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You are a data engineer tasked with preparing data for a retail analytics project. The sales data is structured but contains sensitive information like customer payment details. Your team needs to ingest this data into BigQuery while ensuring privacy and compliance by masking sensitive fields. What is the most efficient and compliant approach for loading this data into BigQuery?