Services › Data engineering

A data warehouse your dashboards can rely on

We set up BigQuery, Snowflake or PostgreSQL for analytics, design the schemas, load your data and keep costs and access under control.

BigQuerySnowflakePostgreSQLMySQLAmazon Redshiftdbt
Sound familiar?

Problems we fix

Reports query production databases directly
Data is spread across many tools and files
Warehouse bills keep growing
Nobody owns access and permissions
Tables are named differently by every team
You are not sure which warehouse to choose
Data warehouse setup

What we do

01

Warehouse selection

A clear recommendation based on your data, tools and budget.

02

Schema design

Raw, staging and reporting layers with consistent naming.

03

Loading and migration

Move data from databases, files and apps without losing history.

04

Access control

Roles and permissions that match your teams.

05

Cost management

Partitioning, clustering and query habits that keep bills down.

06

BI connection

Connect Power BI, Tableau, Looker or QuickSight the right way.

How we work

Four steps, no surprises

Discover

A free call to understand your goals, data and tools. You get a written scope and a fixed price.

Design

We agree on metrics and layouts with you before building, so there are no surprises.

Build

Regular updates and working previews, with revisions before sign-off.

Hand off

Documentation and a walkthrough so your team can own what we built.

Results

Recent work and client reviews

Client names are kept private.

Workforce scheduling

Staffing and utilization analytics built on a cloud warehouse with a self-serve dashboard.

BigQueryLooker StudioETL
★★★★★
The team built out a full flow for us from CSV files to Google Sheets to BigQuery to a Looker dashboard. Work was done efficiently and well. Project completed successfully, and we are satisfied with the results.
Dashboard development from CSV filesVerified client review · BigQuery · Looker
★★★★★
Streamlined our reporting end to end, from pipeline to dashboard. Clarity, speed, and technical depth made the whole thing easy.
End-to-end reportingVerified client review · ETL · Dashboards
FAQ

Data warehouse setup questions

Which warehouse should we use?

It depends on your cloud, data size and BI tool. BigQuery, Snowflake and PostgreSQL all work well; we recommend one with the reasons and costs.

Can you migrate us from one warehouse to another?

Yes. We move schemas and history, run both side by side and switch reports over when numbers match.

How do you control warehouse costs?

Partitioning and clustering, scheduled instead of ad hoc refreshes, and reviewing the most expensive queries.

Is PostgreSQL enough for analytics?

For many small and mid-size teams, yes. We will tell you when you have outgrown it.

How long does a warehouse setup take?

A first version with a few sources often takes 3 to 6 weeks. These are estimates.

Who owns the warehouse?

You do. It runs in your cloud account, and we hand over full access and documentation.

Talk to us about data warehouse setup

A free consultation. You get a written scope and a fixed price before any work starts.

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