AWS pipeline foundations
Healthcare Cloud Data
Understand the major pieces of a cloud data pipeline, including object storage, streaming ingestion, query services, and dashboard reporting.
What this bullet means
The employer wants someone ready to learn AWS architecture end to end and explain how records move from ingestion to reporting.
Sample app idea
Cloud Pipeline Architecture Notes page that maps object storage, event delivery, SQL querying, dashboard reporting, and deployment steps.
Main build outline
- Draw a simple architecture table for object storage, streaming delivery, SQL query layer, and dashboard reporting.
- Map the local sample app to AWS concepts such as S3, Firehose, Athena, and QuickSight without requiring live cloud credentials.
- Add configuration notes that keep cloud account details and secrets out of the repository.
- Document how a CI/CD pipeline would build, test, and deploy the internal tool.
- Include a scaling note explaining how millions of records change design decisions.
Portfolio proof
- Architecture note mapping local sample components to S3, Firehose, Athena, and QuickSight concepts.
- CI/CD checklist or sample workflow documentation.
- Secret-safety note confirming cloud credentials stay outside Git.
Minimal documentation
- README with the business problem, screenshots, setup notes, and technology stack.
- One requirements note that maps the job bullet to the sample feature.
- One test plan note with happy path, validation, and edge case checks.
- One honest portfolio note that says this is self-directed practice, not employer work.
Modern .NET stack
- Blazor Server or ASP.NET Core Razor Pages.
- C# services with validation and dependency injection.
- SQL Server locally, then SmarterASP SQL Server or Azure SQL.
- Optional Azure App Service, GitHub Actions, Docker, and AI helper feature.