Have you had experience performing data transformation in JSON format?

Yes, experience with data transformation in JSON format is often encountered in testing and automation.

JSON transformation can include:

• Parsing JSON strings into objects for value verification.
• Modifying or filtering data within JSON.
• Serializing objects back into JSON for API transmission.

An example in Python, where specific fields are selected from JSON:

import json

json_data = '{"user": {"id": 1, "name": "Ivan"}, "active": true}'
parsed = json.loads(json_data)
user_name = parsed['user']['name']
print(user_name)  # Outputs: Ivan

This approach helps validate and process data in tests and automation scripts.