Isidro Iglesias Fernández
About Isidro Iglesias Fernández
Isidro Iglesias Fernández is a Cloud Engineer with extensive experience in both frontend and backend development. He has developed a SaaS data product for the energy sector and currently works on Real Estate data projects using various technologies.
Work at Keepler
Isidro Iglesias Fernández has been employed at Keepler Data Tech as a Cloud Engineer since 2019. In this role, he focuses on developing database views using SQL as part of a Real Estate data project. His work contributes to the company's efforts in leveraging cloud technologies to enhance data management and analytics.
Education and Expertise
Isidro studied at Universidad de Oviedo, where he achieved a Degree in IT Engineering from 2010 to 2014. He graduated with a score of 8.4. His educational background provides a strong foundation in technology, which he applies in his professional roles, particularly in cloud engineering and software development.
Background in Software Development
Isidro has extensive experience in software development, having worked in various capacities. He served as a Software Engineer at BBVA Next Technologies from 2015 to 2019, where he honed his skills in both frontend and backend development. His technical expertise includes using technologies such as ReactJS, GatsbyJS, NodeJS, and Docker.
Previous Work Experience
Before his role at Keepler, Isidro worked at Talento Corporativo - Vorago as a Full Stack Developer, specializing in Ruby on Rails for eight months in 2015. Additionally, he began his career as a Junior Developer at Indra, where he worked with C/C++ for five months in 2014. These positions contributed to his development as a versatile software engineer.
Project Involvement
Isidro participates in a Real Estate data project, where he is responsible for developing ETL processes and pipelines. He utilizes technologies such as Python, PySpark, Azure Functions, and Azure Data Factory to facilitate data integration and processing, showcasing his ability to work with various data technologies.