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Colombia
1 year of experience
Electronic Engineer with experience in data analytics, digital process automation, and business intelligence solutions. Skilled in developing ETL pipelines, data visualization dashboards, and automated workflows using Python, SQL, Power BI, and Microsoft Power Platform. Experience integrating data-driven solutions with cloud platforms and enterprise systems to optimize operational processes, reduce manual work, and support strategic decision-making. Interested in roles focused on data analytics, automation, and cloud data solutions.

Most agent teams let the author check their own work. We banned it. Our dark factory is three seats in one Band room: a lead that coordinates, an implementer that writes every line, and a reviewer that is the only seat allowed to test. The implementer builds from the spec and never runs a single check, so every defect has to survive an independent reviewer who measures it, reproduces it and rejects it in the open. We pointed it at Pocketful, a wallet and payments service. After two dispatches and nothing else from a human, it delivered all four stages, each in its own buildable folder, passing the shipped checks in isolated mode. Six rejections changed the code. The best one: every shipped check was green when the reviewer's own tests showed that a new sign-up overwrote a seeded user and the wallets stopped adding up. No shipped check would have found it. Every rule in the factory comes from a recorded run: 18 of them, one shared monitor, append-only raw data. The whole four-stage run cost about 4.5 USD at list prices. What failed is documented too. The mandates are generic, so another team can aim the same factory at a different problem using FACTORY.md and the mandates folder.
6 Oct 2026