01
SQL
SQL for Data Engineering
✓ Introduction to SQL✓ DDL, DML, DCL, TCL✓ Joins & Subqueries✓ Window Functions✓ Views & Indexes✓ Real-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 Batch18th June8:00 PM IST
TrainerMr. Santhosh10+ Years Industry Experience
Why Learn
Why Modern Data Engineering with AI & Fabric?
Why Choose Multi Cloud with Data Engineering Training?
Master Data Engineering on AWS, Azure & Google Cloud
Gain core practical competency in this specialized framework through hands-on exercises.
Build scalable ETL/ELT data pipelines in multi-cloud environments
Gain core practical competency in this specialized framework through hands-on exercises.
Work on real-time cloud data engineering projects
Gain core practical competency in this specialized framework through hands-on exercises.
Design and implement modern data lake & data warehouse solutions
Gain core practical competency in this specialized framework through hands-on exercises.
Gain hands-on experience with Python, SQL, Spark & Big Data tools
Gain core practical competency in this specialized framework through hands-on exercises.
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.
About the Course
Deliberately sequenced architecture.
Not simple video playlists, mentor-driven engineering sprints optimized directly for scaling up skills.
INSTRUCTOR-LED SPRINT DETAILS
Over 16 weeks of live, mentor-led training, you will move from fundamentals to advanced concepts through hands-on project sprints.
OUTCOMES
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
Curriculum Plan
Systematically layered foundations.
Sequential core units structured logically to compile robust engineering outcomes.
02
PYTHON
Python for Data Engineering
✓ Python Basics✓ Data Types & Control Flow✓ Functions & OOP✓ File Handling✓ Python Libraries✓ Python with Data Pipelines
03
DATA-WAREHOUSING
Data Warehousing & Modeling
✓ What is Data Warehousing✓ OLAP vs OLTP✓ ETL vs ELT✓ Fact & Dimension Tables✓ Star & Snowflake Schemas✓ Slowly Changing Dimensions (SCD)
04
BIG-DATA
Big Data Foundations
✓ Introduction to Big Data✓ Hadoop Architecture✓ HDFS & MapReduce✓ Spark Overview✓ RDD & DataFrames✓ PySpark Basics
05
AZURE
Microsoft Azure Data Engineering
✓ Azure Fundamentals✓ Azure Blob Storage✓ Azure Data Lake Storage✓ Azure SQL Database✓ Azure Data Factory✓ End-to-End Azure Pipelines
06
AWS
AWS Data Engineering
✓ AWS Fundamentals✓ Amazon S3✓ AWS Glue✓ AWS Lambda✓ AWS EMR✓ End-to-End AWS Pipelines
07
GCP
Google Cloud Data Engineering
✓ GCP Fundamentals✓ Cloud Storage✓ BigQuery✓ Cloud SQL✓ Cloud Functions✓ End-to-End GCP Pipelines
08
CICD
CI/CD & DevOps for Data Engineering
✓ DevOps Fundamentals✓ Git & GitHub✓ CI/CD Pipelines✓ Environment Configuration✓ End-to-End CI/CD Pipeline
Resources
Engineering tasks that compound.
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
Module References
Running Notes & Code
- 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
Alumni Actions
Real reviews from successful students.
Join a thriving network of industry professionals. Read what our graduates say about their career transformation journey.
★★★★★
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.
Career Launch
Placement networks that act actively.
Our active alumni ecosystem supports you with live workshops, direct placement updates, and mock practice panels until you get hired.
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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