Author
Ihor Seleznov
5 posts
Leveraging PyTest for Data Quality Checks Directly within Databricks
A practical, example-driven guide to writing PyTest-based data quality checks inside Databricks notebooks, covering bronze-to-silver validation, edge cases, fixtures, and error handling for reliable pipelines.
Ihor SeleznovReadHow QA Engineers Can Use Databricks Repos for Better Test Automation Workflows
Learn how QA and data engineering teams move beyond ad-hoc notebooks to scalable, version-controlled test automation using Databricks Repos, covering repo structure, modular tests, and team collaboration workflows.
Ihor SeleznovRead3 Ways To Run Automated Tests On Azure DevOps
'Bugs are everywhere', you think, trying to fill the water bank on your office's coffee machine, but the situation changes since the manager continues with 'WE HAVE A BUG IN PRODUCTION!'.
Ihor SeleznovReadThe Effects Of Cypress Component Testing On Your React App
A good project needs a solid quality check, and teamwork among different experts, like developers and automation engineers, helps keep the product stable and reduces fixing costs after release.
Ihor SeleznovReadCreate A Wide Configuration For Running Cypress In GitHub Actions!
Configure Cypress tests with GitHub Actions for flexible environments, browsers, and resolutions. Integrates cleanly into CI/CD pipelines for team-wide accessibility and efficient testing workflows
Ihor SeleznovRead