Performance Testing Engineer Resume Alan Chapman Performance Testing Engineer (301) 555-0147 alan.chapman@example.com alanchapman Lanham, MD 20706 STRENGTHS Performance analysis When repeated test runs produced uneven results, compared measurements and telemetry to pinpoint likely bottlenecks before presenting recommendations. Clear reporting Turned capstone test evidence into a concise dashboard, giving reviewers a practical view of response times, throughput, errors, and tuning options. Capacity planning Used historical lab results to estimate future transaction demand and document assumptions that made capacity discussions more concrete. Collaborative diagnosis Worked through infrastructure and application telemetry with lab supervisors, turning separate observations into corrective options for review. Technical communication Presented findings in writing and in person, explaining test methods and performance variation to faculty and peers with different levels of technical detail. SKILLS Performance testing LoadRunner Load testing Stress testing Endurance testing Scalability testing Baseline analysis Bottleneck analysis Capacity planning Workload forecasting Performance modeling Service-level objectives Test criteria development Test result analysis Performance reporting LANGUAGES English Native 40 Spanish Beginner 10 SUMMARY Performance Testing Engineer with 1 year and 9 months of applied experience across university labs, capstone work, and supervised assignments. Build LoadRunner scenarios, establish baselines, and assess web and simulated mainframe systems in cloud-hosted environments. Translate test findings and workload history into capacity estimates and practical tuning recommendations, collaborating with peers and supervisors to explain results through reports and presentations. EDUCATION Bachelor of Science in Information Systems University of Maryland, College Park 2025 College Park, MD TECHNICAL SKILLS Load Testing Tools: LoadRunner, Apache JMeter, Gatling Performance Monitoring: AppDynamics, Splunk, Dynatrace Cloud Platforms: Amazon Web Services, Microsoft Azure, Google Cloud Platform Data Visualization: Grafana, Datadog, New Relic Web Protocols: HTTP, HTTPS, WebSocket Scripting Languages: JavaScript, Python, Java Database Technologies: MySQL, PostgreSQL, Microsoft SQL Server Mainframe Technologies: IBM z/OS, CICS, IBM Db2 Container Platforms: Docker, Kubernetes, Amazon ECS Build and Delivery Tools: Jenkins, GitHub Actions, Azure DevOps SKILLS Performance testing LoadRunner Load testing Stress testing Endurance testing Scalability testing Baseline analysis Bottleneck analysis Capacity planning Workload forecasting Performance modeling Service-level objectives Test criteria development Test result analysis Performance reporting EXPERIENCE Performance Testing Capstone Project University Capstone Project Jan 2025 - May 2025 College Park, MD Evaluated a multi-tier student services application under peak registration scenarios, creating LoadRunner scripts and measuring response times, throughput, and errors against defined service objectives. Correlated test runs with AppDynamics and Splunk observations to isolate database query and application server constraints, then presented tuning recommendations and a concise results dashboard. Used workload trends from repeated test cycles to model projected registration demand and document capacity assumptions for the capstone review. Converted service-level objectives into test criteria and compared baseline results across load, stress, scalability, and endurance scenarios to identify limits before registration demand peaked. Performance Engineering Lab Project University Performance Lab May 2024 - Dec 2024 College Park, MD Designed load, stress, and endurance tests for a cloud-hosted web service in AWS and Azure lab environments, recording reproducible baselines across workload levels. Reviewed infrastructure and application telemetry in Splunk, investigated bottlenecks with lab supervisors, and summarized corrective options for a technical presentation. Built a basic performance model from historical run data to estimate capacity needs as transaction volumes increased. Compared cloud test results against workload forecasts and capacity projections , then documented resource adjustments that reduced the largest observed response-time increase by 18%. Systems Performance Analysis Course Project University Systems Lab Sep 2023 - Apr 2024 College Park, MD Created test scenarios for a web application and a simulated mainframe transaction environment, using LoadRunner to compare performance under normal and elevated demand. Translated sample SLAs , KPIs, and non-functional requirements into measurable response-time and throughput checks, documenting test methods and findings. Compared results across repeat runs to identify performance variation and delivered a written analysis with evidence-based recommendations to course faculty. Analyzed application, database, and infrastructure measurements to pinpoint bottlenecks, then recommended query and resource tuning that improved simulated peak throughput by 12%. LEADERSHIP & AWARDS Dean's List, University of Maryland, 2024. Information Systems Capstone Showcase, Faculty Recognition, 2025. Performance Engineering Study Group, Project Coordinator, 2024-2025. Campus Technology Peer Mentoring, Volunteer Mentor, 2024. CERTIFICATIONS AWS Certified Cloud Practitioner 2025 Microsoft Certified: Azure Fundamentals 2024 LANGUAGES English (Native) Spanish (Beginner) ADDITIONAL INFORMATION U.S. citizen; able to obtain Public Trust clearance. Available for five-day onsite work in Lanham, Maryland. University Case Competition participant, 2023. ADDITIONAL INFORMATION U.S. citizen; able to obtain Public Trust clearance. Available for five-day onsite work in Lanham, Maryland. University Case Competition participant, 2023.
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