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A Covid-19 data pipeline on AWS featuring PySpark/Glue, Docker, Great Expectations, Airflow, and Redshift, templated in CloudFormation and CDK, deployable via Github Actions.

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moritzkoerber/covid-19-data-engineering-pipeline

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This repo is my playground to try out various data engineering stuff. The used services/tools/design is not always the best choice or sometimes unnecessary cumbersome – this just reflects me trying to explore different things. At the moment, the pipeline processes Covid-19 data as follows: aws All infrastructure is templated in AWS CloudFormation or AWS CDK. All steps feature an alarm on failure. The stack can be deployed via Github Actions. I use poetry to manage the dependencies/virtual environment.

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A Covid-19 data pipeline on AWS featuring PySpark/Glue, Docker, Great Expectations, Airflow, and Redshift, templated in CloudFormation and CDK, deployable via Github Actions.

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