Integration is a data-model problem first
Two systems rarely agree on what a “customer” or a “product” is. Before writing a line, we map the entities, decide which system owns each field and what happens on conflict. Most integration failures come from skipping this step.
Designed to fail safely
Networks drop, APIs rate-limit, fields arrive empty. Our pipelines assume all of it: idempotent writes, retries with backoff, dead-letter queues and alerts. When something needs a human, it becomes a task with context, not a silent gap.
Documented so it survives us
Every integration ships with a map of what flows where, the rules applied, and how to pause, replay or extend it. Your team — or the next vendor — can maintain it without reverse engineering.