Jose Javier Contreras

Jose Javier Contreras has worked in a variety of roles in the technology sector since 2007. From 2007 to 2009, they worked as a Programmer at the Universidad Politécnica de Madrid, where they developed web applications using C#, ASP. In 2009, they joined e-intelligent as a Software Engineer, where they migrated a monolithic system to a microservices-based system and designed and implemented three of the microservices using Spring Framework, PostgreSQL, REST APIs and JMS. From 2016 to 2017, they worked as a Big Data Engineer at Synergic Partners, where they developed applications for batch data processing using Apache Spark with Python and Java, and designed data models using Apache Hive and NoSQL. From 2017 to 2021, they worked as a Big Data R&D Engineer at Treelogic, where they designed, researched and implemented a scalable solution for real-time packet tracking capable of processing more than 50,000 events per second using Apache Kafka and Storm. Currently, they are a Big Data Engineer at GEICO, where they are contributing to the migration of the Big Data platform to Microsoft Azure and developing a new pipeline for loading data from different sources into ADLS and Snowflake using Confluent Kafka Platform. In 2022, they are set to join Reveal Mobile as a Big Data Engineer, where they will design and implement pipelines for data ingestion and processing using Apache Spark, Scala and AWS.

Jose Javier Contreras completed a Telecommunications Engineering degree from the Universidad Politécnica de Madrid between 2002 and 2007. Jose Javier then went on to pursue a Master in Big Data and Data Science from the Universidad Autónoma de Madrid from 2016 to 2018, as well as an Expert in Big Data and Data Science from the same university from 2015 to 2016. In December of 2018, they obtained a Deep Learning Specialization from Coursera.