If your teams cannot agree on the numbers, nothing else matters.
When data pipelines are fragile, untested, and undocumented, every downstream consumer inherits the fragility.
Your analysts spend 80 percent of their time cleaning data
That is an engineering problem, not a people problem. Manual CSV exports, VLOOKUP chains, and copy-paste pipelines do not scale. They break.
Finance and marketing disagree on revenue
The CEO does not know who to believe. Untested data models produce contradictory truths. The problem is never the dashboard, it is always the model.
GA4 exports a new field and your pipeline fails silently
Last week's dashboard shows stale data. Nobody notices until the Friday report. Without data contracts and tests, fragility is guaranteed.
Architecture refined across enterprise and luxury e-commerce
Starter kit deploys in 3 to 5 days. Full custom modeling for complex businesses: 2 to 4 weeks.
Data pipeline architecture
Four layers from raw data to trusted metrics. Version-controlled, tested, documented.
BigQuery optimization
Optimized for the queries your team actually runs. Fast dashboards, controlled costs.
Automated data quality
dbt tests, source freshness checks, anomaly alerting. Broken pipelines caught before they reach a dashboard.
Unified business metrics
One definition of revenue. One definition of a customer. Teams query trusted metrics, not raw tables.
BigQuery designed for your access patterns.
We set up your BigQuery project with partitioning, clustering, cost controls, and IAM governance, architected for the queries your team actually runs.
What you get:
- BigQuery project with cost controls and budget alerts
- Partitioning and clustering by access pattern
- Sub-second dashboard performance
- IAM governance with least-privilege access per role
- Fivetran, Supermetrics, Adverity for source ingestion
Data pipeline architecture from raw data to trusted marts.
Raw-Staging-Intermediate-Mart layers. Incremental models that process only new data, not the full history. Reusable logic patterns. Automated quality checks on every change.
What you get:
- Data Pipeline: Raw to Staging to Intermediate to Marts
- Incremental models that process only new data, not the full history
- Reusable logic patterns for consistent metric definitions
- Automated quality checks and code review on every model change
- Dimensional modeling for regulatory and compliance reporting
One definition of revenue. One definition of a customer.
Trusted business metrics defined once and used everywhere. No more spreadsheet wars between teams. Compatible with Omni, Looker, and dbt Semantic Layer.
What you get:
- Unified metrics built on tested data models
- Centralized KPI definitions with lineage
- Self-serve analytics for every stakeholder
- Version-controlled metric logic
Automated testing that catches problems before they reach any report.
dbt tests, source freshness, anomaly detection, and data contracts. Your warehouse stays trustworthy at scale.
What you get:
- Automated dbt tests on every model
- Source freshness monitoring
- Anomaly detection pipelines
- Data contracts between teams
- Technical debt reduction and pipeline optimization
From raw data to trusted source of truth.
Warehouse assessment
Audit current BigQuery setup, query patterns, and cost leaks. Quantify where fragility lives.
Pipeline design
Raw, Staging, Intermediate, Marts architecture mapped to your business logic and access needs.
Modeling and testing
Incremental dbt models built, tested with CI/CD, and documented with full lineage.
Semantic layer deployment
Trusted KPIs defined once. Self-serve analytics enabled for every team.
Handover and governance
Team training, monitoring setup, and runbooks. Your team owns and evolves the warehouse autonomously.

“One source of truth for revenue, customers, and performance. Warehouse costs cut through incremental processing. Teams query trusted metrics, not raw exports.”

Tested, documented, production-ready infrastructure
Concrete deliverables your team can actually use. No slide decks, only tested artifacts.
BigQuery Warehouse
Fully optimized project with partitioning, clustering, cost controls, and IAM governance.
dbt Project
Complete data pipeline architecture with incremental models, tests, and CI/CD pipeline.
Semantic Layer
Centralized, version-controlled KPI definitions used by every dashboard and report.
Data Quality Framework
Automated testing, anomaly alerting, and source freshness monitoring built in.
Documentation and Lineage
Full dbt docs with lineage graphs. Every metric traceable to its source.
Team Runbook
Training materials and governance guide so your team owns the warehouse from day one.
9 dbt playbooks. Same architecture used at Ubisoft and Sezane.
Every model follows documented patterns refined across real enterprise deployments. No guesswork.
Is this the right engagement for you?
Best fit
- Companies with growing data volumes and multiple stakeholders
- Teams tired of manual spreadsheet pipelines
- Organizations that need trusted KPIs across marketing, finance, and product
- Brands preparing for self-serve analytics at scale
- Organizations with regulatory or compliance reporting requirements (finance, banking)
- Teams needing to partner data with non-technical stakeholders
Not ideal for
- Teams without any data warehouse yet
- Companies with very low data volume
Common questions
Do you replace our existing warehouse or build on top?
We audit first. If the foundation is salvageable, we harden and extend it. If not, we rebuild cleanly and migrate data safely.
How long does a full analytics engineering engagement take?
Starter data pipeline kit deploys in 3 to 5 days. Full custom modeling for complex businesses takes 2 to 4 weeks.
Can we maintain the dbt project after handover?
Yes. You receive a complete git repo, CI/CD setup, and detailed runbooks. Our Intelligence retainer is available for ongoing support.
Certified Analytics Engineer
DataBird 2025
GA4 Certified
GTM Server-Side Specialist
BigQuery Certified
Google Cloud
Enterprise Track Record
Carrefour. Airbus. Club Med. Ubisoft
Luxury and Premium Clients
Sezane. ByRedo. Valrhona
50 plus Client Engagements
Artefact. Sleekery. MadMetrics
Your warehouse is full of potential. Is it delivering trust?
Book a diagnostic. We run a quick audit and show you exactly where fragility lives and how fast we can fix it.