Vectorton designs and builds the pipelines, platforms, and models that move data out of the systems that create it and into the hands of the people and applications that act on it: accurate, governed, and on time.
Data sits in ERPs, CRMs, SaaS tools, spreadsheets, and legacy databases, each with its own definitions and quirks. Reports disagree, pipelines break silently, and analysts spend more time reconciling numbers than answering questions.
Adding another dashboard or tool rarely fixes this. What fixes it is engineering: reliable ingestion, clear models, tested transformations, and ownership of every dataset that matters. That is the work we do.
Batch and streaming ingestion from operational systems, SaaS applications, files, and events, with validation, retries, and alerting built in.
We design storage and modelling layers around how your business actually reports, plans, and decides, not around a vendor's reference diagram.
When data has to reach an application, a model, or a customer in real time, we build the streaming and serving layers to get it there fast and consistently.
Ownership, access control, lineage, and definitions that are part of the platform rather than a document nobody reads.
We move reporting and pipelines off aging databases and ETL tools incrementally, running old and new side by side until the numbers match.
We begin with the questions the business needs answered and work backwards to the data required, not the other way round.
Transformations live in version control, run through automated tests, and are deployed the same way application code is.
Every pipeline reports freshness, volume, and failures, so problems surface before someone opens a wrong report.
We document models, pipelines, and decisions so your team can run and extend the platform without us.
Machine learning is only as good as the data behind it. Reliable pipelines come first.
Integration moves data between systems; data engineering shapes it for analysis and decisions.
SAP, Salesforce, AWS, and Azure hold much of the data that matters. We know how to get it out cleanly.
We work across the major cloud data platforms and open-source tooling, and recommend what fits your existing stack, team, and budget rather than a fixed toolset.