End-to-End-Data-Pipeline

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๐Ÿ“ˆ A scalable, production-ready data pipeline for real-time streaming & batch processing, integrating Kafka, Spark, Airflow, AWS, Kubernetes, and MLflow. Supports end-to-end data ingestion, transformation, storage, monitoring, and AI/ML serving with CI/CD automation using Terraform & GitHub Actions.

  • .dockerignore
  • .editorconfig
  • .env.example
  • .gitignore
  • .prettierignore
  • .prettierrc
  • api.sh
  • ARCHITECTURE.md
  • CITATION.cff
  • data_pipeline_setup.sh
  • DEPLOYMENT_STRATEGIES.md
  • docker-compose.ci.yaml
  • docker-compose.lite.yaml
  • docker-compose.yaml
  • End_to_End_Data_Pipeline.ipynb
  • index.html
  • LICENSE
  • Makefile
  • pyproject.toml
  • QUICK_START.md
  • README.md
  • requirements.txt
  • serve_wiki.py
// repository documentation