I specialize in building clean, testable systems that ensure data reliability from day one. My work focuses on designing automation frameworks and pipelines that validate, clean, and report on data with precision. Whether it’s catching schema drift in APIs, cleaning messy CSVs, or generating visual reports for stakeholders, I build tools that don’t just find problems, they make it clear how to fix them.

With expertise in Python, pandas, APIs, and CLI development, I turn manual, error-prone QA tasks into streamlined automation. My projects have included real-time API validation frameworks, CLI tools for cleaning large datasets, and dashboards that transform raw data into actionable insights. The result is faster releases, fewer production issues, and greater confidence in the data driving business decisions.

CORE SKILLS:

Languages & Tools:

• Python, SQL, Bash, Java, JavaScript

Testing & QA:

• Test Automation, API/Contract Testing (Postman), Data Validation, Schema Testing, Functional & Regression Testing, TDD, BDD (Behave, Cucumber/Gherkin), Exploratory Testing, Performance Testing (JMeter, Locust), Test Case Management (TestRail, Zephyr, JIRA Xray)

Frameworks & Libraries:

• pytest, Selenium, Playwright, Cypress, pandas, NumPy, matplotlib, jsonschema, argparse, requests

DevOps & CI/CD:

• Git, GitHub, GitHub Actions, Jenkins, Azure DevOps, CircleCI, Docker, Docker Compose, Kubernetes, Debugging & Logging, Static Analysis (flake8, pylint, SonarQube)

Cloud & Infrastructure:

• AWS (S3, Lambda, RDS), Terraform (IaC)

Databases:

• SQLite, MySQL, PostgreSQL, MongoDB

Practices:

• Shift-Left Testing, Risk-Based Testing, Test Case Design, API Documentation (Swagger/OpenAPI), Agile (Scrum)

PROJECTS:

API Data Validation Tool | https://github.com/rylub/api_data_validation

Built a CLI framework to validate real-time cryptocurrency data from public APIs.