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consulting and career2025–2026

Marketing data engineering on Google's APIs

client
Diários Associados and consulting clients
role
solo to majority authorship
stack
  • Python
  • FastAPI
  • Celery
  • Playwright
  • PostgreSQL
  • Next.js
  • TypeScript
  • Fastify
  • Prisma
  • BullMQ

Context

GA4, Search Console, Ad Manager, Trends, PageSpeed/CrUX and Discover hold the answer to almost every business question a publisher has — and none of them answers it alone. The work is in cross-referencing them.

Intervention

A set of in-house tools built on these APIs, each one answering a specific question:

Tool Question it answers
seo-analizer Where the domain is losing visibility, and why
sentinel Are the feeds intact? Where is traffic leaking?
gam How much the network billed, by brand, by format
adstxt-hub Is each portal's ads.txt correct and up to date?
gerador-de-pautas Which story ideas have demand right now, based on Trends + GSC + GA4
uai-trends / cb-trends What is rising in the audience right now

The recurring stack is FastAPI + Celery + PostgreSQL on the data backend, Next.js for the dashboard, and an LLM where qualitative reading adds value — not where the number is enough.

Outcome

Proprietary tooling in production, with googleapis present in dozens of projects in the collection. It is the consultancy's niche differentiator: marketing data engineering, not agency reporting.

Role

Solo authorship for the most part; verified in autoria.tsv.

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