This is a high-end, professionally structured README.md designed to impress recruiters by highlighting technical proficiency, domain impact, and engineering best practices.

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🌪️ disaster-data-replicator

Bridging the gap between climate events and actionable insights through automated, high-fidelity data engineering.

disaster-data-replicator is a production-grade ETL pipeline designed to synchronize and normalize "Billion-Dollar Disaster" data. By orchestrating data from the National Weather Service (NWS) and FEMA APIs, this tool provides a unified view of climate-driven economic impacts, enabling researchers and developers to analyze disaster trends with precision.

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💡 Key Features

• 🔄 Multi-Source Synchronization: Seamlessly merges NOAA Billion-Dollar Disaster datasets with real-time FEMA disaster declarations.
• 🛠 Automated ETL Pipeline: Handles data extraction, schema normalization, and validation without manual intervention.
• 📉 Intelligent Rate Limiting: Built-in backoff algorithms and request throttling to respect NWS and FEMA API constraints.
• 🧪 Data Integrity: Uses Pydantic for strict schema enforcement, ensuring that inconsistent API responses don't break downstream analytics.
• 📂 Flexible Export: Supports high-performance output formats including Parquet (for Big Data), CSV, and JSON.

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🛠 Tech Stack

Category	Tools
Language
Data Handling
APIs	noaa-api, fema-data-api, requests
DevOps
Domain	Climate Change, Disaster Management, Data Engineering

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🏁 Quick Start

Prerequisites

• Python 3.9+
• API keys for NOAA/FEMA (if required for higher rate limits)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/disaster-data-replicator.git
   cd disaster-data-replicator

2. Set up a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

Usage

Run the full replication pipeline:

python main.py --start-year 2000 --output-format parquet

Sync specific agency data:

# Sync only FEMA disaster declarations
python scripts/sync_fema.py --region "FL"

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📊 Project Architecture

graph LR
    A[NOAA NWS API] --> E[Ingestion Engine]
    B[FEMA API] --> E
    E --> F{Normalization}
    F --> G[Validation/Pydantic]
    G --> H[(Local Storage / S3)]
    H --> I[Analytics & Visualization]

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🤝 How to Contribute

Contributions make the open-source community an amazing place to learn, inspire, and create.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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📄 License

Distributed under the MIT License. See LICENSE for more information.

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📧 Contact

Your Name - @YourTwitter - your.email@example.com

Project Link: https://github.com/yourusername/disaster-data-replicator

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This project was developed to provide transparent access to climate-related economic data, supporting the global effort to understand and mitigate the impacts of climate change.