Results-driven Full-stack Software Engineer with over 4 years of experience developing scalable, high-performance web applications. Proficient in Java, Python, Django, React, Node.js, Spring Boot, Hibernate and cloud solutions like AWS.
Skilled in building dynamic front-end interfaces and designing scalable backend services. Strong expertise in optimizing database performance, including query optimization, indexing, and scaling systems to handle large datasets.
Notable achievements include reducing database load times by 30%, improving query performance, scaling systems from 50K to 300K daily calls, and successfully migrating over 3.5 million product images to a centralized, microservice-based storage system, reducing operational costs by 15%.
Proficient in DevOps environments, optimizing Continuous Delivery pipelines and infrastructure changes with tools like Kubernetes, and Docker, ensuring efficient deployment and management of code using Git and Jenkins. Experienced in version control using Git, managing code repositories effectively to ensure code integrity, and skilled in using SVN and CVS for organizing versions and configurations.
Strong background in software testing, performing Unit and Integration testing, and creating test cases for web applications using JUnit and Python’s unittest framework to ensure high-quality, reliable software.
Remote: Open to remote opportunities
Willing to relocate: Yes
Technologies: Java, Python, C/C++, TypeScript, JavaScript, SQL, GraphQL, .NET, Spring Boot, Node.js, Django, REST API, Microservices, Hibernate, React, Angular, jQuery, MySQL, PostgreSQL, MongoDB, Redis, Firebase, AWS EC2, AWS Lambda, Docker, Kubernetes, Jenkins, Nginx, Git, Postman
Résumé/CV: https://docs.google.com/document/d/1tzlFGc3IZkdGvE3VH1GC9PAy...
Email: davejay1999@gmail.com
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Results-driven Full-stack Software Engineer with over 4 years of experience developing scalable, high-performance web applications. Proficient in Java, Python, Django, React, Node.js, Spring Boot, Hibernate and cloud solutions like AWS.
Skilled in building dynamic front-end interfaces and designing scalable backend services. Strong expertise in optimizing database performance, including query optimization, indexing, and scaling systems to handle large datasets.
Notable achievements include reducing database load times by 30%, improving query performance, scaling systems from 50K to 300K daily calls, and successfully migrating over 3.5 million product images to a centralized, microservice-based storage system, reducing operational costs by 15%.
Proficient in DevOps environments, optimizing Continuous Delivery pipelines and infrastructure changes with tools like Kubernetes, and Docker, ensuring efficient deployment and management of code using Git and Jenkins. Experienced in version control using Git, managing code repositories effectively to ensure code integrity, and skilled in using SVN and CVS for organizing versions and configurations.
Strong background in software testing, performing Unit and Integration testing, and creating test cases for web applications using JUnit and Python’s unittest framework to ensure high-quality, reliable software.