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Automated data extraction using APIs, AWS functions to build ETL pipelines, and data modeling in SSIS. Performed data manipulation, profiling, cleansing, integration, and price history tracking.

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vaibhavigaekwad007/US-Stock-Exchange-Data-Warehousing-and-BI-

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US-Stock-Exchange-Data-Warehousing-and-BI-Design

The aim of this project is to build a data warehouse and a data mart to:

  • Automate daily API data-extraction in AWS for stock prices
  • Integrate and transform the daily data along with other associated financial data (e.g. valuation ratio, earnings and income statement, etc.)
  • Load the integrated, clean,and transformed data to a Data Warehouse and a star schema for specific technical analyses
  • Present the analyses in a visualization format using a Tableau dashboard.

The goals achieved in this project are:

  • Designed ETL pipeline and performed data modeling using SSIS to integrate data into facts and dimensions.
  • Automated extraction of data from multiple data sources using APIs, AWS Lambda and CloudWatch, and exported it to S3.
  • Accomplished data manipulation, profiling, cleansing, integration and price history tracking using SSIS packages.

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Automated data extraction using APIs, AWS functions to build ETL pipelines, and data modeling in SSIS. Performed data manipulation, profiling, cleansing, integration, and price history tracking.

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