David Virgil Naranjo has a diverse range of work experience, spanning over 14 years. David currently works at Copper.co as a Software Engineering Team Lead since October 2022. Prior to that, they were a Senior Software Developer at the same company from June 2022 to May 2023.
Before joining Copper.co, David worked at Holland & Barrett as a Principal Data Engineer, responsible for creating a datalake and incorporating the DBT library into the workflow. David held this position from November 2021 to June 2022. Prior to that, they served as a Senior Data Engineer at the company from April 2020 to November 2021.
David's previous experience includes working at Expedia, Inc. as a Desarrollador de Big Data, where they worked on projects related to anomaly detection in affiliate transactions and data engineering. David was with the company from January 2017 to April 2020.
At Cognizant, David worked as a Senior Developer, focusing on stress tests over big data and utilizing technologies such as Spark, Scala, Akka, Slick, and Spray. David worked on this project from May 2016 to January 2017.
Prior to that, David held roles at Red Hat, OHIM, European Commission, Opodo, and Lumen Technologies, where they gained experience in various development and programming roles, utilizing technologies such as Hibernate, AJAX, Struts, JAVA, and SQL.
Overall, David Virgil Naranjo has a strong background in software engineering, data engineering, and development, with a proven track record of successfully delivering projects in various industries.
David Virgil Naranjo graduated with a BSc in Computer Engineering from Universidad Carlos III de Madrid from 2002 to 2008. David also holds various certifications, including Confluent Certified Developer for Apache Kafka from Confluent in 2020, AWS Certified Developer - Associate from Amazon Web Services (AWS) in 2019, and AWS Certified Solutions Architect - Associate from Amazon in 2018. Additionally, they have certifications from Coursera, O'Reilly Media, and Oracle in various Java programming and big data fields.
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