Blog

AI-Optimized ETL Processes: How to Automate Data Transformation in 2025

AI-powered data modeling is transforming how data flows through modern information systems, gradually replacing traditional ETL processes—not just in large corporations but across the board. In 2025, your understanding of building and automating smart data models, along with the entire data transformation process, will determine whether you stand out or fall behind in interviews. Recruiters...

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How AI-Powered Data Modeling Will Replace Traditional ETL in 2025

Ready to level up your data engineering career? Your path to top-tier roles starts with the right skills, mapped to your goals. If you want to stand out in a sea of applicants and ace those tricky data engineer interview questions, a personalized learning plan is your best bet. Take the next step now and...

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Advanced SQL: 2025 Tricks Every Data Engineer Should Know

Ready to step up and make your mark in the field? The expectations for data engineer interview questions are rising fast. Entry-level isn’t what it used to be. Hiring teams want to see your real-world SQL skills in action, especially when it comes to complex queries, optimization, and performance. This is your time to develop...

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Ultimate Guide to Acing the 2025 Airbnb Data Engineer Interview

Looking to land your first data engineering job at Airbnb in 2025? You’re in the right spot. The path to a successful data engineer interview is tough, no question. Between technical screenings, hands-on problem solving, and questions built to test how you think, you’ll need a plan. Here’s the good news: you don’t have to...

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Make the Jump: Analyst to Data Engineer Explained

If you’re currently working as a data analyst and looking to take your career to the next level, becoming a data engineer might be the smartest move you can make in 2025. The demand for skilled data engineers continues to skyrocket as companies embrace AI-driven infrastructure and need robust pipelines to power real-time analytics, machine...

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Data Engineering Career Paths in the AI Era

In the age of artificial intelligence, data has become the most valuable asset in the modern enterprise. But AI is only as good as the data that fuels it. Behind every intelligent application, predictive model, and automation system is a network of robust, scalable, and reliable data infrastructure built by data engineers. As organizations evolve...

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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?”...

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Will AI Replace Data Engineers? Not If You Do This

Artificial intelligence is evolving fast, from generating text and images to writing code and automating complex workflows. As AI continues to reshape industries, many professionals are asking an urgent question: “Will AI replace data engineers?” At Data Engineer Academy, we hear this question almost daily. It’s understandable. With headlines warning of mass automation and tools...

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The Truth About Data Engineering Myths in 2025

As data engineering continues to gain traction in the tech world, misinformation and outdated beliefs are holding too many aspiring professionals back. Whether it’s about needing a computer science degree or thinking you have to master every tool on the planet, these myths can derail your progress before you even begin. At Data Engineer Academy,...

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The Fastest Way to Learn Data Engineering in 2025

Breaking into data engineering has never been more achievable — or faster. In 2025, data engineering is poised to become one of the most in-demand and lucrative tech careers, with companies across various industries competing to hire skilled professionals. But what if you could go from beginner to hired data engineer in as little as...

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FAANG vs Startups: Data Engineering Career Guide

As a data engineer (or aspiring one), you face a pivotal career choice: join a tech giant or a nimble startup? Both paths offer incredible opportunities, yet they differ in key ways. At Data Engineer Academy, we often hear the question of FAANG vs. startups – which is the better path for a data engineering...

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Build a Real-World DBT Project: Step-by-Step Guide

Building a real-world data pipeline may seem daunting, especially for beginners. But with the right tools and a clear roadmap, you can set up a functioning end-to-end project on your own Windows machine. In this guide, we’ll walk you through the process of using VS Code, Docker Desktop, and WSL (Windows Subsystem for Linux) to create a comprehensive data...

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GPT vs BERT: Which Model Fits Your Use Case?

Modern Natural Language Processing (NLP) offers powerful transformer-based models, such as GPT and BERT, which each excel in different areas. If you’re exploring AI projects, understanding the architectures, capabilities, and ideal applications of these models will help you choose the right tool for the job. In this article, we provide a neutral comparison of GPT and BERT, with clear explanations...

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SQL for Data Engineers: Personalized Study Plan

Every learner starts from a different place. Maybe you’re brand new to databases, or perhaps you’ve dabbled in analytics and want to solidify your SQL skills for engineering tasks. At Data Engineer Academy, the first step is understanding your starting point. We conduct a thorough skill gap analysis to identify what you know and what...

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