01SQL
SQL for Data Engineering
3 WeeksIntroduction to SQLDDL, DML, DCL, TCLJoins & SubqueriesWindow FunctionsViews & IndexesReal-Time SQL Use Cases
KSR DataVizon
Modern Data Engineering with AI & Fabric
Hands-on projects with placement and LMS support.
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
Our students work at
TCS
Infosys
Wipro
Capgemini
Deloitte
IBM
HCL
EY
KPMG
PwC
Tech Mahindra
Persistent
Hexaware
LTM Limited
NokiaTCSInfosysWiproCapgeminiDeloitteIBMHCLEYKPMGPwCTech MahindraPersistentHexawareLTM LimitedNokiaDuration5 MonthsLive Training
ModeOnlineMentor-Led
Next Batch11th June8:00 PM IST
TrainerMr. Santhosh10+ Years Industry Experience
01Why Learn
Why Modern Data Engineering with AI & Fabric?
Why Choose Multi Cloud with Data Engineering Training?
01
Master Data Engineering on AWS, Azure & Google Cloud
02
Build scalable ETL/ELT data pipelines in multi-cloud environments
03
Work on real-time cloud data engineering projects
04
Design and implement modern data lake & data warehouse solutions
05
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 upskill.
Data Analysts
Already use SQL & Excel? Level up to advanced engineering.
Career Switchers
Non-tech professionals planning a complete pivot into technology.
Working Professionals
Upskill in evenings & weekends, with full LMS access for revision.
02About the Course
Deliberately sequenced architecture.
Not simple video playlists — mentor-driven engineering sprints optimized directly for scaling up skills.
Over 16 weeks of live, mentor-led training, you will move from fundamentals to advanced concepts through hands-on project sprints.
Sessions are 100% online and live — taught personally by industry practitioners. Every week ends with an assignment reviewed and graded by your mentor.
Career support continues until you land your first interview call. We help with LinkedIn & Naukri profile building, resume writing, mock interviews, and corporate etiquette.
Structured systematically. Focused clearly on active deployments.
What you walk away with
- Course Completion Certificate
- LinkedIn & Naukri profile building
- ATS-friendly resume preparation
- Support till you get interview calls
- Interview prep — tips & tricks
- Soft skills & corporate etiquette
- 365 days of LMS & recordings access
03Meet Your Trainer
Taught by active practitioners.
Lead Trainer · Modern Data Engineering with AI & Fabric
Mr. Santhosh
Industry expert with over 10 years of experience shipping production applications.
10+Years Industry
1,700+Mentees Trained
LiveOnline Sessions
4.9Trainer Rating
04Tools & Frameworks
The stack you use on the job.
Work confidently using industry platforms across core deployment targets.
SQL
Python
Data Warehousing
Big Data
Hadoop
Apache Spark
PySpark
Cloud Computing
Microsoft Azure
Azure Data Factory
Azure Data Lake Storage
Azure SQL Database
Azure Databricks
Delta Lake
Azure Synapse Analytics
AWS
Amazon S3
AWS Glue
AWS Lambda
AWS EMR
Google Cloud Platform
BigQuery
CI/CD Pipelines
Git & GitHub
06Curriculum Plan
Systematically layered foundations.
Sequential core units structured logically to compile robust engineering outcomes.
02PYTHON
Python for Data Engineering
4 WeeksPython BasicsData Types & Control FlowFunctions & OOPFile HandlingPython LibrariesPython with Data Pipelines
03DATA-WAREHOUSING
Data Warehousing & Modeling
3 WeeksWhat is Data WarehousingOLAP vs OLTPETL vs ELTFact & Dimension TablesStar & Snowflake SchemasSlowly Changing Dimensions (SCD)
04BIG-DATA
Big Data Foundations
3 WeeksIntroduction to Big DataHadoop ArchitectureHDFS & MapReduceSpark OverviewRDD & DataFramesPySpark Basics
05AZURE
Microsoft Azure Data Engineering
4 WeeksAzure FundamentalsAzure Blob StorageAzure Data Lake StorageAzure SQL DatabaseAzure Data FactoryEnd-to-End Azure Pipelines
06AWS
AWS Data Engineering
4 WeeksAWS FundamentalsAmazon S3AWS GlueAWS LambdaAWS EMREnd-to-End AWS Pipelines
07GCP
Google Cloud Data Engineering
3 WeeksGCP FundamentalsCloud StorageBigQueryCloud SQLCloud FunctionsEnd-to-End GCP Pipelines
08CICD
CI/CD & DevOps for Data Engineering
3 WeeksDevOps FundamentalsGit & GitHubCI/CD PipelinesEnvironment ConfigurationEnd-to-End CI/CD Pipeline
07Resources
Engineering tasks that compound.
A
Active Assignments
Weekly Task Reviews
- Weekly coding challenges and assignments
- Real-world schema query assignments
- Building and deploying a mini-project
- End-to-end capstone project with codebase audit
N
Module References
Running Notes
- Live session recordings — every class is recorded
- Mentor-written PDF notes for each phase
- Annotated code repositories and guides
- Cheat sheets and quick references
- Interview question bank categorized by topic
08Outcomes
Target industry positions directly.
↗ 22,300+ jobs
Data Engineer
8 - 22 LPABuild secure databases, scale workflows, and design ETL scripts.
↗ 13,400+ jobs
Snowflake Engineer
8 - 20 LPAOptimize virtual warehouses and transformations using SQL.
↗ 15,800+ jobs
ETL Developer
6 - 15 LPABuild automated pipelines and validate dataset schemas.
↗ 18,200+ jobs
Cloud Data Engineer
10 - 26 LPAOrchestrate pipelines on AWS Glue, Azure ADF, and GCP BigQuery.
↗ 9,100+ jobs
DataOps Engineer
10 - 22 LPAConfigure CI/CD pipelines for analytics infrastructure.
↗ 11,500+ jobs
Platform Engineer
11 - 26 LPAConfigure and scale Kubernetes clusters for spark computation.
10 Lakh+
Tech Jobs in India
25% YoY
Growth in Hiring
09Alumni Actions
Real reviews from successful students.
★★★★★
This is a heavy-duty data engineering program. We worked across AWS (S3, Glue), Azure (ADF, Synapse), and GCP (BigQuery). The PySpark modules on Databricks were incredibly helpful for clearing my technical rounds at Accenture.
★★★★★
Santhosh sir taught us the step-by-step pipeline designs clearly. We didn't just write scripts; we automated pipeline deployments with Git and CI/CD. The curriculum is perfectly structured for real-world cloud engineering.
★★★★★
I was looking for a course that covered more than just Python. The PySpark modules on Databricks, managing pipeline configurations in AWS Glue, and scheduling runs with Apache Airflow was exactly what I needed. Santhosh sir's real-time project diagrams made it easy to grasp.
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.
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