Add Your Heading Text Here
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec
ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut
elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
30000+
Learners from 23+ Countries
100+ LPA
Highest CTC recorded
20000+
Students Placed
Modules covered in The
Ultimate
Data Engineering Masters Program
Milestone 1
Big Data & Spark
Weeks 1 – 13
Milestone 2
Azure & Databricks
Weeks 14 – 24
Milestone 3
Streaming & AWS
Weeks 25 – 32
Week 1 – 3
Big data – the big picture
Distributed storage & processing fundamentals
Week 4 – 9
Apache Spark in-depth
Week 10 – 11
Apache Spark optimizations
Week 12 – 13
Git, GitHub & CI/CD
Apache Hive
Power module
- Apache Spark project
- Top Apache Spark interview questions
- Data structures & algorithms
Profile optimisation
- Resume building
- LinkedIn optimisation
- Naukri profile optimisation
✓ Milestone 1 complete
Start giving interviews
Week 14
Azure Cloud fundamentals
See Azure in-depth breakdown
Cloud & core concepts
- Cloud computing basics — IaaS, PaaS, SaaS
- Azure global infrastructure — regions & availability zones
- Setting up an Azure account & subscription
- Resource groups & Azure Resource Manager
Storage & compute
- Azure Storage accounts & Blob Storage
- Azure Data Lake Storage Gen2
- Virtual machines — creation & sizing
- Azure Data Lake vs Blob Storage
Identity & governance
- Identity & Access Management (IAM)
- Role-Based Access Control (RBAC)
- Azure Active Directory / Entra ID basics
- Cost management & pricing models
Networking essentials
- Virtual networks & subnets
- Network security groups
- Azure CLI & Azure Portal navigation
Week 15 – 22 · 8 weeks
Azure Databricks in-depth
See detailed Databricks breakdown (19 topics)
Foundations
- What is Databricks & why Databricks
- Databricks Free Edition vs Azure Databricks
- High level architecture of Databricks
- Different cluster creation modes
Core workspace
- Different types of tables in Databricks
- Iceberg managed tables in Databricks
- Magic commands in Databricks
- Databricks Utilities
Lakehouse & Delta Lake
- Lakehouse architecture
- Delta Lake in depth
- Volumes
- Databricks Copy Into
- Autoloader
- Lakeflow Declarative Pipelines (earlier DLT)
Governance & deployment
- Implementing a Medallion architecture
- Governance using Unity Catalog
- Lakeflow Connect
- Lakeflow Jobs
- Deployment – Databricks Asset Bundles
Week 23 – 24
Azure Data Factory
Power module
- Azure Cloud capstone project
- Azure interview questions
✓ Milestone 2 complete
Start giving interviews
Week 25
Data modelling
Week 26 – 27
Spark Structured Streaming
Week 28
Apache Kafka
Week 29 – 31
AWS Athena
AWS EC2
AWS EMR
AWS Glue
Week 32
AWS Redshift
AWS Lambda
AWS S3
Power module
- AWS project pipeline
✓ Milestone 3 complete
Start giving interviews
Ready to Level Up Your Data Engineering Career?
Don’t just learn tools, master end-to-end Big Data & Cloud Data Engineering with hands-on projects.
- 24 Months Access to live/recorded sessions & materials
- 1-on-1 Mentorship & Instant Doubt Resolution
Tools & Services We Cover
in Our Programs
Some of the Top Companies
TrendyTech students work in Leading
Data Engineering roles
Course Fee
For Students accessing the course from India
Course Fee: ₹89,000
Limited Period Discount: ₹10,000
*Valid for limited period
6 Months No Cost EMI available on all major Credit Cards.
For Students accessing the course from outside India
Course Fee: $1075
Limited Period Discount: $150
*Valid for limited period
FAQs
Accordion Tab Title 1
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Optio, neque qui velit. Magni dolorum quidem ipsam eligendi, totam, facilis laudantium cum accusamus ullam voluptatibus commodi numquam, error, est. Ea, consequatur.
Accordion Tab Title 2
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Optio, neque qui velit. Magni dolorum quidem ipsam eligendi, totam, facilis laudantium cum accusamus ullam voluptatibus commodi numquam, error, est. Ea, consequatur.
Accordion Tab Title 3
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Optio, neque qui velit. Magni dolorum quidem ipsam eligendi, totam, facilis laudantium cum accusamus ullam voluptatibus commodi numquam, error, est. Ea, consequatur.