Client Name: UBS (Union Bank of Switzerland)
- Establish new build environments on Windows/Linux for diverse applications while developing and deploying Azure and AWS services, emphasizing performance and cost-effectiveness
- Resolving Tickets which include creating and maintaining databases, monitoring Disk Space, database integrity, identifying missing Indexes, handling blocking
- Ensure and maintain backup and recovery policies and procedures
- Actively monitor and administer applications, ensuring efficiency and minimizing downtimes, while applying the Patching’s
- Performing data refresh activities from production to Dev/Test on an ad-hoc basis
- Backup and restore the databases from production to test environment
- Creating and reviewing Security features for all the servers
- Handling Master, Model, MSDB, TEMPDB, and Resource database corruptions
- Experience in Configuring Log Shipping and mirroring
- Experience in SQL Profiler, Extended Events, and Performance Counters
- Expertise in Ensuring Data consistency in the database through DBCC commands
- Expertise in Configuring the Maintenance Jobs (Full Backup, Differential, Log, Rebuild, Re-Organize)
- Maintain & Monitor Alerts/Schedules to make a smooth replication process
- Expertise in Performance tuning of applications, databases, and operating systems
- Expertise in upgrading/migrating the traditional architecture databases to multi-tenant databases and regular maintenance of the multi-tenant databases
- Review/Prepare Implementation Pack, Job Procedure, and Process Flow documents as required
- Expertise in handling the day-to-day issues that arise in a very critical production environment
- A project planner with expertise in spearheading Database Projects involving planning, implementation, migration, upgrades, partitioning, compression, patching, cloning, and administration, ensuring delivery of projects within the time and cost parameters
- Experience in Monitoring database systems to detect issues and respond to incidents promptly, escalating as necessary to meet SLA requirements
- Collaborated with data engineering teams to optimize data pipelines and enhance data processing efficiency
- Focused towards ITIL Framework (Incident/Change/Problem Management)
- Successful in communicating with people at all levels and with other departments as needed to Serve the customer best
- Collaborated closely with cross-functional teams to define technical requirements for new initiatives.
- Leveraged machine learning algorithms to predict trends from massive volumes of unstructured data.
- Implemented real-time monitoring tools to detect anomalies in data streams swiftly.
- Created interactive dashboards using BI tools such as Tableau, empowering non-technical stakeholders with actionable insights.
- Managed end-to-end data pipeline construction for seamless integration of disparate data sources.
- Led team training sessions on best practices in database management and maintenance, enhancing overall staff proficiency.