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EstevezCodando/README.md

Jean Estevez

Software Engineer focused on backend systems, data pipelines and geospatial solutions.
EU citizen, based in Spain. Available for Backend, Data Engineering and GovTech roles.

I design and implement production-oriented software with emphasis on reliability, scalability and clear architecture.
My work combines backend development, data processing and spatial systems, with hands-on experience in real-world, non-academic projects.

Ingeniero de software especializado en backend, procesamiento de datos y sistemas geoespaciales.
Trabajo en soluciones orientadas a producción, con foco en arquitectura, automatización y calidad técnica.


Technical Profile

Programming Languages
Java, Python, SQL

Backend & APIs
Spring Boot, REST APIs, OpenAPI/Swagger, input validation, structured logging

Data & Databases
PostgreSQL, PostGIS, relational modeling, ETL pipelines, query optimization

Geospatial Systems
QGIS, QGIS plugin development, spatial rules, topological validation

DevOps & Environment
Docker, Docker Compose, Git, GitHub Actions, Linux


Selected Professional Projects

Spatial Rules Validator (QGIS + PostgreSQL/PostGIS)

QGIS plugin that executes spatial and semantic validation rules directly in PostgreSQL/PostGIS and consolidates detected inconsistencies into dedicated GIS layers for visual inspection and correction.
Core focus: database-driven validation, scalability and reduction of manual GIS workflows.

Technologies: Python, QGIS API, PostgreSQL, PostGIS, PL/pgSQL

Participa Ouvidoria DF

Civic-tech platform for public issue reporting and citizen participation, integrating geolocation, backend APIs and structured data persistence.
Designed with a focus on data integrity, spatial context and extensible backend architecture.

Technologies: Backend APIs, PostgreSQL/PostGIS, frontend application, Docker

Skill Market Intel

Platform that analyzes job listings to extract and rank the most demanded technical skills for a given role.
Emphasis on data ingestion, normalization and analytical pipelines rather than visualization.

Technologies: data ingestion, processing pipelines, analytical modeling


Academic Work and Learning Repositories

This section groups university projects and learning-oriented repositories created during my academic and professional development.
They are kept for reference and transparency, but do not represent my current production standards or architectural practices.


Experimental and Future Projects

Repositories containing early-stage ideas, prototypes or technical explorations.
These projects focus on experimentation and problem exploration rather than finished, production-ready solutions.


Contact

LinkedIn: https://www.linkedin.com/in/alvarezj Email: estevezcodando@gmail.com

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