Raymond Nivar
************@*****.*** • 908-***-**** • Secret Clearance
SUMMARY
Highly skilled software test engineer with expertise in programming languages, testing, and automation tools. Proven experience in leading change review board meetings, collaborating with cross-functional teams, and driving software development through meticulous testing and documentation. Possesses Secret Clearance and certifications in Associate Cloud Engineer and AWS Cloud Practitioner. Strong understanding of software development life cycles and proficient in a range of tools and technologies including but not limited to CI/CD, and SDLC. Excellent communication and leadership skills, with experience in leading meetings and collaborating with stakeholders.
EDUCATION
Kean University Union, NJ
M.S. in Computational Mathematics Aug. 2014 – May 2019 B.S. in Computational Mathematics Aug. 2014 – May 2018 SKILLS
Programming Languages: Python, JavaScript, HTML, CSS, SQL Testing: Functional, Performance, Requirements, and Regression Testing, API Tools (JIRA – Zephyr Scale, Kanban Board), Automation (Squish, Eggplant, EyeAutomate, Sikuli) Tools: Jira, Confluence, Git, Agile SDLC, Kanban Board, CI/CD, PyCharm, VSCode, MySQL, PostgreSQL, SQLite, Docker, Sublime, Flask, EJS, Express
Certifications: Associate Cloud Engineer Certified, AWS Certified Cloud Practitioner PROFESSIONAL EXPERIENCE
Naval Surface Warfare Center Dahlgren, Virginia
Software Test Engineer Sept. 2019-Feb. 2024
Key contributor in the development of a 40+ year GPS software project, playing a crucial role in ensuring software quality through rigorous System Testing and Requirements Testing.
Facilitated weekly Change Review Board meetings, addressing software bugs and features, demonstrating leadership and effective communication.
Anticipated client needs through meticulous documentation, testing, and participation in group meetings.
Supported System Administrator with software/hardware-related tasks, including installing drives and OS, and managing software/hardware procurement.
Collaborated with a separate internal department to enhance GUI, Unit, and Regression testing by evaluating and recommending test automation software.
Automated test procedures using Squish, facilitating issue discovery, providing root cause analysis for developers, and implementing image-based testing approaches. PROJECTS
Pollen Data Manager Website August 2024 – Present
Developed a scalable Flask-powered web application to facilitate querying and management of SQL database pollen data. Focused on creating a modular codebase for enhanced maintainability and scalability, with seamless integration of database connections and user-friendly routing. Designed a dynamic dropdown menu feature to allow efficient user interaction and retrieval of query results. Leveraged Git for effective version control, conflict resolution, and collaboration via GitHub. Currently exploring automated testing frameworks like Pytest for backend reliability and/or Selenium for comprehensive UI testing. Join Us Website April 2024
Designed and developed a scalable and dynamic website utilizing Node.js as a frontend mediator (JavaScript, HTML, CSS) while integrating MySQL for back end. Ensured data consistency through effective database design and implementation. Leveraged EJS templating for content rendering and managed POST and GET requests. Applied CSS styling for a visually appealing aesthetic and responsive UX. Radial Velocity Analysis of Extrasolar Planets July 2018 – May 2019 Employed C programming language to create predictive models of exoplanets and their orbits, using Keplerian equations and computational methods to test predictions and determine orbital uncertainties. World Of Data Sept. 2016 – April 2017
As a team member developed 3D-data visualization tools using virtual reality technology to display and analyze large data sets for multi-dimensional structured and unstructured, scatter and quiver plot, 2D and 3D surface display & analysis. Created a user-friendly interface as a means of interacting with virtual environments.