Build Your Data Portfolio to 5 Real-World Cloud Projects
5 Real-World Cloud Projects to Build Your Data Portfolio (Bridge the Gap from Manual Testing → ETL → Cloud Data Engineering) The demand for cloud data engineers is growing rapidly as companies shift their data infrastructure to the cloud. Over 94% of enterprises now use cloud services, and cloud-based data pipelines power most modern analytics and AI systems. In India alone, the data engineering market is expected to grow from $18.2B to $86.9B by 2027, creating thousands of high-paying opportunities. For professionals coming from Manual Testing or ETL roles, learning cloud data engineering can significantly increase career opportunities and even 3× salary growth in the tech industry. The best way to transition is by building real-world cloud projects. 1. Build an ETL Pipeline on AWS Create a pipeline that extracts data from APIs, transforms it using Python, and loads it into a cloud warehouse like Amazon Redshift. This project teaches data ingestion, transformation, and orchestra...