Pavani S.
Backend/FullStack Developer |AWS Expert 🚀
- Role
- Sr Software Engineer (Jp Morgan Chase) at Virtusa
- Location
- Houston, TX, US
- LinkedIn followers
- 500 followers
About Pavani S.
An individual who possess a M.S. degree in Software engineering from San Jose State University. Working in the industry has given me great exposure to work in fast-paced, high volume and mission-critical projects, targeting zero error tolerance and also ensuring system integrity. I am highly motivated by the constant learning that comes with my profession and contributed significantly to a successful product.Have gained end-to-end knowledge about SDLC processes. Seeking to leverage my experience and skills to deliver insights and implement action-driven solutions to complex business problems.• Languages - Java, R & Python, Go • Web - HTML, JavaScript, Vue.js, Node.js, React, Flask, Rest API• Databases -MongoDB, SQL Server, Oracle • Frameworks- Spring Boot, Spring MVC, Spring JPA, Angular, JDBC, TestNG, Redux • Software/Tools - Kafka, Jenkins, Maven, Selenium, Soap UI, Eclipse, Appium, Git• Cloud Technologies: AWS (EC2, Lambda function, S3, RDS, SQS, Cloudwatch, IAM and other services of AWS Family), Docker, Kubernetes• Operating System - Windows, Linux
Experience
Sr Software Engineer (Jp Morgan Chase)
Apr 2024 — Present · Houston, TX, US
Led the modernization of BTL\'s mainframe transaction services by migrating from localized branch servers to a centralized AWS cloud infrastructure, utilizing microservices architectures to enhance resiliency, reduce operational costs, and decrease dependency on legacy systems.• Developed an AWS Lambda function in Python to validate data between legacy and new systems, ensuring data integrity and consistency across migrations and accurately identifying and resolving 90% of data mismatches, ensuring data integrity.• Conducted performance profiling using JMeter, BlazeMeter and Dynatrace to identify bottlenecks, optimizing database queries, API calls, and application logic, leading to a 30% reduction in response time and significantly improving system performance.• Created Splunk queries and alerts to detect anomalies, reducing production issue resolution time by 40%.• Improved system efficiency by analyzing JMeter and BlazeMeter test results, removing redundant queries, and leveraging batch processing, reducing query execution time by 60%.
Education
San José State University
Master of Science,Engineering
2018 — 2020
Mahatma Gandhi Institute of Technology
Bachelor's degree, Electrical and Electronics Engineering
2010 — 2014
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