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aws-glue-crawler

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The Project aims to establish a robust data pipeline for tracking and analyzing sales performance using various AWS services. The process involves creating a DynamoDB database, implementing Change Data Capture (CDC), utilizing Kinesis streams, and finally, storing and querying the data in Amazon Athena.

  • Updated Feb 11, 2024
  • Python

Developed an ETL pipeline for real-time ingestion of stock market data from the stock-market-data-manage.onrender.com API. Engineered the system to store data in Parquet format for optimized query processing and incorporated data quality checks to ensure accuracy prior to visualization.

  • Updated Jun 25, 2024
  • Python

This project automates an ETL pipeline using AWS Glue, S3, Athena, and Step Functions to transform raw Airbnb data. It cleanses, enriches, and organizes the data into separate raw and transformed databases, enabling efficient querying and analysis via Athena, with automated notifications through SNS.

  • Updated Nov 22, 2024
  • Python

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