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extract-transform-load

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This project demonstrates how to build and automate an ETL pipeline using DAGs in Airflow and load the transformed data to Bigquery. There are different tools that have been used in this project such as Astro, DBT, GCP, Airflow, Metabase.

  • Updated Jul 13, 2024
  • Python

Developed a Streamlit application for analyzing transactions and user data from the Pulse dataset. Explored data insights on states, years, quarters, districts, transaction types, and brands through EDA. Visualized trends and patterns using plots and charts to optimize decision-making in the Fintech industry.

  • Updated Jan 22, 2024
  • Python

This Twitter ETL project is aimed at providing data to support UN SDG number 16. The project is directed at providing data to generate actionable insights to stakeholders; regarding the 2022 Presidential Elections, Police Brutality, and Propagation of Hate Speech on Twitter

  • Updated Feb 3, 2024
  • Python

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