Kutlwano-Take/africlimate-analytics-lake

Serverless data lake on AWS for African climate analytics using Digital Earth Africa CHIRPS rainfall data # AfriClimate Analytics Platform Production-style climate intelligence dashboard for African rainfall analytics, built to showcase end-to-end data engineering, serverless cloud architecture, and decision-ready analytics. ## Live Product - Production URL: `kutlwano-take-africlimate-a…` - Runtime: Dash on Vercel serverless functions - Primary data source: CHIRPS rainfall observations - Cloud architecture: S3, Lambda ETL, Glue Data Catalog, Athena, Dash ## Executive Summary AfriClimate Analytics Platform turns rainfall data into an interactive climate intelligence product aimed at governments, NGOs, researchers, and climate-risk teams. The application is designed as a modern SaaS-style dashboard rather than a classroom visualization, with emphasis on: - production-grade dashboard UX - serverless AWS data engineering - resilience through fallback data mode - clear storytelling around climate signals and anomalies - recruiter-facing presentation of cloud, backend, and analytics skills ## What The Platform Does - Surfaces rainfall trends, anomaly signals, drought pressure, and visible coverage areas - Lets users filter by region, time window, and drought condition lens - Presents insight-driven dashboard cards instead of raw charts alone - Explains the underlying cloud pipeline directly in the product experience - Highlights data freshness, live system status, and operational context ## Architecture The product is backed by a serverless analytics pipeline designed to keep infrastructure simple, scalable, and cost-aware. ```mermaid flowchart LR A[CHIRPS Climate Data] --> B[Amazon S3 Raw Zone] B --> C[AWS Lambda ETL] C --> D[Processed Storage Layer] D --> E[AWS Glue Data Catalog] E --> F[Amazon Athena] F --> G[Dash Analytics App] G --> H[Vercel Deployment] ``` ### Architecture Goals - Serverless by default: no always-on application servers or query infrastructure - Scalable analytics: schema-on-read querying through Athe …