Practical Testing Strategies for Databricks: A Software Engineer’s Journey into Data Engineering

By Isoeb Laghidze

February 2, 2026

Summary

Ioseb Laghidze, a Solution Consultant at Sahaj Software, shared practical strategies for implementing disciplined and reliable testing practices in Databricks-based data engineering projects.
Drawing from proven software engineering techniques, he demonstrated how data engineers can validate their pipelines more effectively by designing for testability from the ground up.
The talk covered modularizing PySpark transformations for effective unit testing, setting up containerized local environments using PySpark, Delta, and Kafka, designing integration tests that simulate real-world data flows, incorporating testing strategies into CI/CD pipelines, and building confidence in production-grade data pipelines.
Ioseb brought his background as a signal processing software engineer and experience in platform engineering and data engineering to help clients solve complex engineering challenges using technologies like Python, TypeScript, and C++.

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