Data Engineering · Data engineering in Costa Rica
A single source of truth for your company. We integrate your systems, automate data loading and bring it to dashboards your team uses to decide.
When every system has its own version of the truth
Systems that don't talk to each other
CRM, ERP and spreadsheets with different data about the same customer or the same sale.
Reports built by hand
Someone exports, joins and cleans data every week, with errors nobody catches in time.
Reports that break as you grow
What worked with a thousand records stops working with a million.
Predictive models on dirty data
Money goes into prediction before there is a reliable foundation to support it.
What we build
Four layers that are usually combined. The scope is defined with you.
- 01
Architecture and storage
Data warehouse, data lake or data marts designed to grow with your operation.
- 02
Integration and transformation
Automated pipelines that extract, clean and load your data with no manual work.
- 03
Dashboards and analytics
Interactive dashboards in Power BI or Looker, refreshed automatically, with access based on each user's role.
- 04
Predictive models
When the case calls for it, demand, fraud or recommendation models in production.
More than 50 Google BigQuery pipelines in production, running every day.
Stack: Google BigQuery, Google Cloud, Python, Power BI and Looker.
Their reporting depended on spreadsheets with hundreds of formulas, and filters took up to 4 minutes. We replaced it with automated pipelines on Google BigQuery.
Frequently asked questions
How we quote
Every project is quoted to scope, after we understand it with your team. There is no list price and no packages.
Tell us what you want to build
In a 20-minute conversation with whoever owns the investment decision, we review the scope and explain how we would quote it.
Book a conversation