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A financial-services SaaS has fct_transactions on Iceberg partitioned by transaction_date and cluste

A medium Pipeline Design interview practice problem on DataDriven. Write and execute real pipeline design code with instant grading.

Domain
Pipeline Design
Difficulty
medium

Problem

A financial-services SaaS has fct_transactions on Iceberg partitioned by transaction_date and clustered by customer_id, with 600 days of data. A fraud audit filters by date and a customer-statement query filters by customer_id; both predicates should push down to storage. The canvas has the table and the two consumers but no engine. Apply the section's pushdown framing and add the missing piece so the four pruning levels execute.

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Solve this Pipeline Design problem with real code execution. DataDriven runs your solution and grades it automatically.

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