Use a batch processing approach and store the data in a temporary storage before cleansing.

Implement a custom deserialization logic to handle the corrupted data points.

Use the built-in 'IS NULL' condition in the SELECT statement to filter out null or missing values.

Leverage the built-in 'WHERE' clause to apply a range filter based on the expected temperature values.