Garrett Seibt
About Garrett Seibt
Garrett Seibt is a Principal Database Engineer with extensive experience in database management and architecture. He has worked for notable companies including Overstock.com, eBay, and AtTask, and possesses proficiency in various database technologies and tools.
Work at Overstock
Garrett Seibt has been employed at Overstock.com as a Principal Database Engineer since 2014. In this role, he has contributed to the company's database management strategies and operations. His responsibilities include overseeing database performance, implementing backup and recovery processes, and ensuring data integrity. His extensive experience in database engineering supports Overstock's commitment to maintaining efficient and reliable data systems.
Previous Experience in Database Engineering
Prior to his tenure at Overstock, Garrett Seibt worked at several notable companies in database engineering roles. He served as Principal Database Engineer at Galileo Processing for nine months in 2013-2014 and as Principal Database Administrator at AtTask for two years from 2011 to 2013. Additionally, he was an Oracle DBA/Architect at eBay from 1999 to 2008, where he gained significant experience in database architecture and management.
Technical Skills and Expertise
Garrett Seibt possesses a range of technical skills relevant to database management. He is proficient in RMAN backup and recovery processes and has experience with Real Application Clusters (RAC). His expertise extends to Oracle Enterprise Manager OEM versions 11g and 12c. He is also familiar with Linux Redhat and Oracle Linux versions 5 and 7, and has worked with storage solutions from Hitachi, EMC, and Netapp.
Database Architecture and Data Modeling
Garrett Seibt is skilled in both physical and logical database architecture and data modeling. His experience encompasses the design and management of databases for Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) systems. This expertise allows him to effectively structure and optimize databases to meet various business needs.