[FEATURE]: JSON Validation Checks

[ghanse]

Is there an existing issue for this?

• I have searched the existing issues

Problem statement

Validating ingested JSON is a common requirement for many ETL scenarios. Deserialization and other downstream processing are often broken when JSON is malformed or missing expected fields

Proposed Solution

Add several built-in check functions to validate JSON strings:

• is_valid_json to detect the validity of a JSON string
• has_json_keys to detect if 1 or more keys are present in a JSON string
• has_json_schema to detect if a JSON string matches an expected Spark DDL schema

Additional Context

No response

[cornzyblack]

Hi @ghanse, I'd like to work on this