KADHIRMANI S

Azure Cloud Platform Engineer | Wipro Ltd.

Jun 2024 – Present

• Supported private endpoint implementation, enhancing network security and reducing public exposure.
• Assisted in upgrading Databricks Clusters with autoscaling for efficient workload management.
• Contributed to partitioning large datasets (Policy, Vehicle, NamedDriver) for faster queries.
• Optimized stored procedures by reducing redundant joins and using temporary tables.
• Helped scale databases to HyperScale Gen5 (16 vCores), improving query response times.
• Enhanced CI/CD pipelines in Azure DevOps for streamlined deployments and automation.

• Automated scripts for two Azure Cloud-hosted web applications, which consist of seven outstanding APIs and three business flows, using Apache JMeter.
• Executed average, peak, and endurance load tests, simulating 7,000 concurrent users during peak hours.
• Monitored system resources such as CPU, memory, disk space, and network utilization during performance testing via Mulesoft Anypoint Platform and Azure App Insights.
• Optimized API performance, achieving a 35% reduction in average response time through enhanced caching strategies, query partitioning, and index updates.
• Recommended and implemented solutions, such as CPU capacity upgrades and DB pool connection optimizations, resulted in a 20% improvement in system throughput under high load.
• Delivered performance reports and root cause analyses, contributing to a 15% improvement in overall application stability.