A modular data pipeline for efficient data processing.
Project description
🌌 CosmicLode
CosmicLode is a modular data pipeline framework designed for efficient, scalable, and transparent data processing. It supports database-agnostic connections, column-level profiling, and metadata visualization — all in a Pythonic package built for modern data engineers.
🚀 Features
- 🔌 Pluggable database connectors returning
pandasDataFrames - 📊 Column-level profiling with historical snapshot support
- 📈 Data quality dashboards using lightweight visualizations
- ⚙️ Modular design for reuse across workflows
- 🧪 Built-in unit testing with
pytest
📦 Work in Progress Modules
| Module | Description |
|---|---|
db_connector |
Unified interface to connect and query any database |
data_profiler |
Generate & store profiling snapshots over time |
profiler_viz |
Streamlit or Dash-based UI for data quality monitoring |
📌 Tech Stack
- Python 3.10+
- SQLAlchemy, Pandas
- Poetry for dependency management
- Pytest for testing
- Streamlit/Dash for visualizations (planned)
📝 License
This project is licensed under the MIT License.
✨ Author
Vinod Yerrapureddy
📧 yerrapureddyvinodreddy@gmail.com
🌐 vinodreddy.netlify.app
🔗 LinkedIn
🍥 Anime fan | 💻 Data engineer | 🛠️ Systems hacker
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