01
Stream pipeline
Make this concrete enough that another engineer can understand what you built and why.
CAREER PROJECT · Advanced · 2–3 weekends
Streaming Events Analytics
Process event streams into near-real-time aggregates and expose freshness and lag metrics.
StreamingSQLPipelinesDashboardsObservability
DEFINITION OF DONE
Leave artifacts a reviewer can inspect.
02
Live dashboard
Make this concrete enough that another engineer can understand what you built and why.
03
Lag metrics
Make this concrete enough that another engineer can understand what you built and why.
04
Architecture diagram
Make this concrete enough that another engineer can understand what you built and why.
05
Failure test
Make this concrete enough that another engineer can understand what you built and why.
RESUME / PORTFOLIO FRAMING
Describe what you actually did.
Built a streaming analytics pipeline with near-real-time aggregates, lag monitoring and documented failure handling.
Use this as a starting structure, then replace it with your real implementation details, metrics and constraints. Do not claim outcomes you did not measure.
STRETCH GOALS
Go deeper if the core is already solid.
Exactly-once design
Add only if it strengthens the engineering story instead of delaying a finished, deployable core.
Schema registry
Add only if it strengthens the engineering story instead of delaying a finished, deployable core.
Replay tooling
Add only if it strengthens the engineering story instead of delaying a finished, deployable core.