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There could be various reasons why Azure Data Factory data flow is unable to read a JSON object because of a null value, some of which are:

1. Invalid JSON format: If the JSON object is not in the correct format, with missing or incorrect key-value pairs, it could lead to null values being returned by the parser.

2. Improper schema mapping: If the schema mapping for the JSON object is incorrect, with missing or wrong fields, it could result in null values being returned.

3. Missing or incomplete data: If the JSON object has missing or incomplete data for any of the fields, it could lead to null values being returned.

4. Data type mismatch: If the data type of any of the fields in the JSON object is different from the one specified in the schema, it could lead to null values being returned.

To resolve the issue, you can try validating the JSON object, correcting the schema mapping, ensuring that all data fields are populated, and ensuring that the data types match the schema.