Sai Ravi Shankar

About Sai Ravi Shankar

I\'m a Senior ELK & Observability Engineer with 7+ years of experience designing and operating enterprise-grade observability platforms used by global organizations.At Wipro, I lead a team of 10 engineers and have architected large-scale Elastic Agent deployments across EC2 environments — standardizing log, metric, and trace ingestion at enterprise scale. I\'ve delivered 50+ custom Kibana dashboards with drill-down capabilities and client-specific KPIs, and led the end-to-end migration of 20+ Splunk dashboards to ELK with improved query performance.My core expertise: ELK Stack Architecture — Elasticsearch, Logstash, Kibana, Beats, Elastic Agent, Fleet Elastic APM & Synthetic Monitoring for Java applications Machine Learning Anomaly Detection & Kibana Transforms ILM Policies, Index Templates & Data Stream Lifecycle Management Advanced Watcher Alerting with Painless Scripting RBAC & Multi-Tenant Access Governance in Elastic ES|QL & KQL Query Optimization across high-cardinality datasets Python Automation & Ansible for ELK Administration Kafka & Redis Integration with ELK MonitoringPreviously at TCS (4+ years), I managed full-lifecycle ELK deployments, led critical Log4j vulnerability remediation, built Grafana dashboards for enterprise environments, and established CI/CD pipelines using Go CD.I turn raw log data into operational intelligence — helping teams cut MTTR, meet SLAs, and make faster decisions. Open to Senior/Lead ELK Engineer, Observability Engineer, or Elastic Stack Architect roles globally.

Experience

1. Senior Software Engineer

   Wipro

   Mar 2023 — Present · Hyderabad, IN

   Led a 10-member engineering team to architect and deliver a large-scale observability platform on ELK Stack, serving enterprise clients across production environments.• Architected and deployed large-scale Elastic Agent implementations across EC2 environments, standardizing ingestion of logs, metrics, and distributed traces at enterprise scale• Designed and delivered 50+ custom Kibana dashboards with drill-down capabilities and client-specific KPIs for operational and executive reporting• Led end-to-end migration of 20+ Splunk dashboards to ELK, achieving full feature parity with improved Elasticsearch query performance• Implemented Elastic APM to instrument Java applications and configured synthetic monitoring for critical user journeys• Designed ILM policies, index templates, and component templates to optimize storage lifecycle and reduce cluster costs• Deployed and maintained Fleet policies and Elastic integrations for centralized agent lifecycle management• Configured Machine Learning anomaly detection jobs and Kibana transforms to proactively identify performance deviations• Implemented RBAC for secure multi-tenant access governance across observability data• Developed advanced Watcher alerting frameworks using Painless scripting for complex event correlation and automated remediation• Authored and optimized ES|QL and KQL queries for advanced log search and cross-index correlation• Automated ELK administration using Python scripts for data stream management and alert orchestration• Collaborated with business stakeholders to translate operational requirements into observability solutions aligned with SLAs and KPIs

Education

• Raghu Engineering College

  Bachelor of Technology