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What I’ve Learned After A Decade Of Data Engineering

After 10 years of Data Engineering work, I think it’s time to hang up the proverbial hat and ride off into the sunset, never to be seen again. I wish. Everything has changed in 10 years, yet nothing has changed in 10 years, how is that even possible? Sometimes I wonder if I’ve learned anything […]

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Building Open-Source Python Packages – SparklePop

One of the things I love about Python is its flexibility and huge community, a community that puts out a never-ending stream of useful packages for the average Software Engineer. In a show of solidarity to the open-source community, I thought I would publish a PYPI package that will probably be used by 5 people […]

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Databricks Buys Tabular – 1 Billion Dollar Deal. Iceberg vs Delta Lake?

The battle for the Data Warehouse, Data Lake, Lake House, or whatever you want to call it, in the age of AI just got more interesting. In an unsurprising move, Databricks has announced plans to buy Tabular for 1 billion dollars, beating out Snowflake who was reportedly trying to do the same thing.

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Is Python OOP the Devil? Or Savior?

Nothing will raise the hackles on the backs of hairy and pale programmers who’ve been stuck in their mom’s basement for a decade like bringing up OOP (Object Oriented Programming), especially in the context of Python. It’s like two fattened calves prepared for slaughter, sharpen your knives, and take your place, it’s time to feast […]

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Building Data Platforms (from scratch)

Of all the duties that Data Engineers take on during the regular humdrum of business and work, it’s usually filled with the same old, same old. Build new pipeline, update pipeline, new data model, fix bug, etc, etc. It’s never-ending. It’s a constant stream of data, new and old, spilling into our Data Warehouses and […]

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Why Data Engineering Pays So Well …. For Some, and Poor For Others

If you’ve ever been in the market for a Data Engineering job, or you’re alive and on Linkedin, you’ve probably been constantly inundated with job postings and requests pounding on your emails like a constant mountain stream even bubbling down a hill. If that’s not the case, then head over to the quarterly salary discussion […]

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Why You Should Replace Pandas with Polars

I’m still amazed to this day how many folks hold onto stuff they love, they just can’t let it go. I get it, sorta, I’m the same way. There are reasons why people do the things they do, even if they are hard for us to understand. It blows my mind when I see something […]

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Developing Production Level Databricks Pipelines.

A question that comes up often … “How do I develop Production Level Databricks Pipelines?” Or maybe someone just has a feeling that using Notebooks all day long is expensive and ends up being an unreliable way to produce Databricks Spark + Delta Lake pipelines that run well … without error. It isn’t really that […]

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Reading and Processing JSON with Rust vs Python.

Have you ever wondered about being explicit in your code vs being vague? I think about this a lot as I’m writing code on a daily basis. I’ve found I like being explicit and verbose when writing code, rather than being vague in what I’m doing most of the time.

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Google Fires Python. What Next?

What is going on? Is the world coming to an end? I thought Python was going to live forever. Well, apparently not at Google. Recently Google announced it was laying off its entire North American-based Python team that was supporting Google’s special needs with Python, in favor of cheaper offshore workers. Apparently, some of these […]

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