LLMs have long outgrown their role as mere chatbots. They are opening up new possibilities in automated data processing. This talk explores how LLMs, as Gemini, can be integrated into ETL workflows for intelligent transformation, enrichment, translation, and generation, especially in multilingual use cases. It addresses common challenges such as reproducibility, deterministic outputs, pipeline robustness, and seamless integration into existing ETL processes. Best practices will also be shared to ensure that LLMs are deployed in a stable, efficient, and maintainable way within production-grade data pipeline