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
Learn to build and deploy cloud infrastructure using services like S3, Synapse, and BigQuery.
Build scalable ETL/ELT data pipelines in multi-cloud environments
Automate data workflows using Apache Spark, PySpark, Databricks, and Apache Airflow.
Work on real-time cloud data engineering projects
Process high-velocity streaming data and optimize query performance on massive datasets.
Design and implement modern data lake & data warehouse solutions
Architect scalable data systems that enable rapid downstream machine learning and analytics.
Gain hands-on experience with Python, SQL, Spark & Big Data tools
Write optimized queries and data manipulation scripts to handle raw enterprise data securely.
Automate testing with DataOps
Build CI/CD pipelines to validate raw schema configurations and data quality before deployment.
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.
Data Architects
Learn to design and manage complex pipelines across AWS, Azure, and Google Cloud.
About the Course
Structured, project-based learning.
Go beyond passive video playlists. Learn through mentor-guided coding sprints designed to build real-world engineering skills.
16-Week Structured Sprints
Over 16 weeks of live, mentor-led training, you will move from fundamentals to advanced concepts through hands-on project sprints.
100% Live Practice & Feedback
Sessions are 100% online and live - taught personally by industry practitioners. Every week ends with an assignment reviewed and graded by your mentor.
End-to-End Career Support
Career support continues until you land your first interview call. We help with LinkedIn & Naukri profile building, resume writing, mock interviews, and corporate etiquette.
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
Step-by-step curriculum roadmap.
Progress logically from foundational concepts to advanced, production-ready engineering skills.
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
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.
95,000+
Multi-Cloud Data Engineer Openings
₹10 - 24 LPA
Median Cloud Data Specialist Salary
26% YoY
Increase in Cross-Cloud Platform Roles
82%
Enterprises Operating on Multi-Cloud
Alumni Actions
Real reviews from successful students.
Join a thriving network of industry professionals. Read what our graduates say about their career transformation journey.
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 Enrollment Open
Secure your seat for the upcoming batch.
Talk to our team about flexible pacing, project options, and scheduling before you enroll.
Frequently Addressed Inquiries
What is the duration of the Multi-Cloud Data Engineering course?
4 months of live online training, with 365 days of LMS access.
Why is a multi-cloud approach valuable?
Modern enterprises distribute their workloads across AWS, Azure, and Google Cloud. Knowing how to engineer data systems across these clouds makes you highly sought after.
What big data and data pipeline tools will I learn?
Python, SQL, Apache Spark, PySpark, Databricks, Snowflake, Azure Data Factory, and AWS Glue. We also cover DataOps methodologies for automated pipeline testing and deployment.
Is there placement assistance provided?
Yes, we provide full placement support, mock interviews, and career counseling until you get your first job offer.
Enroll Now
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