When Pipelines Fail Early: Type-Safe Data Engineering in Scala

​What if your data pipeline could get rejected by the compiler before it even runs? Think: config chaos that never compiles, schema drift caught right in the middle, side-effects tamed before they wreak havoc.

In this 45-minutes, you’ll glimpse:

• ​A builder that fails to compile if you forget a contract or a sink,

• ​An orchestrator where effects respect fiber safety, and Spark transforms stay pure,

• ​A scaffold that won’t generate boilerplate until your types align,

• ​Runners for Spark, Flink, Kafka—swapped by trait, not rewrite,

​ Just a taste of what's possible when scala’s functional toolkit is your guardrail. Attend, be surprised; leave with patterns you’ll wish your current pipelines had.