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You are a data scientist at a global retail company tasked with building a multilingual customer feedback system. The goal is to use Amazon Translate to convert customer reviews from multiple languages into English for sentiment analysis. The feedback data is stored in an Amazon S3 bucket, and your application processes thousands of reviews daily. To ensure scalability and low latency, which approach is MOST SUITABLE for building this translation pipeline?