Overview
This skill path equips learners with ELT testing fundamentals and automation practices using Databricks. Covering Python, SQL, test frameworks like Great Expectations and Nutter, it teaches file handling, pipeline validation, performance testing, and test data management—preparing learners to build robust, scalable, and automated data testing workflows in modern data platforms.
Skill path
1
MasterclassELT Testing Fundamentals
general
approach
quality
data-understanding
databricks
sql
python
02h 15m
2
ScenarioELT Testing Fundamentals Hands On
general
approach
quality
data-understanding
databricks
python
sql
01h 30m
3
MasterclassPython Foundations for Test Automation
general
programming
data-wrangling
python
01h
4
ScenarioFile Integrity and Data Quality in Databricks
general
approach
quality
data-understanding
data-quality
python
01h
5
ScenarioJSON Validation and Testing in Azure Databricks ETL Pipelines
general
approach
quality
data-understanding
python
01h
6
ScenarioData Validation & Testing for Excel Pipelines using Python
general
approach
quality
python
01h
7
ScenarioData Transformation, Field Mapping and Aggregation Testing
general
approach
quality
data-understanding
data-quality
data-wrangling
databricks
python
01h
8
ScenarioFrom SQL Validation to Production-Ready ELT Test Automation
general
approach
quality
data-understanding
data-quality
databricks
python
sql
01h
9
ScenarioDatabase Handling ELT Testing Masterclass
general
approach
quality
data-quality
data-wrangling
problem-understanding
sql
python
databricks
01h
10
ScenarioELT Performance Testing in Databricks
general
approach
quality
data-understanding
data-wrangling
python
databricks
01h
11
ScenarioBuilding Resilient ELT Pipelines Using Integration Testing
general
approach
quality
data-wrangling
data-quality
sql
python
databricks
01h