José Montes

Chief Software Architect at CENTUM

Greater Vigo Metropolitan Area Spain
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Summary

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Rockstar
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José Montes is a Chief Software Architect with 17 years of hands-on experience designing and operating complex, mission-critical systems across embedded platforms, cloud infrastructure, and DevOps environments. He has led architecture and development for real-time geospatial and mission control systems (LifeSeeker) and supported the European Commission’s EESSI program delivering highly available cross-border social security infrastructure. Equally comfortable in Python, C/C++, and enterprise Java stacks, he blends deep systems administration and automation expertise (Terraform, Ansible, Docker, Azure) with a pragmatic engineering mindset. An active open-source contributor, he strengthened the SQLAlchemy backend for the lightweight Cubes OLAP project, improving multi-dimensional analytics reliability. Based in Vigo, Spain, José pairs broad technical depth with a track record of operationalizing resilient distributed systems for international clients.
code17 years of coding experience
job19 years of employment as a software developer
bookIngeniero Técnico en Informática de Sistemas, Ingeniero Técnico en Informática de Sistemas at Universidad Pontificia de Salamanca
languagesSpanish, English, Galician
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json
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spring-mvc
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Github Skills (26)

json10
python10
spring-mvc10
olap10
sqlalchemy10
sql10
http-request10
cube10
javascript9
exceptions9
twitter-bootstrap9
jakartaee9
java9
data-analysis9
jpa9

Programming languages (13)

C#C++MakefileVuePerlHTMLTypeScriptShell

Github contributions (5)

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DataBrewery/cubes

Mar 2013 - Jan 2019

[NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
Role in this project:
userBack-end Developer
Contributions:22 commits, 23 PRs, 23 pushes in 5 years 10 months
Contributions summary:José primarily focused on enhancing the SQL backend of the `cubes` framework, implementing and refining SQLAlchemy integration. Their contributions included adding support for SQLAlchemy configuration options, as well as addressing issues related to table aliases and aggregate labels. Furthermore, the user fixed a bug concerning the handling of a configuration parameter, ensuring the correct interpretation of numerical limits. Their work directly improved the functionality and usability of the OLAP framework for multi-dimensional data analysis.
multidimensional-dataolappythondatadata-warehouse
jjmontesl/cubesviewer-server

May 2016 - Apr 2017

CubesViewer server-side app and backend (optional)
Contributions:1 release, 17 commits, 1 PR in 11 months
backendserver-side
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