Francisco Lozano is a Data Engineer based in Spain with 11 years of experience and over seven years leading data architecture and engineering efforts. He blends hands-on software engineering with data platform design, delivering scalable pipelines and reliable analytics infrastructure. Trained at Facultad de Informática (Universidad Complutense de Madrid) with strong academic performance, he pairs rigorous foundations with practical production experience. Known on GitHub as a software/data engineer, he favors pragmatic, maintainable solutions and cross-functional collaboration. Colleagues describe him as a technical leader who balances implementation detail with strategic system thinking.
11 years of coding experience
8.75, 8.75 at Facultad de Informática (Universidad Complutense de Madrid)
Backend, modern REST API for obtaining match and odds data crawled from multiple sites. Using FastAPI, MongoDB as database, Motor as async MongoDB client, Scrapy as crawler and Docker.
Contributions:16 commits, 1 PR, 71 pushes in 1 year 4 months
asyncbackendcrawlerdatabasedocker
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