Top 10 DataWeave Patterns Every MuleSoft Developer Needs

If you've spent any time writing MuleSoft integrations, you know the feeling: you're staring at a DataWeave transformation, the payload is nested three levels deep, half the fields are nullable, and your deadline was yesterday. I've been there. After building hundreds of integrations, I compiled the patterns I reach for most into an open-source repository of 80+ production-ready DataWeave patterns . Here are the 10 you'll use the most. 1. Filter by Condition The problem: You need to extract a subset of records — active users, in-stock products, orders above a threshold. The pattern: %dw 2.0 output application/json --- payload filter (employee) -> employee.active == true Shorthand alternative: payload filter $.active == true Simple, but critical. Every integration filters data. Using the $ shorthand keeps it concise when the predicate is straightforward. Full pattern with alternatives 2. GroupBy for Aggregation The problem: Your API returns a flat list of orders, but the downstream syst