My newsfeed these days is chock-full of “how to break into Data Engineering” these days. It’s made me a bit nostalgic, to say the least. I’ve been dreaming about those days gone by when I started out in the data world. I would say my experience was not so much “breaking in”, but more of a “weasel my way into” Data Engineering.

I didn’t get a Computer Science degree, not even close. I think there are many ways to get into Data Engineering, it’s probably easier than it ever has been in the past. We will fulfill our destiny in different ways, and that journey gives us a unique perspective and makes us “good” at certain things. This is my story.

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Probably one of the hardest hurdles to jump over when starting out in anything new, including Data Engineering and Data Pipelines, is knowing where to start. It always can be a little daunting. One aspect that can make or break any project, giving you the confidence to move forward like Sparticus to conquer, is having a good project template for your repository of code and logic that will encapsulate and present your code to others.

I’ve created a free and hopefully helpful Python blank GitHub project template that you can clone, change, and steal to your heart’s desire. I hope it will be helpful and set you going in the right direction for your next project.

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