Javier Cerdán is a Data Engineer based in Valencia with 12 years of experience and a strong mathematical foundation from Universitat de València. He combines formal training in mathematics and a Master's in Data Science with practical skills in Python, PHP, web scraping and Java/Angular development. Javier has contributed to academic and public-sector data projects, notably building an open data catalog and intelligent search tool for the University of Alicante. Now at VIEWNEXT, he focuses on turning complex datasets into production-ready pipelines and actionable insights. Known for bridging analytic rigor with hands-on engineering, he brings attention to data quality and reproducibility that stems from his mathematics background. Fluent in academic and applied settings, he thrives on projects that require both algorithmic thinking and pragmatic implementation.
12 years of coding experience
Grado, Mathematics, Grado, Mathematics at Universitat de València
Curso desarrollo Java y Angular, Curso desarrollo Java y Angular at Escuela de Organización Industrial
Máster en Ciencia de Datos, Máster en Ciencia de Datos at UA - Universidad de Alicante / Universitat d'Alacant
Airflow DAGs for exporting, loading, and parsing the Ethereum blockchain data. How to get any Ethereum smart contract into BigQuery https://towardsdatascience.com/how-to-get-any-ethereum-smart-contract-into-bigquery-in-8-mins-bab5db1fdeee
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