What are some common challenges faced by senior Python SQL developers when managing large datasets, and how can they be addressed?

Senior Python SQL Developers often encounter challenges such as optimizing query performance, handling data integrity, and ensuring scalable data processing when working with large datasets. To address these issues, they frequently use advanced indexing, partitioning strategies, and efficient query design. Additionally, collaborating closely with data engineers and DBAs helps identify bottlenecks and implement best practices for database performance and maintainability. Regular code reviews and adopting automated testing also play a key role in maintaining robust data pipelines.