Full-stack developer · Argentina (UTC-3)
I build scrapers, data pipelines and the systems around them: job queues, retries, recovery after failures and monitoring. I work async, with clear written updates.
From the case study below. Report time measured on the first 20 reports.
01 / Case study
A web platform that produces due diligence reports on people and companies. It collects data from 38 source modules in parallel and assembles the results into one report. The client uses it in production, internally. I built the backend, the API and the web app on my own in about three months.
Redis queues are split by type of source, each with its own worker, so a heavy module doesn't hold up the light ones. A dispatcher shares capacity fairly between accounts.
About 1,700 automated tests, and CI runs on every pull request.
An API and a web app in React and TypeScript, used internally by the client in production.
Client and data sources anonymized.
02 / Personal projects
A debt management app. Log what you owe across credit cards, Mercado Pago and informal debts, then track purchases, installments, due dates and totals for each creditor.
An appointment-booking SaaS for any business that runs on appointments. Clients book on their own, each professional has their own agenda and services, and each business gets its own page.
03 / How I work
Tell me what data you need, where it comes from and how often. A few paragraphs is enough.
One clear deliverable, scope agreed in writing before I start, so you can judge the work before committing to more.
Each week you get a written update on what's done, and we agree on what comes next. If something looks wrong or missing in between, write to me and I'll deal with it.
Websites and data sources change, and scrapers break when they do. On a monthly retainer I keep the system running and fix what breaks, and you get a written report of the support each month.
04 / Contact
Send me a short description and I'll reply within one business day with questions or a pilot proposal.