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
21 Learning Materials
37 Courses • 7767 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
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