Renze Post
About Renze Post
Renze Post is a Data Engineer with expertise in distributed big data systems, particularly using Spark and Hadoop. He has extensive experience in implementing data workflows and pipelines, currently working at Liberty Global since 2018.
Work at Liberty Global
Renze Post has been employed as a Data Engineer at Liberty Global since 2018. His role involves working in Schiphol-Rijk, located in the Provincie Noord-Holland, Nederland. In this position, he applies his expertise in distributed big data systems and implements data workflows and pipelines, contributing to the company's data management and analysis efforts.
Professional Experience
Renze Post has a diverse professional background. Prior to his current role, he worked at a.s.r. de Nederlandse verzekeringsmaatschappij voor alle verzekeringen as a Business Intelligence Developer from 2016 to 2018. He also served as a Functioneel Beheerder / Analist Marketing Intelligence at the same company from 2015 to 2016. His earlier roles include working as an IT Specialist at Brunel from 2014 to 2015, a Business Information Administrator at Zicht for four months in 2014, and a Developer at Webgame Studios in 2009.
Education and Expertise
Renze Post studied at Reitdiep College, where he completed his VWO in Natuur & Techniek from 1996 to 2003. He then attended Hanzehogeschool Groningen, earning a Bachelor's degree in Communication from 2003 to 2008. His expertise includes distributed big data systems, data workflows, and automation, with proficiency in technologies such as Spark, Hadoop, Apache Airflow, Elasticsearch, Grafana, Ansible, Docker, and Mesos.
Background in Data Engineering
Renze Post has developed a strong foundation in data engineering through various roles. His experience includes managing and analyzing data, implementing data pipelines, and utilizing containerization and orchestration tools. He has worked in different capacities, including as a Consultant at ITDS from 2008 to 2014 and as an Intern at UMCG from 2007 to 2008, which has contributed to his comprehensive understanding of data systems.