Aashish Vundhyala

Senior Software Engineer

Seattle, Washington, United States

About

Experienced Software Engineer with 5+ years of expertise in Java, Spring Boot, Python, Django, C#, Go, RESTful web services, MySQL, MongoDB. Hands-on experience with AWS, and Strong problem solver with a solid foundation in data structures and algorithms. - Devised User Interface using Django, JavaScript, NodeJS, HTML5, CSS3, JQuery, Angular, and React.

Experience

  • Senior Software Engineer at Dollar General
    Dec 2024 - Present · 1 yr 7 mos

    ● VNC modernization project converting legacy C code, full-stack upgrades, frontend redesigns improved latency by 50%. ● Mentored engineers, promoted code review best practices, and contributed to documentation to improve onboarding and maintain quality standards. ● Identified and resolved performance bottlenecks across the application – reduced latency by over 80%.

  • Software Engineer at Apple
    Jul 2024 - Dec 2024 · 6 mos

    ● Designed End-to-End Automation framework for Compatibility Manager for Apple Home Page. ● Developed comprehensive test automation suites.

  • Software Development Engineer at Amazon Web Services (AWS)
    Jun 2022 - Jun 2024 · 2 yrs 1 mo

    •Established an Amazon CDK Pipeline for automated build processes and played a key role in designing, developing, testing, and deploying APIs and microservices using cloud-native technologies. •multiple global deployments, ensuring uniform updates across regions, and successfully resolved high priority customer tickets during primary on-call responsibilities. •Development and execution of a robust testing framework for Amazon AppStream 2.0, optimizing manual efforts by 80% from 2.5 days to 5 hours using Java, Spring Framework, DynamoDB, and TestNG.

  • Software Developer at DBS Bank
    Apr 2019 - Dec 2020 · 1 yr 9 mos

    •development of microservices for DBS HK, orchestrating the seamless handling of 2 million transactions through agile methodologies. •REST API for Customer Onboarding, revolutionizing task resolution efficiency by slashing employee time by 70%.. •Implemented Apache Kafka confluent distribution as a robust messaging and streaming solution, amplifying data processing capabilities.