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Follow a comprehensive 37-minute video tutorial that presents a 10-step roadmap to becoming a data engineer in 2025, starting from absolute beginner to job-ready expert. Learn essential skills through real-world, cloud-based projects across Azure, AWS, and GCP platforms. Discover key tools including Airflow, dbt, PySpark, Azure Data Factory, and Terraform while building both batch and streaming pipelines. The tutorial covers Python and SQL foundations, relational and NoSQL databases, data warehousing, ETL/ELT pipelines, orchestration, batch processing with Spark, stream processing with Kafka and Event Hubs, multi-cloud architecture, and infrastructure as code. Explore detailed cloud project examples including Azure (Event Hubs → Databricks → Synapse → Power BI), AWS (S3 → Glue → Redshift), and GCP (Pub/Sub → Dataflow → BigQuery). The video includes portfolio-building tips, DevOps best practices, end-to-end architecture examples, and concludes with guidance on capstone projects and job preparation.
