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Weather Data Pipeline

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Vijay Kumar Singh
Project AWS S3 API Python CloudWatch Automation DevOpsAllStarChallenge
Vijay Kumar Singh
Author
Vijay Kumar Singh
DevOps & Cloud Explorer skilled in CI/CD, cloud automation and monitoring. Experienced in building scalable solutions and streamlined workflows.
Table of Contents

Project Overview
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Built a weather data pipeline that collects, processes, and stores real-time weather metrics in AWS S3. Designed for developers and data teams, this scalable solution automates raw data ingestion from weather APIs, standardizes formats for analytics, and securely archives datasets in the cloud. While currently backend-focused, the architecture leaves room for future expansion—like dashboards or ML models—without locking you into one path.

Architecture
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Weather Data Pipeline

Hands-On Experience
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  • Built a Python ETL pipeline with error handling
  • Automated S3 uploads using boto3 with folder partitioning by date/region
  • Implemented environment-variable security for API keys and AWS credentials
  • Optimized storage costs using S3 lifecycle policies (e.g., moving old data to Glacier)

Tech Stack
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  • Languages: Python
  • Cloud: AWS S3, IAM, CloudWatch (logging)
  • Automation: Cron-job

Project Links #


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