Project Overview #
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 #
Hands-On Experience #
- 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 #
- Languages: Python
- Cloud: AWS S3, IAM, CloudWatch (logging)
- Automation: Cron-job
Project Links #
A Python-based solution that fetches real-time weather data from the OpenWeather API and stores it in AWS S3 for analysis and visualization.
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