooks
What to do at 8am when a source is late — written for the person on call, not the original author.
Why this engagement
When the report should not live on a laptop
You host. We build the smallest reliable path and a runbook for the person on call.
7am dashboards that are a prayer
If a source fails, you know before sales does.
Mystery notebooks
Documented transforms in SQL or Spark your team can audit.
One working pipeline, then a second source
We keep the first build small so the next source is an add, not a rewrite.
Dev and prod mixed
Separated enough that an experiment cannot wipe the board pack.
Support cannot restart a job
Runbooks written for the person on call, not the original author.
Excel still in the loop
Many teams keep Excel on a clean warehouse. We do not force a stack for its own sake.
How we work
How a data engineering project runs
Azure is our default. If you are on another cloud, we will say whether we are the right fit.
Discover
A short call to map the outcome, data sources, constraints, and who will own the work after handover.
Propose
You receive a written plan, timeline, and price before any build starts — no open-ended retainers by default.
Build
Focused sprints with working files you can review. You see progress weekly, not a big reveal at the end.
Test
We check real scenarios, edge cases, and handoff steps with your team before anything goes live.
Handover
Documentation, a walkthrough, and access your staff can keep. You own the files.
Support
A defined window for fixes as your data, team, or reporting needs change.
Client stories
What clients say
The 7am dashboard is no longer a prayer. If a source fails, we know before sales does.
They kept the first pipeline small. We added a second source without a rewrite.
Runbooks meant our support team could restart a job. That was the handover we needed.
Help centre
Frequently Asked Questions
Do you only work on Azure?
Azure Data Factory and related services are our default. If you are on another cloud, we will say whether we are the right fit.
Can you fix an existing pipeline?
Yes. We start with monitoring and failure modes, then change the smallest part that restores trust.
Will you move us off Excel entirely?
Only if that is the outcome. Many teams keep Excel on a clean warehouse. We do not force a stack for its own sake.
Who hosts the infrastructure?
You do, in your subscription. We build, document, and hand over access.
Tired of reports that live on one laptop?
Describe the sources and the report that breaks when someone is on leave. We will propose a first pipeline.
Contact us