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Data & Big Data
We build batch and streaming data pipelines that keep your warehouse, dashboards and models fed with data people can trust - tested, observable and documented.
When it fits
You need this when numbers disagree between teams, reports break whenever a source changes, data arrives too late to act on, or analysts spend their time fixing pipelines instead of answering questions. Good pipelines make data boring - in the best way.
Apps, databases, event streams, files and SaaS tools brought in reliably.
Scheduled loads where hours are fine, streams where seconds matter.
Clean, documented tables shaped for the questions your teams ask.
Tests on freshness, volume and values that stop bad data before it spreads.
Dependencies, retries and safe reprocessing of history when logic changes.
Where every table comes from and who owns it, kept up to date.
How we build it
Sources, current pipelines, failure points and the questions data must answer.
Batch and streaming paths, storage and orchestration chosen to fit.
Pipelines ship with quality checks, monitoring and documentation.
Runbooks, alerts and training so your team owns it confidently.
Tools we use
FAQ
Most companies need both: batch for reporting and history, streaming where decisions or features depend on fresh data. We design each path for its job instead of forcing one.
Yes. We often keep the warehouse and BI tools you've invested in and make the pipelines feeding them reliable.
Automated checks on freshness, volume and values run in every pipeline, and failures alert the owner before anyone sees a wrong dashboard.
Let’s talk
Tell us what you're building. We'll come back with a clear plan, the right team and an honest timeline.