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If you're trying to become a Data Engineer in 2026, one of the biggest mistakes people make is learning random tools without understanding the actual roadmap. In this video, I walk you through a step-by-step Data Engineering Roadmap that shows you exactly what skills you need to learn — from SQL and Python to Apache Spark, modern data platforms, and cloud computing. Whether you're a data analyst, aspiring data engineer, or someone exploring careers in data, this guide will help you understand the technologies and concepts used by real data engineers in industry. By the end of the video, you'll have a clear roadmap covering: 00:00 Introduction 00:56 Data Engineering Fundamentals 02:28 SQL for data engineering 03:30 Python for automation and ETL 04:17 Distributed data processing with Apache Spark 05:35 Modern data platforms like Databricks and Snowflake 07:35 Cloud platforms such as AWS, Azure, and Google Cloud 08:22 Closing and Summary I’ve also created a free roadmap document you can follow step-by-step. Download it here: 🔗 https://www.canva.com/design/DAHC_L0c... 📚 Data Engineering Roadmap 1️⃣ Data Engineering Fundamentals 2️⃣ SQL for Data Engineering 3️⃣ Python for Data Pipelines 4️⃣ Distributed Data Processing (Apache Spark) 5️⃣ Modern Data Platforms 6️⃣ Cloud Data Engineering 🔧 Technologies Mentioned Databricks Snowflake Microsoft Fabric Google BigQuery Apache Airflow Apache Kafka Apache Spark AWS Microsoft Azure Google Cloud #DataEngineering #DataEngineerRoadmap #LearnDataEngineering #DataCareers #DataWithClarence