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Table of Contents
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- About The Project
+ About The Project
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Architecture
- - Data Quality & Validation
+ - Data Quality & Validation
- Outputs
- Roadmap
- License
- - Connect With Me
+ - Connect With Me
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---
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# About The Project
This project simulates a **banking transaction data pipeline** using **Python + Apache Spark** with an **S3-backed data lake**.
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## **Tech Stack:** Python, PySpark, Apache Spark, S3 storage
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### Key Features
- **Batch ingestion** of banking-style transaction data into an S3-backed Bronze layer
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# Architecture
The pipeline follows a lakehouse pattern where each layer has a clear responsibility.
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## Bronze (Raw)
**Purpose**
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## Silver (Clean & Validated)
**Purpose**
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## Gold (Curated & Analytics-Ready)
**Purpose**
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# Data Quality & Validation
The pipeline applies checks to prevent bad data from reaching curated datasets.
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## Outputs
**Example S3 layout:**
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## Roadmap
- Add orchestration (Airflow / Dagster)
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- Add CDC-style ingestion simulation
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## License
Distributed under the MIT License. See [LICENSE.txt](https://git.camcodes.dev/Cameron/Data_Lab/src/branch/main/LICENSE.txt) for more information.
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## 💬 Connect With Me