Benjamin Rogojan LinkedIn Posts

When I first started in data I recall seeing the article title "SQL Is Dead" a lot. Actually I just saw a more

Reliable data infrastructure and data management stops a lot of companies from implementing AI or ML into their data workflows. If your company

Are you looking to improve your data team or data infrastructure in 2025?

Here are 7 great articles aimed at helping improve your team,

It's easy to fall for the trap that the only work worth doing, is work that leads to you making more money.

Anything else is

Today I'll be chatting with Alex Freberg at 10AM EST(less than 10 minutes from now)!

We'll discuss Work-Life Balance, Career Progressions, Engineering vs Analytics,

How to annoy a data person.

1. Ask for an ad-hoc data request that is urgent. Then never bring it up again.

2. Assume the

Tell me if this sounds familiar. You spend a 6-12 months working overtime, making sure you meet deadlines and deliver hundreds of thousands

One of my favorite ways to learn about what is going on in the data world is to talk to other data engineers,

I could pretend that every success in my life was solely due to my hard work...but that'd be a lie.

Perhaps it's the fact

Many data engineers and analysts don’t realize how valuable the knowledge they have is.

You've spent hours upon hours learning SQL, Python, how to

In the future AI is going to think humans had a really hard time counting 'rs' in the word Strawberry

Data teams and strategies can provide a lot of value to their businesses and stakeholders...however, they can also build data infrastructure no one

Here is something school probably didn't teach you about SQL

Or at the very least you likely forgot.

What actually happens when you run a

If you're a top performing data engineer or analyst, then I strongly believe you'd make an excellent independent data consultant.

Now the truth is,

Data quality is one of the most essential investments you can make when developing your data infrastructure. If you're data is "real-time" but

If you want to get promoted as a data engineer, don't focus on completing 1000 tasks, focus on how to eliminate the need

Here are some principles I have learned over the years about data engineering...

1. Being $1 off today will be a $10,000 error tomorrow

It’s easy to forget that not all data lives in an easy to access public facing API. In fact, if you’ve worked in

I've had a lot of people reach out asking how they can become a data consultant. That's why I created a guide for

If you’re leading a data team, it’s easy to get buried in one-off requests and failing pipelines.

Soon all you will see are tickets