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.
Problems we fix
What we do
Warehouse selection
A clear recommendation based on your data, tools and budget.
Schema design
Raw, staging and reporting layers with consistent naming.
Loading and migration
Move data from databases, files and apps without losing history.
Access control
Roles and permissions that match your teams.
Cost management
Partitioning, clustering and query habits that keep bills down.
BI connection
Connect Power BI, Tableau, Looker or QuickSight the right way.
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.
Recent work and client reviews
Client names are kept private.
Staffing and utilization analytics built on a cloud warehouse with a self-serve dashboard.
BigQueryLooker StudioETLThe 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.
Streamlined our reporting end to end, from pipeline to dashboard. Clarity, speed, and technical depth made the whole thing easy.
Fixed price or monthly
You get a written scope and price after a free consultation.
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.
Related services
Talk to us about data warehouse setup
A free consultation. You get a written scope and a fixed price before any work starts.