Pedro Lobo García has a solid background in Big Data engineering and analysis. Pedro started their career at everis in 2018, where they developed Big Data solutions using Spark, HIVE, Impala, and HDFS for the data lake of a major European bank. Pedro also received training in Big Data basics and SQL. In 2018, Pedro joined Minsait, where they continued to work with Big Data, focusing on transforming SQL queries and exploiting data for Banco Santander. Pedro worked with agile methodologies during their time at both everis and Minsait. Pedro's most recent role is as a Big Data engineer at OpenSistemas, where they are responsible for developing solutions and transforming corporate data for Orange, also utilizing agile methodologies.
Pedro Lobo García completed their undergraduate education from 2014 to 2018 at Universidad Carlos III de Madrid, where they pursued a degree in Statistics and Business. Pedro then continued their education at Universidad Nacional de Educación a Distancia - U.N.E.D. from 2019 to 2020, where they obtained a Master's degree in Big Data & Business Analytics.
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