Jose L UI S Ramos Lopez Herrero

Jose L UI S Ramos Lopez Herrero

Data Engineer @ Ciklum

About Jose L UI S Ramos Lopez Herrero

Jose Luis Ramos Lopez Herrero is a Data Engineer with extensive experience in data analysis and development. He has worked for several companies, including Globant, Iberdrola, and PwC España, and holds multiple degrees in statistics and finance from various institutions.

Current Role at Ciklum

Jose Luis Ramos Lopez Herrero currently works as a Data Engineer at Ciklum, a position he has held since 2023. His role involves utilizing various technologies and methodologies to enhance data accessibility and usability. Ciklum operates in a hybrid work model, allowing for flexibility in his work environment.

Previous Experience at Globant

Before joining Ciklum, Jose worked at Globant as a Python Developer from 2021 to 2023. In this role, he focused on developing software solutions using Python, contributing to various projects that required robust data handling and processing capabilities.

Professional Background in Data Science

Jose has extensive experience in data science, having worked at PwC España as a Data Scientist and BackEnd web developer from 2018 to 2021. He also completed a data science internship at Ericsson from 2017 to 2018. His career began at CBRE España, where he worked in the Consultancy & Research – Capital Markets Department from 2005 to 2010.

Educational Qualifications

Jose holds a Master's degree in Advanced Analytics on Big Data from Universidad de Málaga, completed between 2016 and 2018. He also earned a PhD in Statistics from the same university, which he pursued from 2012 to 2018. Additionally, he has completed various finance-related studies, including a Bachelor's degree from CUNEF and an Advanced Programme in Financial Assessment from IEB.

Technical Expertise and Skills

Jose specializes in creating APIs to facilitate interaction with data pipelines and employs monitoring tools like DataDog to ensure data pipeline efficiency. He has expertise in designing and developing CI/CD pipelines for Hive, Airflow, Cloud, and Python-based projects. His technical skills include working with big data frameworks such as Apache Spark and Cloudera CDP Public Cloud.

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