Watch Python Data Engineering Cheat Sheet Video Tutorials & Courses

Today, I am giving you the exact, step-by-step Data Engineering roadmap I would use to learn DE to get hired right now, and the strict rule for this video is that all the resources/courses I show you are completely free. 👉 Book 1:1 mentoring sessions: https://topmate.io/jash_radia LinkedIn: https://www.linkedin.com/in/jashradia/ Instagram: https://www.instagram.com/jash.radia/ Resources Mentioned: SQLBolt: https://sqlbolt.com/ ThoughtSpot SQL Tutorial: https://www.thoughtspot.com/sql-tutorial DataLemur SQL questions: https://datalemur.com/questions CS50 Python: https://cs50.harvard.edu/python/ Python for Everyone: https://www.py4e.com/ Automate the Boring Stuff: https://automatetheboringstuff.com DSA Roadmap: https://roadmap.sh/datastructures-and-algorithms LeetCode: https://leetcode.com/studyplan/top-interview-150/ DBMS: https://www.youtube.com/watch?v=4cWkVbC2bNE OS: https://pages.cs.wisc.edu/~bart/537/lecturenotes/titlepage.html Shell, Git and more: https://missing.csail.mit.edu/ Spark: https://spark.apache.org/docs/latest/sql-getting-started.html Spark 2: https://www.databricks.com/spark/getting-started-with-apache-spark Databricks Free Edition: https://www.databricks.com/learn/free-edition Databricks Course: https://www.youtube.com/watch?v=0Hd5vYqin7w Databricks Cert: https://www.databricks.com/learn/certification/data-engineer-associate Data Modeling quick guide: https://www.holistics.io/books/setup-analytics/kimball-s-dimensional-data-modeling/ Data Modeling detailed guide: https://www.kimballgroup.com/data-warehouse-business-intelligence-resources/kimball-techniques/dimensional-modeling-techniques/ Snowflake free trial: https://signup.snowflake.com/ Snowflake courses and dev guides: https://www.snowflake.com/en/developers/guides/ https://www.snowflake.com/en/developers/guides/ AWS Sol arch learning: https://www.youtube.com/watch?v=c3Cn4xYfxJY AWS skill builder: https://skillbuilder.aws/category/select/role GCP Cloud Eng learning: https://www.cloudskillsboost.google/paths/11 Azure Fabric DE learning: https://www.youtube.com/watch?v=KiB4eAeFRsw Kafka: https://developer.confluent.io/courses/apache-kafka/events/ Kafka docs: https://kafka.apache.org/43/getting-started/introduction/ Flink: https://developer.confluent.io/courses/apache-flink/intro/ Great Expectations for DQ: https://greatexpectations.io/ DataHub for catalog and lineage: https://datahub.com/ MLOps: https://madewithml.com/ Coding with AI: https://code.claude.com/docs/en/how-claude-code-works My Top 5 AI courses: https://www.deeplearning.ai/courses/chatgpt-prompt-eng https://www.deeplearning.ai/courses/langchain https://qdrant.tech/course/ https://www.deeplearning.ai/courses/ai-agents-in-langgraph https://www.deeplearning.ai/courses/long-term-agentic-memory-with-langgraph 0:00 Intro and Why Data Engineering 2:34 SQL 3:29 Python and DSA 4:40 DBMS and OS 5:48 Spark and Databricks 6:57 Data Modeling and Snowflake 9:09 Cloud 10:06 Realtime Analytics 11:34 Governance and MLOps 12:29 AI 14:05 Projects and Datasets #dataengineering #roadmap #artificialintelligence #cloud #learning Key Highlights & Overview: Learning <strong>Python Data Engineering Cheat Sheet</strong> requires clear step-by-step guidance and practical hands-on visual demonstrations. Follow along with top-rated video tutorials from industry experts today on <strong>TutorTube</strong>.