Interview
summary
Built a data pipeline called Network Health Visualizer that collects latency, connectivity and config-change metrics from internal networks, exposes them through a GraphQL API and a visual querying component for programmatic and exploratory use. Implementation uses Scala and targets stream processing patterns (pub/sub, lambda-style execution) while chasing exactly-once semantics. Focus is on improving type-system ergonomics and developer UX so on-call decisions become faster, fairer and less error prone.
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