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Data Engineering in Practice

Emmanuel Ogungbemi

This newsletter is dedicated to helping professionals build real-world Data Engineering & AI skills.

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Substack
PricingFreemiumPublishesWeekly
Issues28Founded2 years agoLast Issuea month ago
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Latest Issues

Issue 025: How I designed Data Pipelines That Don't Break

Pipelines Don't Fail by Accident

Welcome to Issue 025 of Data Engineering in Practice! One of the most common pain points in data engineering is unstable pipelines. Jobs fail. Data arrives late. Downstream systems break. And suddenly, ever...

a month ago
1
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Issue 024: Most Data Engineers Are Solving the Wrong Problems

Busy Does Not Mean Valuable

Welcome to Issue 024 of Data Engineering in Practice! One of the biggest problems I see in data teams is not lack of effort, it’s misdirected effort. Engineers are busy building pipelines, optimising jobs, and a...

2 months ago
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#023: Why Engineering Loses Talent, and How to Fix It

The Hidden Cost of Poor Career Progression

Welcome to Issue 026 of Data Engineering in Practice! One of the biggest but least discussed pain points in engineering is not hiring—it’s retention. Talented engineers leave not because they lack...

2 months ago
2
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A quick update: The newsletter has a new name

Hi there,

I want to share an important update with you.

I’ve renamed the newsletter from Learn Data Science (& Engineering) to Data Engineering in Practice.

This change reflects a shift I’ve been making over time.

There’s no shortage of...

2 months ago
1

#022 - Building a Portfolio That Lands Data & AI Roles

Welcome to Issue 022!

One of the biggest pain points for aspiring and transitioning data professionals is knowing how to showcase their skills to employers.

Degrees and certifications are great—but what really stands out is a well-craft...

a year ago

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  • Emmanuel Ogungbemi

    I help professionals build real-world Data Engineering & AI skills.

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