Over 6.6 years of expertise managing Relational Database Management Systems has made an experienced MSSQL and MariaDB Database Administrator. Proficient in database monitoring, configuration, upgrade management, and migration. Skilled in high availability, disaster recovery, log shipping, clustering, and handling alerts and outages. Additionally, experienced in Service Now Cloud management and RHELOS installation and regular maintenance. My expertise in monitoring applications with Dynatrace, NewRelic, ECK, and Prometheus allows me to use APM to track user app data and provide insights into application usage. I am capable of working with Docker, automating script work with Jenkins, and creating containers in Kubernetes and able to manage the platform in Azure with the help of IaaS.
Project 1: SQL Server Administration, Always on HA,
Project 2: MariaDB & RHEL Administration, Service Now Cloud Admin
Project 3: Oracle Cloud Database Integration
Databases & Technologies: MariaDB, MSSQL, Oracle, MySQL, SQL Server Cloud Platforms: Azure , AWS
Administration of various SQL database environments: SQL Server 2005/2008 R2 / 2012/2014/2016 in large projects
Experienced in configuring and managing high availability technologies of Database such as Always-on clustering, database mirroring, log shipping etc
Monitoring space on server, handling issues with log files, shrinking log and data files
Experienced in optimizing performance of databases through performance tuning measures such as indexing, updating statistics, and expensive query analysis by query execution plans etc
Experienced in Azure IAAS: Configuring the VM and providing services for Azure Cloud
undefined• Worked on AWS Migration from on premise to cloud
• EC2 Creation, Cloud Front, SQL installation in EC2 machine
• Volume (EBS) creation and attachment through disk attachment
• CLUSTER configuration and cloud witness
• Always on configuration on EC2 machine
• AWS RDS, S3
• DBA operation support for cloud servers and many more
• Azure SQL, SQL Managed Instance and SQL on VM, Azure Migration from On premise .
• Azure monitoring with help of log analytics & tuning the alerts ensure the find the root cause of the issue.
• Automate the scripting with help of jenkins, maintaining the Dockers containers and ensure non one them effected through monitoring.