Become an Azure Data Engineer in 90 Days – LevelUp Cloud Trainings

Become an Azure Data Engineer in 90 Days

🎁 Psst… scroll to the bottom — we left you a BIG surprise!

Master Azure Data Factory, Synapse Analytics, Azure Data Lake, Event Hubs & Databricks through live mentor sessions, real enterprise projects, and interview-focused training — no prior cloud experience needed.

★★★★★ 4.9/5 by 500+ Learners
🏆5,000+ Careers Built
🎓MCT Certified Trainer
📍Live Batches — Hyderabad
Live Placement Feed
R
Ravi Kumar · Bangalore
Placed at Google₹22 LPA
2h ago
P
Priya Sharma · Hyderabad
Placed at Infosys₹18 LPA
5h ago
A
Arjun Reddy · Pune
Placed at TCS Digital₹16 LPA
1d ago
S
Sneha Iyer · Chennai
Placed at Wipro₹14 LPA
2d ago
📈 Before vs After LevelUp
Before
₹3–4 LPA
After
₹30 LPA
📊 Based on 500+ alumni data
🔔 Right Now
👀
47 people viewing this page
right now
Next batch fills in 3 days
Only 8 seats remaining
💰 Avg Salary Hike
₹4 LPA ₹30 LPA
400% hike · 500+ alumni data
🔥 Top Skills
🔷Synapse
🏭ADF
📨Event Hubs
🐍PySpark
🎯 Projects You'll Build
Zomato Batch Pipeline
Flipkart Real-Time Stream
Netflix PySpark ETL
LinkedIn BigQuery DW
End-to-End Capstone
🟢 Batch Status
Weekend Batch
Starts Soon · Hyderabad
8
seats left
₹12–30 LPA Avg Salary · Azure Engineers India (Max ₹30 LPA)
60%+ YoY Growth in Azure Job Openings
500+ Hiring Partners · Product Firms & MNCs
90 Days to Job-Ready Curriculum
Limited Seats Available

Start Your Journey
Today — For Free

One free demo class changes everything. See Sateesh live, get your Azure roadmap, and decide with zero pressure.

🎥
Live 90-Min Demo Class
Real BigQuery coding with Zomato dataset
🗺️
Azure Career Roadmap PDF
Your Azure 90-day plan — delivered instantly
💬
WhatsApp Group Access
Connect with 500+ active learners
🎁
Bonus: 19 Free Course Access
Python, SQL, AWS, Azure + 16 more unlocked
Total value you're getting:
₹2,40,000 FREE
🚀 Get Your Free Demo Class
Receive Azure Career Roadmap + Live Demo access instantly
No credit card required. Instant confirmation on WhatsApp.
🎉

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47 students registered in the last 24 hours
Career Transformation

See the Salary Jump
After 90 Days

⬅ Before Program ₹3–4 LPA

Typical salary in support, testing, or junior analyst roles with no cloud skills.

✨ After Program ₹12–30 LPA

Average placement salary for LevelUp Azure Data Engineering graduates.

🚀 Up to 400% Salary Hike — Based on 500+ Alumni Data

Technologies You'll Master

The Complete Azure
Data Engineering Stack

Every tool taught in production context — the exact way top companies use them

🔷
Synapse Analytics
Data Warehouse
🌊
Azure Data Lake
ADLS Gen2
🏭
Azure Data Factory
ETL / Pipelines
📨
Event Hubs
Streaming
Azure Databricks
Spark / Lakehouse
🎼
Azure Airflow
Orchestration
🐍
PySpark
Big Data ETL
💎
Delta Lake
Lakehouse
🔒
Azure IAM
Security & RBAC
🤖
Azure ML
ML & AI Studio
Why Choose LevelUp

Built for the
Job Market

Not generic cloud training — a career-focused program designed around what companies actually hire for

🏗️
Enterprise Azure Projects

Build complete batch and real-time data platforms using ADF, Synapse, ADLS Gen2, Event Hubs, and Databricks — following real enterprise architectures from Flipkart, Swiggy, and MNCs.

📊
Synapse & ADF Deep Dive

Design high-performance data warehouses using Synapse Analytics with advanced SQL, dedicated pools, distribution strategies, and cost-efficient query patterns — not just surface-level queries.

🌊
Real-Time Streaming Pipelines

Implement event-driven architectures using Event Hubs and Azure Stream Analytics with windowing, triggers, dead-letter queues, and secure messaging patterns used in production.

🎯
Interview-Focused Training

250+ real Azure interview questions, architecture walkthroughs, and mock sessions. Design, explain, and defend data architectures in interviews with confidence.

👨‍🏫
Live Mentor Guidance

Direct access to Sateesh Pabbathi — MCT Certified Trainer with 22+ years of industry experience. Live doubt sessions, code reviews, and architecture mentorship included.

