Your team is engaged in numerous ML projects for an international consulting firm that requires handling large datasets across different cloud environments. Management has opted to store the majority of data for ML models in BigQuery, citing its ease of preprocessing and transformations with standard SQL, along with its structured nature offering efficiency, integration, and security. Given the need to develop and adjust code for direct BigQuery data access across various modeling environments, including TensorFlow and Dataflow, and considering the constraints of multi-cloud accessibility and the need for efficient data processing, which tools would you utilize? (Select 3 options)