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Writing from our team. The latest news, insights, and resources.

5 Common Mistakes Beginners Make in Data Engineering

Entering the field of data engineering can feel like jumping into a complex maze of tools, concepts, and best practices. For beginners, the sheer scope of what’s required can be intimidating. Data engineers are responsible for designing pipelines, managing massive datasets, and ensuring data is reliable and accessible — all while keeping up with the...

By: Chris Garzon | January 26, 2026 | 12 mins read
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Dropbox SQL Interview

Top Dropbox SQL Interview Questions

SQL proficiency is the most important skill for data engineering and data science roles at Dropbox. As a company that manages vast amounts of data, Dropbox looks for candidates who can efficiently query and manipulate large data sets to derive meaningful insights and build data-driven solutions. The interview process often includes SQL challenges that require...

By: Chris Garzon | January 22, 2026 | 12 mins read
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Personalized Learning Paths versus Bootcamps

Personalized Learning Paths vs. Bootcamps: What Delivers Faster Results?

Thinking about switching careers to data engineering? You’re not alone. With thousands going after every open role, standing out isn’t easy — especially when you’re balancing learning with everything else in your life. There’s a big debate right now: do you jump into a bootcamp, or should you look for something more personalized? If the...

By: Chris Garzon | January 21, 2026 | 17 mins read
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10 SQL Interview Tips For Data Engineers

10 SQL Interview Tips For Data Engineers

SQL, remains an essential tool in the toolkit of any data engineer. As the foundational language for relational database management systems, its significance cannot be overstated. Consequently, for those eyeing roles centered around data, the ability to adeptly navigate SQL-based interview questions is crucial. Key Takeaways 1. Foundational Knowledge is Key In the realm of...

By: Chris Garzon | January 20, 2026 | 9 mins read
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Which career should you pick

Data Analyst vs Data Engineer vs Data Scientist: Which Should You Pick in 2026?

Imagine standing at a career crossroads with three exciting paths before you: Data Analyst, Data Scientist, and Data Engineer. It’s 2026, and data is everywhere – from startups to Fortune 500 companies – so picking the right data role can launch you into a high-demand tech career. But how do you decide which path fits...

By: Chris Garzon | January 17, 2026 | 86 mins read
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7 High Paying Coding Jobs

Over the last decade, the technology sector has undergone a seismic shift, evolving from a supportive function into the backbone of nearly every industry. From powering personalized recommendations in e-commerce to enabling breakthroughs in artificial intelligence, coding professionals now play a central role in driving innovation. This transformation has made coding jobs not just in...

By: Chris Garzon | January 16, 2026 | 16 mins read
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How Long Does It Take to Learn SQL?

Learning SQL language requires a lot of practice and repetition to develop a deep understanding of how the SQL language works. The time it takes to learn SQL will vary depending on which level you start, how proficient you want to be, and how much time you have to invest in learning Short answer: Most...

By: Chris Garzon | January 15, 2026 | 18 mins read
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Automating ETL with AI in Data Engineering

Automating ETL with AI

Extract, Transform, Load (ETL) has been the workhorse of data engineering for decades. It’s how businesses collect data from various sources, clean it up, and organize it into usable formats for analytics and decision-making. However, the traditional ETL process — built on manual coding, rigid workflows, and static infrastructure — was designed for a simpler...

By: Chris Garzon | January 15, 2026 | 8 mins read
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