I turn data into decisions_

services.sql ▶ run

1-- what do I build?
2SELECT area, delivery, stack
3FROM   roberto.data
4WHERE  stack = 'modern'
5ORDER BY impact DESC;

✓ 3 rows · 0.014s

area	delivery	stack
Data Engineering	Pipelines and databases that never break	ETL · PostgreSQL · Prefect
Business Intelligence	Dashboards people actually use	Power BI · Looker · DAX
Analytics & Tracking	Evidence-based decisions	GA4 · GTM · CRO

// dashboard.tsx — demo panel

demo panel last 30 days ▾

Revenue 0 +12.4% ↑

Sessions 0 +8.1% ↑

Conversion 0 +0.6pp ↑

ROAS 0 +0.4 ↑

$ stack --list

languagesSQL · Python · DAX

dataPostgreSQL · BigQuery · Supabase · Prefect

biPower BI · Looker Studio · Tableau

trackingGA4 · Google Tag Manager

infraGit · Linux · Docker

$█

// method.md

Every business has a different data structure and rhythm. I start by understanding that before proposing a tool.

Automated pipelines, dashboards that refresh on their own, reports that arrive without asking.

III

I connect both worlds so decisions are made with evidence, not intuition.

$ contact --open