S3
Show where S3 affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.
CAREER PROJECT · Intermediate · 1–2 weekends
AWS Event-Driven Image Pipeline
Process uploaded images with S3 events and Lambda while handling permissions and failures.
S3LambdaEventsIAMObject storage
WHAT THIS PROJECT PROVES
Make the engineering visible.
This brief is designed as portfolio evidence for a Cloud / AWS Engineer path. The goal is not to claim a hiring outcome; it is to make your implementation, judgment and tradeoffs easier to inspect.
Lambda
Show where Lambda affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.
Events
Show where Events affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.
IAM
Show where IAM affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.
Object storage
Show where Object storage affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.
BUILD PLAN
Finish the core before expanding the scope.
Use this as a project sequence, not a rigid tutorial. Your stack can change; the evidence should still show what you built, why you built it that way and how you know it works.
Define the scope and success criteria
Turn the brief into a small finishable system. Decide what the core AWS Event-Driven Image Pipeline must do, what you will deliberately leave out, and how you will show that it works.
Build the core workflow
Process uploaded images with S3 events and Lambda while handling permissions and failures. Keep the first pass focused on the main user or system flow before adding stretch features.
Add engineering proof
Create upload demo and processed outputs. Document the decisions, failure states, tests, performance, security or operational tradeoffs that matter for this project.
Ship and package the evidence
Publish the strongest artifacts, including event diagram, failure logs, cost estimate. Make it easy for a reviewer to understand the problem, architecture, tradeoffs and what you personally implemented.
PORTFOLIO PROOF CHECKLIST
Leave artifacts a reviewer can inspect.
A strong project page should make it possible to understand the system without guessing what you personally built.
01
Upload demo
02
Processed outputs
03
Event diagram
04
Failure logs
05
Cost estimate
06
A concise README explaining the problem, architecture and tradeoffs
07
A working demo, API example or reproducible run path
08
Evidence of testing, monitoring, performance, accessibility or reliability where relevant
RESUME / PORTFOLIO FRAMING
Describe what you actually did.
Built an event-driven image processing pipeline using S3 triggers, Lambda automation and scoped IAM permissions.
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.
INTERVIEW TALKING POINTS
Be ready to defend the decisions.
These prompts turn the project from a repository link into a technical conversation about judgment, tradeoffs and evidence.
Why did you choose your approach to S3, and what alternative did you reject?
Answer with details from your implementation. Prefer concrete constraints, measurements and alternatives over generic best practices.
Where could AWS Event-Driven Image Pipeline fail under real usage, and how would you detect or recover from that failure?
Answer with details from your implementation. Prefer concrete constraints, measurements and alternatives over generic best practices.
How did Lambda affect the rest of the design?
Answer with details from your implementation. Prefer concrete constraints, measurements and alternatives over generic best practices.
What did you measure or test to prove Object storage instead of only claiming it?
Answer with details from your implementation. Prefer concrete constraints, measurements and alternatives over generic best practices.
If you had one more week, what would you improve first and why?
Answer with details from your implementation. Prefer concrete constraints, measurements and alternatives over generic best practices.
STRETCH GOALS
Go deeper only after the core is solid.
Step Functions
Add it only if it strengthens the engineering story instead of delaying a finished, deployable core.
DLQ
Add it only if it strengthens the engineering story instead of delaying a finished, deployable core.
Image metadata index
Add it only if it strengthens the engineering story instead of delaying a finished, deployable core.
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