• Designed scalable and reliable Splunk architectures for on-premises, hybrid, or cloud
environments for including data modeling, parsing, and indexing strategies.
• Developed data onboarding strategies to ensure comprehensive log coverage from
systems, applications, and cloud platforms.
• Designed and implemented Splunk Enterprise including provisioning of UF, Heavy
Forwarders, Syslog Servers and ITSI infrastructure to provide high availability across
multiple data centers and support cloud integration efforts.
• Highly experienced in Installing, configuring, and maintaining Splunk infrastructure,
including forwarders, indexers, and search heads.
• Built customized dashboards, alerts, and reports to meet business and security
requirements.
• Provided extensive production support, troubleshooting issues such as missing logs (UF,
Syslog, API, DB Connect, HEC), configuration mismatches, KV store failures, and network
problems.
• Having Expert level experience in writing Splunk search processing language (SPL) for
creating complex search queries/correlations, CIM compliance, Datamodel management.
• Excellent analytical and problem-solving skills with the ability to address complex issues
such as by troubleshooting ingestion errors—addressing malformed events, timestamp
issues, duplicate logs, CRC issues and incorrect sourcetype assignments.
• Conducted capacity planning and performance tuning of Splunk instances and
implemented retention policies, index lifecycle management, and storage optimization.
• Integrated Splunk with various data sources such as AWS CloudTrail, Azure Activity Logs,
and Zscaler streams, analyzing the data for parsing to make it CIM compliant.
• Proficient in both Linux and Windows environments in Splunk deployment and
infrastructure on AWS, utilizing services like EC2, S3, CloudWatch, CloudTrail, VPC,
CloudFront to meet compliance and performance needs.
• Put massive amount of efforts to cleanse noisy or malformed data at ingest time, resolving
issues like timestamp mismatches, sourcetype misclassification, CRC duplication, and
parsing failures.
• Led the development of custom integration modules using Python, REST APIs, and scripted
inputs to connect Splunk with external log sources and incident response systems.
• Provided technical Splunk support and training to end-users and stakeholders.
• Develop and maintain documentation for system configurations, processes, and
procedures.
• Worked closely with cross-functional teams to design and implement monitoring solutions
that enhance the visibility and security of the IT environment.
• Maintain, upgrade, and troubleshoot issues with SPLUNK clusters along with managing,
patching and updates of Splunk hosts.
• Built advanced dashboards to visualize daily license usage, incident volumes, firewall
blockage, pipeline blockage, ticket SLAs, and host, source, sourcetype monitoring for
Security, and Infrastructure teams.
• Defined and scheduled background searches and summary jobs to reduce dashboard load
time, implementing cron expressions and time window tuning for efficiency.
• Designed, developed Custom advanced Splunk dashboards, schedule reports and alerts in
support of the Incident Response team.
• Integrated Splunk with other security tools (e.g., SIEM, SOAR, endpoint protection, threat
intelligence feeds).
• Installed, upgraded, and maintained required SPLUNK applications and add-ons such as
Splunk Add-on for AWS, dbconnect, duo security, Thinkst Canary tools.
• Monitored SPLUNK daily health status for cluster status, health status, and other issues,
and resolve as needed to take necessary action.
• Strong background on onboarding structured/unstructured data using UF/HF, syslog, APIs,
HEC, DB Connect ensuring CIM compliance and properly parsed field extractions.
- Company industry:
- Public Administration