Esteban Gabancho is a DevOps Data Engineer with 13 years of experience spanning full-stack development, operations, and leading mid-sized projects. He specializes in Python but is proficient across languages, blending backend DevOps with a growing passion for UI, particularly JavaScript and Vue. At Fanalytical, he leads a reliable, cost-efficient data ingestion and feature extraction pipeline on AWS, utilizing Airflow, Spark, and Delta Lake, while delivering a Python-based web app with a Vue frontend. His CERN tenure as lead engineer on the CERN Document Server and as a Project Associate gave him hands-on experience with deployments, Puppet, and scalable operations. He has contributed to open-source projects like Invenio, notably the BibField module and MARC-related enhancements, demonstrating practical impact beyond corporate work. Based in Chapel Hill, NC, Esteban holds a Master's in Computer Engineering from Universidad de Oviedo and continues to drive scalable, reproducible data and software architectures.
13 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Universidad de Oviedo
Contributions:148 commits, 51 PRs, 1 push in 6 years 3 months
Contributions summary:Esteban contributed to the initial release of the `BibField` module, creating abstractions for fields, virtual fields, and MARC. They implemented ISBN/ISSN checks and made minor code improvements. The user further addressed Python-2.4 compliance issues, corrected lxml compatibility problems, and fixed bugs related to decorators like `@parse_first` and `@depends_on`. Additional contributions include the addition of a `@persistent_identifier` decorator and updates to the `recjson` format.
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