Lea Andersen is an experienced technology professional with a strong background in observability engineering, application monitoring, and customer support. Currently serving as an Observability Engineer at Paymentus, Lea creates monitoring alerts using Python, SQL, JSON, Elasticsearch, and Painless. Previous roles include Application Monitoring Analyst at Paymentus, Consultant at iTutorGroup, Customer Support Engineer at School Loop, Inc., and System Support Specialist II at ANSYS, Inc. Lea has a proven track record in troubleshooting, issue resolution, and software testing, with expertise in ticket management systems and customer engagement. Educational credentials include a Bachelor's degree in Computer Science and a Master's degree in Library and Information Science from the University of North Texas.
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