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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 Snowflake Data Engineering — KSR DataVizon
Enrol Now Curriculum

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. Sagar15+ Years Industry Experience
01Why Learn

Why Multi Cloud Snowflake Data Engineering?

Why Choose Multi Cloud Snowflake Data Engineering Training?

1

Master Snowflake Data Engineering on AWS & Azure

2

Build scalable ETL/ELT pipelines in multi-cloud environments

3

Work on real-time cloud data projects

4

Deploy end-to-end modern data warehouse solutions

→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 Snowflake Data Engineering
⁠Mr. Sagar

With years of specialized application expertise, ⁠Mr. Sagar 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
Snowflake
Snowflake
Data Warehousing
Data Warehousing
DBT
DBT
Python
Python
Apache Airflow
Apache Airflow
Apache Spark
Apache Spark
Databricks
Databricks
Snowpark
Snowpark
Delta Lake
Delta Lake
Apache Iceberg
Apache Iceberg
AWS
AWS
Azure Data Factory
Azure Data Factory
Azure Data Lake Storage
Azure Data Lake Storage
Matillion
Matillion
06Curriculum Plan

Systematically layered foundations.

Sequential core units structured logically to compile robust engineering outcomes.

01sql-fundamentals
SQL Fundamentals for Data Engineering
4 Weeks
Introduction to SQLDDL, DML, DCL, TCLJoins & SubqueriesWindow FunctionsCTE & Views
02data-warehousing
Data Warehousing Concepts
3 Weeks
What is Data WarehousingOLAP vs OLTPETL vs ELTFact & Dimension TablesStar & Snowflake Schemas
03snowflake-core
Snowflake Architecture & Core Concepts
4 Weeks
Snowflake ArchitectureVirtual WarehousesDatabases, Schemas & TablesStages & File FormatsTime Travel & Zero Copy Cloning
04snowflake-loading
Data Loading & Governance in Snowflake
3 Weeks
COPY Command & Bulk LoadingSnowpipe & Continuous IngestionHandling Semi-Structured DataUnloading Data to Cloud StorageRBAC & Role Management
05snowflake-advanced
Advanced Snowflake Features
4 Weeks
Streams & TasksDynamic TablesDirectory & Event TablesPerformance OptimizationClustering & Micro-Partitions
06dbt
DBT with Snowflake
3 Weeks
Introduction to DBTDBT Models & MaterializationJinja & MacrosDBT Tests & DocumentationSnapshots for SCD
07python-airflow
Python & Apache Airflow
3 Weeks
Python for Data EngineeringSnowflake Connectivity with PythonApache Airflow ArchitectureBuilding DAGsSnowflake Operators
08bigdata-cloud
Big Data, Open Table Formats & Multi-Cloud
4 Weeks
Apache Spark & PySparkDatabricks ArchitectureDelta LakeApache IcebergAWS Services for Data Engineering
Download Curriculum
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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