KSR DataVizon

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.

NASSCOM AffiliatedISO 9001:2015 CertifiedStartup India Recognised
Multi Cloud with Data Engineering — KSR DataVizon

Our students work at

TCSTCS
InfosysInfosys
WiproWipro
CapgeminiCapgemini
DeloitteDeloitte
IBMIBM
HCLHCL
EYEY
KPMGKPMG
PwCPwC
Tech MahindraTech Mahindra
PersistentPersistent
HexawareHexaware
LTM LimitedLTM Limited
NokiaNokia
TCSTCS
InfosysInfosys
WiproWipro
CapgeminiCapgemini
DeloitteDeloitte
IBMIBM
HCLHCL
EYEY
KPMGKPMG
PwCPwC
Tech MahindraTech Mahindra
PersistentPersistent
HexawareHexaware
LTM LimitedLTM Limited
NokiaNokia
Duration4 MonthsLive Training
ModeOnlineMentor-Led
Next Batch28-08-257 PM
TrainerMr. Santhosh10+ Years Industry Experience
01Why Learn

Why Multi Cloud with Data Engineering?

Why Choose Multi Cloud with Data Engineering Training?

1

Master Data Engineering on AWS, Azure & Google Cloud

2

Build scalable ETL/ELT data pipelines in multi-cloud environments

3

Work on real-time cloud data engineering projects

4

Design and implement modern data lake & data warehouse solutions

5

Gain hands-on experience with Python, SQL, Spark & Big Data tools

Who Can Learn
Built for engineers & switchers targeting strong outcomes.
Final-year Students

Graduate ready with deployed projects, not just a degree.

Software Developers

Backend or frontend devs ready to switch into advanced technology roles.

Data Analysts

Already use SQL & Excel? Level up to ML & GenAI engineering.

Career Switchers

Non-tech professionals planning a complete pivot into technology.

Working Professionals

Upskill in evenings & weekends, with full LMS access for revision.

Aspiring Founders

Build AI-first products yourself before you raise a round.

02About the Course

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.
03Meet Your Trainer

Taught by active practitioners.

Lead Trainer · Multi Cloud with Data Engineering
Mr. Santhosh

With years of specialized application expertise, Mr. Santhosh drives functional real-world mastery through conversational engineering discussions.

04Tools & Frameworks

The stack you use on the job.

Work confidently using industry platforms across core deployment targets.

SQL
SQL
Python
Python
Data Warehousing
Data Warehousing
Big Data
Big Data
Hadoop
Hadoop
Apache Spark
Apache Spark
PySpark
PySpark
Cloud Computing
Cloud Computing
Microsoft Azure
Microsoft Azure
Azure Data Factory
Azure Data Factory
Azure Data Lake Storage
Azure Data Lake Storage
Azure SQL Database
Azure SQL Database
Azure Databricks
Azure Databricks
Delta Lake
Delta Lake
Azure Synapse Analytics
Azure Synapse Analytics
AWS
AWS
Amazon S3
Amazon S3
AWS Glue
AWS Glue
AWS Lambda
AWS Lambda
AWS EMR
AWS EMR
Google Cloud Platform
Google Cloud Platform
BigQuery
BigQuery
CI/CD Pipelines
CI/CD Pipelines
Git & GitHub
Git & GitHub
06Curriculum Plan

Systematically layered foundations.

Sequential core units structured logically to compile robust engineering outcomes.

01sql
SQL for Data Engineering
3 Weeks
Introduction to SQLDDL, DML, DCL, TCLJoins & SubqueriesWindow FunctionsViews & Indexes
02python
Python for Data Engineering
4 Weeks
Python BasicsData Types & Control FlowFunctions & OOPFile HandlingPython Libraries
03data-warehousing
Data Warehousing & Modeling
3 Weeks
What is Data WarehousingOLAP vs OLTPETL vs ELTFact & Dimension TablesStar & Snowflake Schemas
04big-data
Big Data Foundations
3 Weeks
Introduction to Big DataHadoop ArchitectureHDFS & MapReduceSpark OverviewRDD & DataFrames
05azure
Microsoft Azure Data Engineering
4 Weeks
Azure FundamentalsAzure Blob StorageAzure Data Lake StorageAzure SQL DatabaseAzure Data Factory
06aws
AWS Data Engineering
4 Weeks
AWS FundamentalsAmazon S3AWS GlueAWS LambdaAWS EMR
07gcp
Google Cloud Data Engineering
3 Weeks
GCP FundamentalsCloud StorageBigQueryCloud SQLCloud Functions
08cicd
CI/CD & DevOps for Data Engineering
3 Weeks
DevOps FundamentalsGit & GitHubCI/CD PipelinesEnvironment ConfigurationEnd-to-End CI/CD Pipeline
Download Curriculum
09Alumni Actions

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.

S
Shilpa Palankar

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

B
Bharat Garg

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.

H
Harshitha Jt

Vukkisila Obilesh

V
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.

T
Thilak

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.

G
Gangadhar P
10Career Launch

Placement networks that act actively.

200+
Hiring Partners
85%
Avg. Salary Hike
2,400+
Mentees Placed
6 wks
Avg. Time to Offer
01
Resume & Portfolio Review

ATS-friendly resume rewrite, GitHub audit, and capstone project documentation review.

02
LinkedIn & Naukri Optimisation

Profile rebuild with recruiter-targeted keywords, headline crafting, and weekly content tips.

03
Mock Interviews

Two structured mocks: one technical (live coding + system design), one HR/behavioural.

04
Recruiter Connections

Curated job openings and direct intros via our network of 200+ hiring-partner companies.

05
Soft Skills & Etiquette

Communication, client handling, and corporate-readiness coaching from senior practitioners.

06
Lifetime Alumni Access

Slack community, referral pipeline, and ongoing peer support — useful long after placement.

- Priority Enrolment Intake Status Active -

Compile execution goals securely.
Intake session opens soon.

Discuss personalized pacing trajectories, audit project module options, and verify scheduling suitability safely directly.

Enroll Now
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