Accomplished **Database Professional** with over 9 years of experience specializing in **Database management, cloud infrastructure, and solution architecture**. I bring a proven track record of delivering robust and scalable **Cloud DBA solutions** across AWS and Azure, leveraging automation, database optimization, and performance tuning in dynamic environments. My expertise includes streamlining database operations through tools like **Terraform, Jenkins, and CI/CD pipelines**, enabling efficient, secure, and resilient deployments that align with modern DevOps practices.
Currently pursuing an **MBA in Strategy and Consulting at FMS Delhi**, I am passionate about transitioning into a more **Strategic role**—where I can bridge deep technical acumen with business-driven objectives. I am well-versed in **Collaborating with cross-functional teams** to ensure high availability, disaster recovery, and operational excellence while driving innovation and business value. Inspired by your professional journey, I would be grateful for your mentorship or guidance as I navigate this next career phase.
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Expertise with key DevOps, monitoring, and automation tools: Jenkins, Datadog, Terraform, Dynatrace, Striim, Bitbucket, JIRA, TSM, Splunk, Microsoft PowerShell Advanced database management: Cloud and relational database administration, SQL Profiler, schema design, indexing, partitioning, query optimization, replication, clustering,powershell Business intelligence and analytics: Power BI, resource utilization analysis, performance optimization Comprehensive data management: Data migration techniques, DMS,ETL process development, data integration strategies, data modeling, database upgrades, Infrastructure and cloud solutions: Multi-cloud strategy, cloud architecture design, capacity planning, scalability, serverless and virtualization technologies, infrastructure automation and migration Disaster recovery and high availability: Disaster recovery planning, backup and recovery, high availability implementations,Multi-AZ Enterprise architecture: Enterprise architecture design, solution implementation, architecture review, strategic IT planning Sales and stakeholder communication: Sales strategy, pre-sales support, sales presentations, excellent communication, stakeholder engagement Automation and microservices: Automation scripting, microservices development, resource provisioning, load balancing Security and compliance: Security compliance, cost optimization, data storage optimization AI and innovation: Artificial intelligence implementation, analytical thinking, migration strategies, effective communication,GenAI tools And Integration
1. SQL Server DB Script Deployment Project through Jenkins
• Reduced manual deployment effort by 60% by fully automating SQL Server script deployments via Jenkins pipelines, saving over 120 hours per year.
• Improved deployment success rate by 30% by implementing automated error-checking and rollback procedures.
2. DC4 Datacentres Migration Project
• Successfully migrated over 100+ databases across DC4 Datacentres with zero data loss, achieving 99.99% uptime during transition.
• Shortened migration window by 40%, resulting in annual operational savings of approximately $50,000 due to reduced downtime.
3. Datadog Integration Project with SQL Server
• Enabled real-time performance monitoring on 50+ SQL Server instances, reducing incident response times by 45%.
• Decreased average resolution time for SQL Server alerts by 35% post-integration.
4. BAW Migration Project from Oracle to Synapse
• Led migration of 15+ business data workflows from Oracle to Synapse, boosting query performance by 50% and reducing monthly infrastructure costs by $30,000.
• Achieved project deliverables 3 weeks ahead of schedule through streamlined ETL pipelines.
5. SQL Server Upgrades Project from 2012 to 2019
• Upgraded over 70 SQL Server databases from 2012 to 2019 with zero critical incidents, improving security compliance and reducing legacy vulnerabilities by 80%.
• Reduced system maintenance overhead by 25% post-upgrade.
6. Migration Project from EC2 to AWS RDS Instances
• Migrated 30+ enterprise databases from EC2 to AWS RDS, reducing infrastructure costs by $45,000 annually and improving backup/recovery efficiency by 60%.
• Enhanced scalability and disaster recovery capabilities with minimal downtime (7. Migration from PostgreSQL to SQL MI through Azure ADF
• Automated migration workflows for 20 databases using Azure Data Factory, reducing migration effort by 70 hours.
• Improved data synchronization accuracy to 99.8% during transition.
8. Azure Analysis Service Model Deployments and Refresh Project
• Implemented automated deployment and refresh process for Azure Analysis Services models, reducing time-to-deploy from 3 hours to 20 minutes per cycle.
• Increased report data freshness by 85%, enabling more informed business decisions.
9. Disaster Recovery Automation Project for RDS Instances Database
• Designed and deployed disaster recovery automation for 25+ RDS instances, reducing recovery time objective (RTO) by 90% (from 2 hours to under 12 minutes).
• Secured annual risk mitigation savings estimated at $75,000 by minimizing data loss and downtime.