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

AWS

How to Avoid Common Beginner Mistakes When Learning AWS

Switching careers to data engineering? You’re not alone — this field is booming with opportunity, and AWS sits at the heart of modern data workflows. Getting started can feel intimidating, though, especially with so many AWS services, best practices, and technical details to keep straight. Many newcomers stumble over the same basics, wasting time and...

By: Chris Garzon | February 24, 2026 | 25 mins read
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Ace the Data Modeling Interview: A Simple 3-Step Framework That Works

Data modeling interviews can feel unfair at first. You get a prompt like “increase engagement at DoorDash,” and you’re expected to turn that into a clean set of tables, keys, and relationships under time pressure. The good news is that the best candidates don’t win by memorizing patterns. They win by showing a clear way...

By: Chris Garzon | February 24, 2026 | 10 mins read
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Facebook Data Engineer Interview

Facebook Data Engineer Interview Guide

Stepping into a Facebook data engineer interview can be a defining moment in your career. It’s a process that calls for more than technical knowledge — it’s about showcasing your problem-solving prowess and your fit within a culture that’s constantly pushing the boundaries of innovation. This article is written to give you a clear understanding...

By: Chris Garzon | February 22, 2026 | 10 mins read
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Breaking Down Why Data Engineering Is The New Sexiest Job

Breaking Down Why Data Engineering Is The New Sexiest Job

Data engineering is a strong career path because companies need reliable systems to move, clean, store, and serve data at scale. This article explains what data engineers do, why the role has become more visible, and what skills matter if you want to enter the field. It is most useful for career changers, early-career technologists,...

By: Chris Garzon | February 21, 2026 | 10 mins read
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Get Hired Faster with These AI-Ready Skills

Get Hired Faster with These AI-Ready Skills

Artificial intelligence is no longer a distant innovation — it’s now a driving force behind how organizations store, process, and extract value from data. As AI becomes deeply embedded into modern businesses, hiring managers in 2025 are no longer asking, “Does this person know AI?” They’re asking, “Is this person ready to work with AI?”...

By: Chris Garzon | February 20, 2026 | 6 mins read
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Kafka vs SQS. Comparison and Differences

In data engineering, the choice between Apache Kafka and Amazon SQS can feel like picking the right tool for two very different jobs. Kafka is synonymous with real-time data streaming and event-driven architecture, making it the backbone of many high-throughput systems that require speed, scalability, and fault tolerance. It’s the preferred choice for complex data...

By: Chris Garzon | February 20, 2026 | 13 mins read
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5 things I knew before becoming a software engineer

5 things I knew before becoming a software engineer

Starting in software engineering can be both exciting and overwhelming. Many of us step into this world with dreams of creating groundbreaking applications and thriving in a high-paying, fast-paced industry. But the reality of the day-to-day work can often be quite different from what we imagine. I remember my early days — struggling with code,...

By: Chris Garzon | February 20, 2026 | 15 mins read
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Data Science Python Interview Questions: What to Expect and How to Prepare

Data science interviews often test Python fundamentals, common libraries, and your ability to explain tradeoffs clearly. Candidates should expect questions on core syntax, Pandas, NumPy, missing-data handling, error handling, and simple machine-learning workflows. The best preparation is to review common question patterns, practice short explanations, and connect each concept to a real data task. Key...

By: Chris Garzon | February 20, 2026 | 11 mins read
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