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Meteorological Data System — INIFAP

Automated systems for collecting, validating, and managing meteorological data with a strong focus on quality and production QA.

JavaScript TypeScript MongoDB PostgreSQL QA Testing REST APIs

inifap-meteorologia.png

About the project

Cross-platform software development at INIFAP to automate the meteorological data lifecycle: capture, validation, storage, and querying.

The problem

Manual meteorological data management made timely validation and reliable agricultural analysis difficult.

The solution

I built automated modules with engineering best practices, production QA testing, and clear data structures for technical and decision-making teams.

Responsibilities

  • Designed and implemented data collection and validation workflows
  • Optimized performance and resolved production incidents
  • Documented and organized technical information for the team

Tech stack

JavaScript, TypeScript, MongoDB, PostgreSQL, and REST APIs, with a focus on Clean Code and QA Testing.