SREEKUMAR R

Dynamic and proactive IT professional with over 7 years of experience in application support and maintenance, specializing in incident triaging, bug fixes, and performance monitoring. Proven expertise in setting up dashboards and alerts using AppDynamics, Splunk, and Datadog to proactively identify and mitigate application issues. Adept at handling Jira-based ticketing, collaborating with cross-functional teams, and ensuring system stability through robust root cause analysis, and automation. Strong communicator, agile team contributor, and client-focused performer, with a flair for continuous improvement.

• 🛠️ Worked on a legacy application used by agents to create quotes and issue policies for end users across the Personal Lines insurance domain.
• 🔄 Played a key role in migrating WebSphere Application Server (WAS) to its latest version, gaining deep insights into server upgrade activities, infrastructure setup, and application deployment.
• 🧠 Acquired strong knowledge in server infrastructure planning, middleware configuration, and pre-/post-migration validations during major upgrade cycles.
• 💡 Worked on a service-based middleware application that handles data orchestration between upstream and downstream systems.
• 📊 Gained hands-on expertise in monitoring tools:
• Splunk – log analysis and real-time issue tracing
• Datadog – system performance dashboards and alerts
• AppDynamics – end-to-end application monitoring
• 🔄 Managed and supported batch job flows, ensuring smooth data feed transmission from upstream to downstream applications using DB2.
• ⏱️ Worked with enterprise job schedulers like ESP and Stonebranch to monitor and control job execution across environments.
• 🚨 Proactively contributed to issue prevention and faster triage through custom alerts, dashboards, and health-check mechanisms.

• Designed and implemented impact metrics dashboards in Splunk and Datadog to proactively monitor system health, significantly reducing manual effort and enabling faster detection of potential SLA breaches
• 🚨 Enabled real-time visibility into critical application metrics by building smart alerting mechanisms and KPI-driven visualizations—empowering the team to act before incidents escalated.
• 📉 Achieved a 30–40% reduction in recurring incidents by identifying patterns and anomalies early through these custom dashboards.
• 🏅 Received multiple client appreciations for:
• Rapid resolution of high-priority production issues
• End-to-end testing and stabilization during a major server upgrade across non-prod environments
• Delivering quick bug fixes during peak deployment windows, with minimal business impact