What excited me from this project:

I am so excited about this project and want to share how powerful the cloud technologies that I have used. Those technologies make it easier for us to access, retrieve, and transform the data to what we need before modeling and visualization, making our life easier! Also, I keep honing the visualization skill to help convey the meaning of the data in a way that’s compelling and relevant to the stakeholders by using Tableau.

Project Description:

Automated loading of data from Amazon S3 into a cloud data warehouse (Google BigQuery) using Fivetran. Transformed that data in the warehouse using dbt (Data Build Tool) and built dashboards in Tableau.

Southwest Delay Anaysis

Please visit my DashBoard to view details or click on the image below

This project helped me practice the following key skills.

  1. Cloud Technologies: Data Build Tool (DBT), Fivetrain, BigQuery

  2. Visualization: Tableau

In this dashboard, I answer the following question.

  • When Southwest flights were delayed, what was the average arrival delay? How does that compare to others?

  • What % of delays were within Southwest's control? Is that consistent across the industry?

  • How much time is Southwest making up during a flight?

  • What are the costs of these delays?

Flow of the Data Pipeline:

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(KEY Project) TWITTER TRENDINESS SCORE ANALYSIS