The best way to bridge the skill gap is by building real-world cloud projects using tools like Spark, Kafka, and Databricks
List projects like "Real-time Twitter Sentiment Pipeline" or "E-commerce Data Lake" using tools like Spark and Databricks The demand for cloud data engineers is exploding. Studies show that Python (85%), SQL (77%), and Apache Spark (~33%) are among the most requested data engineering skills, while cloud platforms like Azure and AWS dominate job postings. With cloud expertise, professionals in India can earn ₹35–50 LPA or more in advanced roles, showing how specialized skills can significantly increase salaries. For educational students and aspiring professionals, the best way to bridge the skill gap is by building real-world cloud projects using tools like Spark, Kafka, and Databricks. Here are five portfolio projects that can help you stand out. 1. Real-Time Twitter Sentiment Pipeline Build a streaming pipeline that collects tweets, processes them with Kafka + Spark Streaming, and analyzes sentiment using ML models. The results can be visualized on a dashboard. Re...