Collect your source data
Use APIs, events, Lambda and S3 to collect data while preserving source details and checkpoints for recovery.
Cloud data platforms
AWS & Snowflake Data Platforms
Bring scattered business data into a foundation your team owns. We help you choose the platform, models and operating approach that fit your technology, people and budget.
What we build
From source data to reporting your team can explain
The exact design depends on source-system permissions, data volume, freshness, existing controls and the people who will operate it.
Organise and protect it
Make data easy to find, control who can access it, track where it came from and agree how long it should be kept.
Store and process
Choose Redshift, Snowflake or Athena based on your workloads, concurrent users and running costs.
Transform and test
Organise dbt sources and models into clear stages, with tests, documentation and an owner for each part.
Use consistent business definitions
Build reusable finance, operations and management models so reports use the same definitions and calculations.
Monitor and improve
Track data freshness, failed runs, query performance and cost, giving your team the information to keep improving the platform.
Your environment
Built where your team will run it
Data-platform work is delivered into your cloud and warehouse environment rather than hosted as a Source Connectors managed integration.
We agree the code, infrastructure, documentation and training your team needs, then hand over the platform or continue supporting it under a separate agreement.
Reference flow
Follow your data from source to destination
See how data is extracted, checked and delivered, with monitoring and recovery at each stage.
01Source systemsApplications, APIs, events and files
02Ingest and checkInside your cloud environment
03Your data platformS3, Redshift or Snowflake
04Your reportingModels, analytics and operations
- Monitor
- Reconcile
- Recover
- Document
Business outcomes
What should become easier
- Create reporting figures that can be traced to controlled source data.
- Deliver new metrics through reusable models rather than repeated report logic.
- Use tests, lineage and visible freshness to identify operational issues earlier.
- Give your team the evidence and ownership needed to manage warehouse cost.
Operate with confidence
Plan around your systems and team
Permissions, data volumes, reporting needs and support responsibilities all shape the design.
AWS or Snowflake?
We compare the options against your existing cloud setup, workloads, team skills, access requirements and budget.
Look at the whole data journey
Reliable reporting depends on how data is collected, stored, transformed and checked, as well as the warehouse itself.
Keep running costs visible
Give someone clear responsibility for reviewing usage, acting on cost alerts and adjusting workloads when needed.
Related reading
Let’s talk
Let’s plan a data platform that fits your team
Share the systems involved, where the data needs to land and what is getting in the way. We’ll help you work out the next step.