Cliff Hearne
About Cliff Hearne
Cliff Hearne is a Senior Database Administrator at Expedia, Inc. with extensive experience in database management and performance optimization.
Senior Database Administrator at Expedia, Inc.
Cliff Hearne has been employed at Expedia, Inc. as a Senior Database Administrator since 2013, working in Bellevue, WA. In this role, he deals with administering and optimizing various database systems, ensuring their robust performance in a high-traffic eCommerce environment. His responsibilities include configuring Microsoft Clustering, Mirroring, Log-shipping, and Transactional Replication to enhance database operations.
Previous Experience at Bank of America
Cliff Hearne held the position of Senior Database Administrator at Bank of America from 2012 to 2013 for a duration of 7 months. During his tenure, he harnessed his expertise in SQL Server to administer and troubleshoot database systems, contributing to the banking giant's operations.
T-Mobile Tenure
From 2011 to 2012, Cliff Hearne served as a Senior Database Administrator at T-Mobile in Snoqualmie, WA. His role involved working closely with database developers to solve database performance issues, focusing on execution plans, index coverage, and SQL Server statistics. He utilized his skills in performance tuning and optimization to maintain the efficiency of T-Mobile's database systems.
Education in Information Systems Management
Cliff Hearne pursued his education at the University of Maryland Global Campus, where he studied Information Systems Management and earned a Bachelor of Science degree. He attended the university from 1995 to 2010, gaining extensive knowledge and skills over a 15-year period. Additionally, he achieved an Associate in Arts in Computer Studies from the same institution, which he attended from 1989 to 1999.
Expertise in Multiple Database Systems
Cliff Hearne has comprehensive expertise in managing various database systems including Oracle, MySQL, Cassandra, MongoDB, and Postgres. His proficiency extends to configuring critical features like Microsoft Clustering, Mirroring, Log-shipping, and Transactional Replication in both pre-production and production environments. He consistently works with database developers and engineers to analyze and resolve performance issues, ensuring optimal database functionality.