Data Warehousing system
Snowflake with AWS Data Engineering involves leveraging the strengths of both platforms to build robust and scalable data pipelines and analytics solutions.
Our students work at
Why Multi Cloud with Data Engineering?
Why Choose Multi Cloud with Data Engineering Training?
Master Data Engineering on AWS, Azure & Google Cloud
Build scalable ETL/ELT data pipelines in multi-cloud environments
Work on real-time cloud data engineering projects
Design and implement modern data lake & data warehouse solutions
Gain hands-on experience with Python, SQL, Spark & Big Data tools
Graduate ready with deployed projects, not just a degree.
Backend or frontend devs ready to switch into advanced technology roles.
Already use SQL & Excel? Level up to ML & GenAI engineering.
Non-tech professionals planning a complete pivot into technology.
Upskill in evenings & weekends, with full LMS access for revision.
Build AI-first products yourself before you raise a round.
Deliberately sequenced architecture.
Not simple video playlists — mentor-driven engineering sprints optimized directly for scaling up skills.
Snowflake with AWS Data Engineering involves leveraging the strengths of both platforms to build robust and scalable data pipelines and analytics solutions.
Structured systematically. Focused clearly on active deployments.
Taught by active practitioners.
With years of specialized application expertise, Mr. Santhosh drives functional real-world mastery through conversational engineering discussions.
The stack you use on the job.
Work confidently using industry platforms across core deployment targets.
Systematically layered foundations.
Sequential core units structured logically to compile robust engineering outcomes.
Real reviews from successful students.
I had recently joined the Multi-cloud data engineering course in KSR Datavizon, and I am very much grateful to the KSR Team for giving us such a well-structured and well designed course, covering concepts step by step in a clear and simple manner.
I recently completed my multi cloud data engineering reskilling program at KSR, and it was an excellent experience. The trainer- Santhosh explained complex concepts in a very simple and practical way, with real-world examples
I recently completed the Azure Data Engineering course in KSR and was thoroughly impressed by how supportive the institution and Mahesh sir were, every instructor and mentor genuinely cared about our progress and was quick to clarify our doubts.
Vukkisila Obilesh
I started my learning journey with KSR Datavizon by enrolling in the Data Engineer course, where Santhosh's clear explanations helped me strengthen my fundamentals. I later joined the Data Analytics course as well, and doing both together greatly boosted my understanding.
Santhosh, truly appreciate the strong foundation you provided in Azure Data Engineering, and the way you explained the concepts using real-life scenarios made it easy for everyone to understand.
Placement networks that act actively.
ATS-friendly resume rewrite, GitHub audit, and capstone project documentation review.
Profile rebuild with recruiter-targeted keywords, headline crafting, and weekly content tips.
Two structured mocks: one technical (live coding + system design), one HR/behavioural.
Curated job openings and direct intros via our network of 200+ hiring-partner companies.
Communication, client handling, and corporate-readiness coaching from senior practitioners.
Slack community, referral pipeline, and ongoing peer support — useful long after placement.
Compile execution goals securely.
Intake session opens soon.
Discuss personalized pacing trajectories, audit project module options, and verify scheduling suitability safely directly.
