George Moayi

Database Administrator

KiawiTechIT Consulting Services

08.2019 - Current

Ensured 99.9% uptime for 300+ production databases across 30 instances by implementing Always On Availability Groups, Failover Clustering, and automated failover protocols, optimizing SQL Server infrastructure management.
Enhanced response times by 40% across all instances through SQL Profiler-based query optimization and automated index maintenance, streamlining access for a 300+ database environment.
Upgraded 30 SQL Server instances from 2016 to 2019 Enterprise edition with zero data loss, using coordinated in-place and side-by-side upgrade methods and robust testing for seamless continuity.
Secured data for 1,000+ users by designing a multi-layered security framework, integrating role-based access control, Active Directory, and Transparent Data Encryption to meet SOC2 compliance standards.
Reduced operational costs by 25% by leading the migration of 20+ databases to Azure SQL, using Data Migration Assistant for compatibility testing and capacity planning to ensure a smooth cloud transition.
Cut CPU utilization by 50% and improved query execution times by 35% with automated monitoring (Extended Events, Performance Monitor), enabling proactive detection and resource adjustments.
Achieved a 5-minute RPO by deploying disaster recovery solutions with Always On Availability Groups, ensuring uninterrupted access to critical data during outages.
Automated 70% of routine DBA tasks with 100+ stored procedures and maintenance plans, accelerating response times and improving system checks across 30 SQL instances.
Decreased Mean Time To Resolution (MTTR) by 60% in a 300+ application environment through real-time monitoring and automated alerts, enhancing incident response efficiency.
Led SQL Server patch cycles for 30 instances with a 99.99% success rate, coordinating patching during off-peak hours and using failover clustering to ensure minimal downtime.
Optimized complex T-SQL queries and streamlined database interactions across multiple databases to support application performance, improving query efficiency and reducing processing times.
Documented performance analysis insights and provided actionable recommendations to optimize resource use, resulting in faster response times and enhanced database efficiency.
Collaborated on large-scale projects with cross-functional teams, balancing independent workload management with team-oriented strategies to meet migration and upgrade objectives.