Global Alliant Inc

• Design, implement, and maintain data pipelines using AWS services • Collaborate with cross-functional teams to optimize data processes and analytics • Analyze and optimize database performance and query efficiency • Create documentation and provide support for data-related issues

• Define and execute an automation-first QA strategy with Cypress • Establish and enforce QA standards, test processes, and best practices across Agile teams • Lead quality initiatives across multiple Scrum teams, focusing on defect prevention and release confidence • Act as the primary quality advocate during sprint planning, backlog refinement, and release readiness • Design, build, and maintain scalable Cypress automation frameworks for testing • Integrate Cypress test suites into CI/CD pipelines using Jenkins and Docker • Oversee manual testing activities including exploratory testing, regression validation, and UAT • Ensure applications meet Section 508 / WCAG accessibility requirements • Collaborate closely with developers, product owners, and program leadership • Define and track quality metrics including Cypress automation coverage, defect trends, and test execution reliability

• Successfully complete drug screening and pre-employment background investigations with results allowing for continued consideration for employment • Work on full stack development projects using DevOps and AWS cloud environments • Work collaboratively with teams to deliver high-quality software solutions • Approach application development with a focus on best practices and Agile delivery methodology • Contribute to deployment and architecture of enterprise big data applications on AWS • Ensure adherence to security protocols and requirements for federal contracts • Participate in team meetings and communicate effectively with stakeholders

• Responsible for user and product documentation • Responsible for business process mapping • Responsible for being the synergy between the business and the development side of the project • Plan, lead, and execute User Acceptance Training (UAT) with business owners

• Design, code, and maintain applications and data processing solutions using Java, Kotlin, Scala, and Apache Spark. • Design and implement data loading and transformation for large datasets. • Process data in various formats and compression codecs. • Use Spark SQL, DataFrames, and Datasets for efficient data manipulation and querying within Spark applications. • Optimize Spark applications, including tuning configurations, managing memory, and fine-tuning data serialization and task partitioning.

• Gather requirements via bi-weekly touchpoint sessions with business owners • Write user stories via Jira • Facilitate Product Owner review for accuracy and acceptance • Responsible for documentation • Map business processes • Collaborate between business and development team • Execute User Acceptance Training (UAT) with business owners

• Support applications in the AWS cloud • Responsible for the development, testing, and maintenance of automation scripts, infrastructure tools, DSLs CI/CD pipelines utilizing Ruby and related technologies.