Splunk ITSI - Experience - 5- 10 Years - Pan India

Splunk ITSI : Expertise in utilizing Citrix observability data with Splunk IT Service Intelligence for comprehensive monitoring and analytics of Citrix environments.

- VDI and VM Observability : Proficient in monitoring Virtual Desktop Infrastructure (VDI) and Virtual Machines (VMs) for performance, reliability, and scalability.

- OpenTelemetry, Kafka, and Splunk/Grafana : Hands-on experience with OpenTelemetry for unified telemetry, Kafka for real-time data ingestion, and Splunk/Grafana for powerful data visualization and alerting.

- Data Science & Machine Learning : Proficient in Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy for developing machine learning models for anomaly detection and root cause analysis.

- ETL & Data Analysis : Extensive knowledge of ETL techniques using Apache Airflow, Apache NiFi, and Spark.

- Distributed Systems & Cloud : Thorough understanding of Kubernetes, Docker, and service mesh technologies (Istio, Linkerd) with experience in AWS, Azure, and GCP observability services.

- Event-Driven Architectures : Experience with Kafka, RabbitMQ, and integrating observability into event-driven architectures.

- Time-Series Analysis & Predictive Analytics : Skills in time-series analysis for predictive maintenance and alerting.

- Security & Compliance : Ensuring observability data is managed securely and in compliance with regulations like GDPR, HIPAA.

- Performance Optimization : Ability to conduct root cause analysis and improve observability for system optimization.

Experience :

- Lead Observability Project in Citrix Environment : Directed the implementation of Citrix observability with Splunk ITSI, enhancing the monitoring of over 1,000 virtual desktops and applications. Improved MTTR by 40% and increased user satisfaction.

- VDI and VM Observability : Designed and deployed observability solutions for VDI and VMs using OpenTelemetry and Splunk, ensuring performance and availability of critical applications and infrastructure.

- Advanced Monitoring & Analytics with Kafka and Splunk : Spearheaded the deployment of real-time monitoring solutions using Kafka for event streaming and Splunk for visualization and alerting in a high-traffic environment.

- Machine Learning-Driven Anomaly Detection : Developed and implemented machine learning algorithms in Python for anomaly detection in telemetry data.

- Cross-Functional Collaboration : Worked closely with SREs, DevOps, and development teams to enhance system reliability and incident response.