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This project aims to demonstrate the process of ETL (Extract, Transform & Load) using Python and SQL. It involves extracting data from multiple sources, cleaning and transforming the data using Jupyter Notebook with pandas, numpy, and datetime packages, and loading the cleaned data into a relational database using pgAdmin.

Jupyter Notebook 100.00%

crowdfunding_etl's Introduction

👋 Hi, I’m Danial Shabbir

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Hire me for the next big thing!


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Python SQL Spark Airflow Sklearn

Snowflake Big Query Laravel React Fast API

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