Worked on high-volume payment processing platforms handling critical financial transactions, ensuring system availability, data

integrity, and seamless user experience across distributed microservices architecture.

• Owned end-to-end production stability, leading incident triaging, root cause analysis (RCA), and resolution of P1/P2 issues while

adhering to ITIL-based incident and change management processes.

• Performed deep log analysis across application logs, Unix system logs, and Oracle database logs, identifying root causes of failures

and implementing long-term fixes to prevent recurrence.

• Engineered automation solutions using Python and Unix shell scripting (cron, bash) to eliminate manual interventions, improving

operational efficiency and reducing repetitive workload by 30%.

• Built and maintained monitoring dashboards using tools like Prometheus, Grafana, or Datadog to track system health and

performance.

• Monitored system performance using AppDynamics, proactively identifying performance bottlenecks, memory leaks, and latency

issues, reducing MTTR by 25%.

• Collaborated with development teams to optimize application performance and ensure reliability in production environments.

• Worked extensively with Oracle databases (PL/SQL) to perform query tuning, data validation, and troubleshooting of data

inconsistencies in production systems.

• Managed cloud infrastructure on AWS, including compute, networking, and storage services.

• Improved system scalability by implementing auto-scaling and load balancing strategies

• Reduced deployment failures by implementing automated testing and rollback mechanisms

• Enhanced monitoring and alerting strategies by tuning thresholds and reducing false positives, enabling faster and more accurate

incident response.

• Handled Kafka-based event-driven systems, ensuring reliable message processing, troubleshooting consumer lag, and maintaining

data consistency across services.

Worked on enterprise-grade applications in ITIL-driven environments, ensuring high availability, system stability, and smooth

production operations across distributed systems.

• Performed Unix-based troubleshooting using shell commands and log analysis techniques (grep, awk, tail) to diagnose system-level

issues and resolve them efficiently.

• Designed and developed RESTful APIs and microservices using Java and Spring Boot, supporting high transaction volumes

Linux/Unix, Capacity Planning, Performance Optimization

exceeding 1 million requests per day.

• Led debugging efforts across application, middleware, and database layers, identifying root causes and implementing permanent fixes

for recurring production issues.

• Built and deployed scalable microservices architecture, improving application performance, modularity, and maintainability.

• Automated operational and deployment workflows using Python and shell scripting, reducing manual effort and improving

consistency in processes.

• Managed containerized applications using Kubernetes (AWS EKS), ensuring high availability, scalability, and efficient resource

utilization.

• Worked with Kafka messaging systems, troubleshooting message delays, consumer failures, and ensuring reliable event processing

pipelines.

• Optimized Oracle database queries and backend processing logic, improving application performance and reducing response times by

20%.

• Actively contributed to incident resolution, system improvements, and release cycles, ensuring production readiness and long-term

stability of applications.