A data engineering team is designing a data lake to store large volumes of historical sales data that will be queried mainly for analytical aggregations, such as summing revenue across millions of rows for specific columns. They want a file format that supports efficient columnar compression and reduces the amount of data scanned during column-based queries. Which file format best meets these requirements?