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AutomationSTAR

Test Automation Conference Europe

Track Talk M9

Ensuring Data Integrity: Great Expectations + Python

Joan Esquivel Montero

16:50 - 17:35, Tuesday 11th November CET

In modern software projects, processing and transforming data between different systems or sources is a common challenge.

QA engineers are often responsible for ensuring these data pipelines function as expected. However, maintaining consistent regression tests for data integrity can become complex.

This session will demonstrate how Great Expectations with Python can be used to write test scripts that validate data against acceptance criteria. The presentation will offer a practical, hands-on approach to simplifying data testing and improving efficiency.

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What you will Learn

  1. Automated data validation.
  2. Reliable data pipelines.
  3. Proactive quality assurance.

Session Details

  • Introductory
  • 30mins
  • 15mins Q&A
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Speaker Session

Joan Esquivel Montero

ImagineX, Costa Rica

Joan Esquivel is a seasoned quality assurance engineer with over 7 years of software testing and automation expertise. Specializing in integrating Domain-Driven Design principles into QA practices, Joan has driven impactful testing strategies that align technical execution with business objectives. An advocate for knowledge-sharing, Joan creates tutorials and resources for a growing YouTube community and frequently speaks at conferences and workshops. His innovative approach to combining QA management with software architecture makes him a trusted voice in the industry, committed to helping teams deliver high-quality software efficiently.