Gerhard Van Deventer
About Gerhard Van Deventer
Gerhard Van Deventer is a Senior Data Engineer with extensive experience in data management and engineering roles. He has worked at various companies, including OUTsurance and Equal Experts, and has a Bachelor's degree in Computer Science from the University of South Africa.
Work at Equal Experts
Gerhard Van Deventer has been employed at Equal Experts as a Senior Data Engineer since 2021. In this role, he focuses on data engineering tasks, leveraging his extensive experience in the field. His work involves utilizing advanced cloud technologies and enhancing data processes to improve efficiency and performance.
Previous Experience at OUTsurance
Gerhard Van Deventer held multiple positions at OUTsurance from 2008 to 2020. He served as a Database Administrator from 2008 to 2014, followed by a role as a Business Intelligence Developer from 2014 to 2018. He later became the Technical Lead for two years, from 2018 to 2020, and also worked as a Data Warehouse Manager for one year during this period. His diverse roles contributed to his expertise in data management and analytics.
Experience at Belay Development
Before joining OUTsurance, Gerhard Van Deventer worked at Belay Development as a SQL Database Administrator from 2003 to 2008. This position allowed him to develop foundational skills in database management and SQL, which he later applied in his subsequent roles in the industry.
Education and Expertise
Gerhard Van Deventer studied Computer Science at the University of South Africa/Universiteit van Suid-Afrika, where he earned his Bachelor's degree. His educational background laid the groundwork for his career in data engineering and analytics, equipping him with essential technical skills.
Technical Skills and Projects
Gerhard Van Deventer has developed a CI/CD pipeline for a Snowflake account using Terraform, GitLab, and Google Cloud Platform (GCP). He focuses on enhancing his skills in Snowflake and CI/CD processes, gaining experience in advanced cloud technologies that are critical in modern data engineering.