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An Automated data pipeline using "Apache Airflow" performing "ETL" on RAW data using "Pandas" library then stage data into "PostgreSQL" then process it distributed cluster and parallelly using "Spark" and loaded final useful data into "ElasticSearch" NoSQL DB warehouse

Jupyter Notebook 26.45% Python 73.55%
spark postgresql elasticsearch pandas kibana sql nosql datapipeline etl data-engineering

escooter-data-pipeline's Introduction

  • 👋 Hi, I’m Sanket Sanap
  • 👀 I’m interested in Big Data, Data Science, Data Engineering and Cloud applications
  • 🌱 Pursuing Master of Science in Data Architecture and Management
  • 📫 Reach me at [email protected]

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