Functional Python for the ETL Developer by Joshua Higginbotham

As a Data Engineer, you're continually tasked with building pipelines to facilitate data movement, imports, and extracts. Each time, the request is different but the operation is similar, but takes you countless hours to build, test, and deploy. By utilizing commonly used modules from the Python ecosystem, we can buildout reusable and scalable code, that will support your Data pipelines On-Premises and in the Cloud.
Joshua Higginbotham, a Microsoft Data Platform MVP, is the Director of Data Engineering at Rev.io. He's worked in various roles including Software Development, Database Administration, and Business Intelligence. He’s an active speaker within the Data community and the Leader of the Louisville Data Technology Group on MeetUp.

[@amritasrivastva]

Thank you for this informational video. I had to install openpyxl package apart from the libraries mentioned in requirements.txt to run the notebook cell where we read data from excel file.

[@Korudo]

This is super helpful. Thanks!

[@murthyram30]

Can you share git repo if any available.

[@KevinFeasel]

Here you go: github.com/Jhiggin/Functional_Python_for_ETL

[@murthyram30]

@@KevinFeasel Thank you very much. it's very helpful.

[@steveghar]

@@KevinFeasel Thank you!

[@averychen4633]

@@KevinFeasel thank you