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Natural Language to SQL Query Architect

Business analysts and data consumers who need ad-hoc answers from complex data warehouses must translate ambiguous natural language questions into correct, optimised SQL — a task complicated by schema complexity, dialect differences, and hidden business logic embedded in table relationships.

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