Javier Fernandez
Data Analytics Engineer
Prague, Czechia
Summary
👤
Senior🎓
Top SchoolJavier Fernandez is a Data Engineer based in Prague with a decade of experience building robust data pipelines and transformation systems that make analytics-ready data accessible across organizations. After transitioning from roles in finance and customer experience, he combined an Economics & Finance degree with a Data Science master’s to bridge domain knowledge and engineering practice. He spent recent years delivering data solutions at Deloitte before joining SAP, focusing on reliability and usability of data in enterprise contexts. Javier has hands-on experience with both machine learning projects and practical operational teams, giving him a pragmatic view of productionizing models and data products. Colleagues describe him as someone who favors durable, well-instrumented architectures over quick fixes, and who leverages his cross-functional background to align technical work with business impact.
10 years of coding experience
Master's degree, Data Science, Master's degree, Data Science at KSchoolBachelor's degree, Economics and Finance, Bachelor's degree, Economics and Finance at Universidad San Pablo-CEU
Github Skills (6)
planning9
power-systems8
evaluation8
java7
optimization7
network6
Programming languages (2)
Github contributions (5)
pedrolo22/Scrum
May 2016 - May 2016
Contributions:3 pushes, 1 branch in 24 days
lopezjavier/docker-react
Aug 2021 - Aug 2021
Contributions:2 PRs, 5 pushes, 2 branches in 1 day
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