Implement narrow transformations like select, filter, and where extensively, as they operate on single partitions without causing data shuffling.

Limit the use of wide transformations such as groupBy, join, and agg to essential operations only, since they require data shuffling across partitions.

Apply the persist() or cache() methods to intermediate datasets to speed up access times, though this does not directly reduce data shuffling.

Increase the number of partitions using the repartition() method for each transformation to distribute the workload more evenly, potentially at the cost of increased shuffling.