The prevalence of glue code in feature engineering pipelines poses many problems in conducting high-quality, scalable research. In worst-case scenarios, the technical debt racked up by overgrown “pipeline jungles” can preclude further development and grind promising projects to a halt [1]. This talk will show how the FeatureTransforms.jl package can help make feature engineering a more sustainable practice for users without sacrificing the flexibility they desire.