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Retail data analysis pipeline utilizing AWS S3, Snowflake, Python, SQL, and Tableau. It demonstrates data transformation and setup in Jupyter Notebook, integrates real-time retail insights via an automated Tableau dashboard with Snowflake, and employs a CRON job in Jupyter Lab connected to Amazon SQS for consistent data updates.

Jupyter Notebook 99.18% PLpgSQL 0.82%
aws-s3 awssqs cronjob jupyter-notebook plpgsql snowflake snowpipe sql tableau

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