Sarah Floris, MS LinkedIn Posts

One of the most difficult problems facing data teams is working with various levels of coding skills.

Data engineers thrive in languages

Well it was nice while it lasted. Yesterday was my last day at Zwift, as I didn't survive the 3rd round of

Hi everyone, after about 4 years, I was unfortunately laid off from my role as a QA Analyst at Zwift this week as

Want to work in health & fitness? 👇

Start your job search with this list of 20+ handpicked openings and our jobs board featuring

Tired of chaotic code?

Unlock the power of standardized coding in Jupyter Notebooks AND files.

Keep reading for the magic!

💡 Want to level up your Data Engineer skills? 🚀

👉 Master these 5️⃣ essential strategies to become a top-notch Data Engineer!

Tired of the Pandas limitations? 🐼

You are not alone!

Discover powerful alternatives tailored for more extensive datasets.

Even its

Switched to Spark but still not getting the performance you need?

Check out your Spark configurations!

Let's look at these

Data lakes by themselves suck.

They lack data governance, data security, and many important key components of data architecture.

But what

Productionalizing a model is complex.

As a data scientist, I learned how to build models but not monitor models.

Analytical databases (or data warehouses) are not transactional databases.

I learned this painful lesson early on in my data career.

As

The best SQL optimization isn't in SQL at all -- indices.

You read that right. The best way to speed up

Unleash the power of Delta Lake 3.0: Say goodbye to data silos and hello to high-performance lakehouses.

Data + AI Summit highlighted

I got laid off 2x last year.

Technical writing gave me new opportunities to pursue

Here are 4 lessons I

Think you're a data engineering pro?

What if I told you even the best make these 5 mistakes?

Keep reading to

Spreadsheets over SQL? Sounds like heresy, right?

We data engineers live and breathe complex calculations, databases, and coding magic. It's the

Ever faced PySpark chaos?

Discover the surprising truth about when NOT to use it.

Unveil the secret now.

1️⃣ Small-scale

Data engineers, have you ever experienced imposter syndrome? That feeling of not being good enough, despite your skills and qualifications.

You

Data warehouses require specific formatting of data and can be slow.

That's why we have data lakes.

Here are

Last week, I shared that I had received 4 job offers in machine learning and data engineering after just 2 weeks of job