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Pradeep Shunmugam

Pradeep Shunmugam

Observability & Automation Engineer

Talent
Hyderabad / Secunderabad, Telangana, Telangana, IndiaMember since August 9, 2026
AppDynamicsSplunkGrafanaClickHouseSCOMIBM Tivoli (ITM)OpenTelemetryOpenTelemetry CollectorKuberneteskubeadmCilium CNIPythonGogRPCSQLAWS EC2Helm
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AppDynamicsSplunkGrafanaClickHouseSCOM

About

Observability and Automation Engineer with 6+ years designing, implementing, and migrating enterprise monitoring solutions across on-prem and cloud-native environments. Deep expertise in AppDynamics, ClickHouse, Grafana, and Splunk, with hands-on experience building Kubernetes-based observability pipelines using OpenTelemetry, Cilium, and eBPF-based auto-instrumentation. Proven track record automating operational workflows in Python, reducing manual effort by up to 90%, and cutting incident response time through data-driven alerting.

Actively expanding into cloud-native and distributed systems engineering with Go, gRPC, and Kubernetes.

Experience

Observability Engineer — Splunk, Grafana, ClickHouse at Cognizant Technology Solutions Pvt Ltd (2025-07 – Present)

  • Migrated Splunk SPL queries to ClickHouse SQL, improving query performance across billions of logs and metric events and enabling large-scale dashboard and alert migration.
  • Designed 150+ Grafana dashboards surfacing business and operational metrics for product stakeholders.
  • Built real-time ClickHouse-integrated Bosun alerting for critical system metrics, reducing incident response time.
  • Automated scheduled Grafana reporting, delivering recurring KPI insights to product and engineering teams.

Observability Engineer — AppDynamics at Cognizant Technology Solutions Pvt Ltd (2020-03 – 2025-07)

  • Delivered full-stack observability for monolithic applications via AppDynamics APM and End User Monitoring, covering application, database, and OS-level visibility.
  • Reduced application response latency by 25% through performance bottleneck analysis with Development and Operations teams.
  • Designed custom Health Rules, anomaly detection, and alerting policies to proactively identify performance degradation before business impact.
  • Led AppDynamics on-premises to SaaS migration with zero monitoring downtime; owned platform administration including agent onboarding, dashboards, and alerting.
  • Configured the AppDynamics IBM MQ Machine Agent Extension for custom queue and message metrics.
  • Extended End User Monitoring to Salesforce and monolithic applications to track real user experience and page load performance.

Automation — Python at Cognizant Technology Solutions Pvt Ltd (2024-05 – 2025-07)

  • Built Python automation for health checks and CSV error detection, cutting manual review effort by up to 90%.
  • Deployed scheduled remote-execution scripts via Windows Task Scheduler across distributed servers.

Infrastructure Monitoring — SCOM & IBM Tivoli (ITM) at Cognizant Technology Solutions Pvt Ltd (2020-03 – 2025-07)

  • Designed and implemented SCOM architecture; migrated monitoring from IBM Tivoli (ITM) to SCOM.
  • Created Windows service monitor, Linux process/service monitor to notify application/server teams to reduce the application down time
  • Have a strong experience of server and URL monitoring in both SCOM and ITM.
  • Implemented monitoring for all the workgroup servers in SCOM with SSL certificate for each server.
  • Analysed application and server performance using SCOM reports, providing actionable insights to reduce downtime.

Cloud-Native Observability Engineer at Independent Project

  • Deployed a multi-node Kubernetes cluster (kubeadm, Cilium CNI) on AWS EC2 and integrated Splunk Observability Cloud via the OpenTelemetry Collector (Helm), enabling infrastructure metrics, container-level telemetry, and eBPF-based auto-instrumentation (OBI) without application code changes.
  • Independently diagnosed and resolved production-grade networking issues, including CNI/VXLAN Security Group misconfigurations, cross-node DNS failures, and container runtime image-store mismatches, restoring full observability data flow end-to-end.
  • Evaluating OpenTelemetry as a long-term migration path from vendor-specific tooling (AppDynamics, Splunk) toward a unified, vendor-neutral observability standard.

Education

B.E. – K.S. Rangasamy College of Technology (2014 – 2018)

Skills

Observability & Automation Engineer

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