Abhilash V A

Results-driven Performance Test Engineer with 2.5 years of experience specializing in optimizing software functionality and scalability across diverse environments, including cloud solutions. Proficient in comprehensive performance testing, metrics collection, and effective communication to drive improvements. Expert in identifying and resolving performance bottlenecks.

Additionally, skilled in creating Python scripts for automation, minimizing manual efforts, and generating insightful performance reports. Specialized in performance testing for ETL cloud pipelines and contributing to cloud migration initiatives. Adept at finding swift solutions to complex challenges, committed to delivering high-quality, efficient solutions.

Managed multiple cloud migration applications within the LFG project, encompassing a variety of architectures, and protocols, with a predominant focus on cloud-based solutions. Additionally, utilized web services and HTTP protocols for comprehensive performance testing.

• Utilized JMeter for scripting performance tests, ensuring the rigorous evaluation of application performance.

• Used GitLab for seamless Continuous Integration and Continuous Deployment (CI/CD) processes, enhancing application delivery and efficiency.

• Used JMeter with Influx DB and Grafana for real-time monitoring, providing proactive insights.

• Collected metrics from AWS CloudWatch, performed log insights queries, and monitored performance metrics of AWS services like Lambda, ECS.

• Employed APM tools such as AppDynamics and New Relic to identify and address performance bottlenecks, enhancing overall application performance.

• Conducted a comprehensive range of tests, including load, duration, and scalability tests, to ensure the reliability and efficiency of applications in diverse environments.

• Designed and implemented multiple real-world scenarios in various applications, reflecting practical usage and ensuring comprehensive performance testing.

• Performed performance testing on both the UI and API levels (Postman collections), ensuring that the applications met non-functional requirements.

• Applied Agile methodologies to optimize the testing process and enhance collaboration with development teams

Utilized NeoLoad for conducting load and duration tests to ensure application performance.

• Played a critical role in identifying and resolving performance bottlenecks, fostering effective communication with both stakeholders and developers.

• Leveraged Dynatrace as a powerful APM tool to continuously monitor and enhance application performance, ensuring a seamless user experience.

• Demonstrated versatility by creating Python automated scripts for comprehensive reporting and automating Lighthouse reports, thereby streamlining the testing processes and enhancing productivity.

Dayananda Sagar University CGPA – 7.5 B. Tech in Electronics and Communication