Developed an automation process to identify and delete inactive volumes in storage environments. This project significantly reduced unused storage consumption and improved overall system efficiency. The implementation utilized Python and integrated with PowerMax, NetApp, and Infinidat storage platforms.
Created an automated method to identify and remove inactive zones within Cisco switches. The solution helped streamline network management by ensuring that outdated or unnecessary configurations were safely removed, reducing complexity and improving network performance.
Built custom Splunk queries and dashboards to extract meaningful insights from infrastructure logs. These dashboards provided real-time monitoring, enhancing operational visibility and troubleshooting efficiency.
Developed multiple Python automation scripts to streamline infrastructure operations. These included data parsing, log analysis, and system health checks, helping reduce manual workload and increasing operational reliability.