Developer Builds Serverless AWS Weather Pipeline Using CDK, Step Functions, and OIDC

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A developer has published a detailed walkthrough of building a fully serverless weather data pipeline on AWS, targeting users with basic AWS familiarity but no prior CDK or Step Functions experience. The pipeline runs every 10 minutes, triggered by EventBridge Scheduler, which launches a Step Functions workflow that fetches current weather data for five cities in parallel from a free public API. Fetched data is transformed into JSON Lines format and stored in a partitioned layout on S3, then made queryable via Athena using Glue partition projection — eliminating the need for a crawler. The entire infrastructure is deployed through GitHub Actions using GitHub's OIDC provider, meaning no AWS access keys are stored in the repository at any point. The project serves as a practical, end-to-end demonstration of six AWS services working together, with each service handling a single, well-defined responsibility.

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