Data Engineering

Data & Reporting

One source of truth. Live. Automatic. No manual pulling.

We design and build data infrastructure that connects every platform you use into a single warehouse — then surface it in dashboards your whole team can actually use.

See our work

What we deliver

Specific outputs.
Not vague promises.

01

Data Warehouse

A centralised cloud data warehouse that ingests from all your platforms on a scheduled and event-driven basis. One place for everything.

02

Ingestion & Transformation Pipelines

Automated ingestion with a modelled transformation layer that cleans, normalises, and versions your data. Quality checks run on every load.

03

Live Dashboards

Live dashboards connected directly to your warehouse — not to platform-level exports. Refreshed automatically, accessible to anyone on the team without SQL.

04

Data Quality Monitoring

Automated checks and alerting for schema changes, missing data, and anomalies. You hear about problems before your stakeholders do.

05

Platform Integrations

Direct connectors for Google Analytics 4, Meta Ads, your CRM, CMS, and affiliate networks — all feeding the same warehouse.

06

Reporting Automation

Scheduled reports delivered to Slack, email, or a shared dashboard on your cadence. The Monday morning data pull disappears on week one.

How we approach it

The work, step by step.

01

Discovery & Schema Design

We map every data source you use, understand your reporting needs, and design the warehouse schema before writing a single line of code. You approve the architecture first.

Requirements mapping Schema design Architecture sign-off
02

Data Ingestion

We build ingestion pipelines from all your platforms into the warehouse — scheduled pulls, event-driven webhooks, and real-time streams where needed.

Scheduled pipelines Webhook connectors REST API integration
03

Transformation Layer

Raw ingested data is cleaned, normalised, and modelled into a consistent, query-ready schema with full version history and automated tests.

SQL modelling Automated data tests Version-controlled transforms
04

Dashboards & Visualisation

We build your reporting layer on top of the warehouse — not on top of platform exports — so all numbers agree and refresh automatically.

Live dashboard builds Automated refresh Role-based access
05

Monitoring & Alerting

Automated data quality checks run after every pipeline load. Failed jobs, schema drift, and anomalies trigger alerts before they affect any reports.

Schema drift detection Anomaly alerting Pipeline health checks

Get started

Ready to get started?

Book a free 20-minute discovery call. We’ll look at your current setup and tell you exactly what’s possible.

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No commitment · No sales pressure · Just clarity