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Services/Data Engineering
Data Engineering

One Source of Truth
Across Every Data Platform

Scattered data from GA4, CRM, ad platforms, and your ecommerce store means every team reports different numbers. We design ETL pipelines and data warehouses that unify your data so you can answer any question without exporting a single CSV.

Audit Your GA4 Data

What We Build

From a single GA4 BigQuery export to a multi-source marketing data warehouse - we scope the right architecture for your current needs and scale.

BigQuery Data Warehouse

Design and implement a BigQuery warehouse with GA4 data export, partitioned tables, and query-optimised schemas for reporting and ML workloads.

ETL Pipeline Development

Build automated pipelines that extract data from your analytics and ad platforms, transform it into a consistent schema, and load it into your warehouse on a schedule.

Cross-Platform Data Unification

Combine GA4, ad platform, CRM, and ecommerce data into a single source of truth so you can answer questions that span multiple systems.

CRM and Revenue Integration

Connect your CRM (HubSpot, Salesforce) to your analytics warehouse to attribute marketing touchpoints to closed deals and actual revenue - not just form fills.

The Problems Data Engineering Solves

Most marketing teams recognise these problems but do not realise they have a data architecture solution.

  • GA4 shows 300 conversions, Google Ads shows 210, and the CRM shows 180 - nobody agrees
  • You cannot answer "which channel drove the most revenue this quarter" without a spreadsheet
  • Reports take days to produce because data lives in different systems with incompatible schemas
  • Historical data disappears because GA4 only retains 14 months and ad platforms roll up after 90 days
  • Your data scientist cannot build models because the data is not in one place in a queryable format

Platforms and Tools We Work With

We connect your existing tools into a unified warehouse - no vendor lock-in required.

BigQuery
Snowflake
Redshift
Databricks
GA4 Export
Fivetran
dbt
Looker Studio

Frequently Asked Questions

What is a data warehouse and do I need one?

A data warehouse is a centralised repository that stores structured data from multiple sources - your analytics platform, CRM, ad platforms, and ecommerce store. If you are currently exporting CSVs to reconcile reports, or if you cannot answer questions that span multiple platforms, a data warehouse will solve that.

Do you work with BigQuery specifically?

BigQuery is our primary warehouse platform due to its native integration with GA4, Google Ads, and Google Cloud. We also work with Snowflake, Redshift, and Databricks depending on your existing infrastructure.

What data sources can you connect?

We connect GA4, Google Ads, Meta Ads, Shopify, WooCommerce, HubSpot, Salesforce, Klaviyo, and most platforms that expose an API or support data export. If it has an API, we can build a pipeline for it.

Ready to unify your data?

Let us audit your current data infrastructure and recommend the right architecture for your business.

See Dashboard Development