The demand for skilled Data Engineers is soaring as businesses embrace multi-cloud architectures to handle massive data pipelines efficiently. Our Multi-Cloud Data Engineering course is designed to equip you with the expertise needed to work across Azure, AWS, and GCP, mastering modern data engineering tools and technologies.
✅ SQL & Python – Build a strong foundation for data manipulation and transformation.
✅ PySpark & Big Data Processing – Work with large-scale data using Apache Spark.
✅ Azure & Microsoft Fabric – Learn Data Engineering with Azure services and Fabric for seamless analytics.
✅ AWS & GCP – Explore cloud-native data solutions for scalable storage, processing, and analytics.
✅ Data Pipelines & CI/CD – Automate workflows with modern DevOps techniques.
✅ End-to-End Data Projects – Implement real-world ETL, Data Warehousing, and ML Pipelines.
🚀 Multi-Cloud Expertise – Gain proficiency in top cloud platforms: Azure, AWS, and GCP.
💡 Hands-On Learning – Work on live projects, assignments, and case studies.
📊 Industry-Relevant Skills – Learn the most in-demand tools & frameworks used in the industry.
🎯 Career Support – Get placement assistance, resume-building guidance, and mock interviews.
Join us to become a Multi-Cloud Data Engineer and future-proof your career in the ever-evolving world of cloud data engineering!
Start Date & End Date
1 Subject
4 Learning Materials
34 Courses • 5990 Students
Santosh, the Co-Founder & CTO of KSR Datavizon, is a visionary leader in cloud and data-driven solutions with extensive expertise in platforms like Azure, AWS, and Snowflake. As a seasoned Data Specialist, he drives innovation and delivers scalable strategies to empower businesses and learners alike. His passion for mentoring has transformed countless professionals, enabling them to thrive in tech
By clicking on Continue, I accept the Terms & Conditions,
Privacy Policy & Refund Policy