🚀
Placement Support

ATS-cracking resumes, LinkedIn profile optimization, alumni referrals, and 500+ hiring partners. We don't just train you — we connect you to companies that hire.

12-Module Curriculum

Your 90-Day Roadmap
to Azure Mastery

Industry-aligned Azure syllabus from fundamentals to production-grade engineering — structured in 3 focused phases

P
1

🧱 Foundation Layer

Build your cloud mindset and PySpark muscle. Everything here becomes the scaffolding for Phases 2 & 3. Master the basics cold.

Days 1–304 Modules
01
Data Engineering & Azure Foundations
Days 1–7
☁️
Batch vs StreamingOLTP vs OLAPAzure SetupIAM Intro
Outcome: Set up Azure subscription, configure IAM/RBAC roles, and confidently explain cloud architecture in interviews.
02
Azure Data Lake & Storage Gen2
Days 8–14
🪣
ADLS Gen2Parquet/DeltaLifecycleContainers
Outcome: Design and manage a production-grade ADLS Gen2 data lake with proper access tiers, containers, and file formats.
03
PySpark Fundamentals
Days 15–21
RDD vs DataFrameTransformationsGCS Read/Write
Outcome: Write and run PySpark jobs end-to-end — read from GCS, transform data, and write results back.
04
PySpark Advanced & Performance
Days 22–30
🔥
Window FunctionsUDFsShuffle OptimizationCaching
Outcome: Diagnose Spark performance issues, write optimized UDFs, and tune shuffle-heavy jobs.
⬇️
P
2

⚙️ Core Engineering

Plug into the real Azure ecosystem. Databricks, Synapse, and ADF are the job-market trifecta — this phase is where your resume starts looking dangerous.

Days 31–604 Modules
05
Azure Databricks & Lakehouse
Days 31–37
🏗️
Delta LakeACIDTime TravelIncremental ETL
Outcome: Build a Bronze → Silver → Gold Medallion pipeline on Databricks with Delta Lake guarantees.
06
Azure Synapse Foundations
Days 38–44
📊
Serverless PoolDedicated PoolADLS LoadSynapse Studio
Outcome: Load, query, and manage datasets in Synapse Analytics — including external tables over ADLS Gen2.
07
Synapse Advanced SQL & Optimization
Days 45–51
🧮
DistributionIndexingCost OptimizationMaterialized Views
Outcome: Write cost-optimized queries using distributions and indexing — cut query costs by 80%.
08
Azure Data Factory – Pipelines
Days 52–60
🌊
ADF PipelinesADLS→SynapseError HandlingMonitoring
Outcome: Deploy a fully managed ADF batch pipeline from ADLS Gen2 to Synapse with error handling and monitoring.
⬇️
P
3

🏆 Production & Mastery

Real-time pipelines, orchestration, governance, and a capstone project that goes straight into your portfolio. This separates juniors from seniors.

Days 61–904 Modules
09
Streaming – Event Hubs + Stream Analytics
Days 61–68
📡
Event-DrivenWindowingReal-Time ETLDead-Letter
Outcome: Build a real-time event ingestion pipeline — Event Hubs → Stream Analytics → Synapse — with windowed aggregations.
10
Microsoft Fabric & Power BI
Days 69–75
🔩
Fabric LakehouseOneLakePower BIvs Synapse
Outcome: Build end-to-end Fabric solutions with OneLake and Power BI — and know when to choose Fabric over Synapse.
11
Azure Airflow & Orchestration
Days 76–82
🎼
DAGsSensorsRetry LogicSLA Monitoring
Outcome: Orchestrate multi-step Azure pipelines with Airflow DAGs, ADF triggers, retries, and SLA alerts.
12
Governance, Azure ML & Capstone
Days 83–90
🎓
Azure IAMAzure MLPower BICapstone
Outcome: Ship a portfolio-ready capstone — end-to-end Azure pipeline with ML model, governance, and Power BI dashboard.
Real-World Projects

Build 5 Production-Grade
Projects

Not toy examples. Real pipelines inspired by how Netflix, Zomato, LinkedIn & Swiggy actually run their Azure data platforms.

🪣 Batch Pipeline
Zomato Use Case
GCS → Dataflow → BigQuery Analytics Pipeline

Build the same batch ingestion pipeline Zomato uses to process millions of daily orders — with error handling, dead-letter queues, and cost optimisation at scale.

GCSApache BeamBigQueryCost Monitoring
📡 Real-Time Streaming
Flipkart Use Case
Pub/Sub → Dataflow Real-Time Streaming

Ingest live Flipkart order events the way they handle Big Billion Day traffic — with windowing, late data handling, and Looker Studio alerting dashboards.

Pub/SubDataflowWindowingLooker Studio
🔥 Spark ETL
Netflix Use Case
PySpark ETL on Dataproc + Databricks

Process Netflix-scale datasets — watch history, recommendations, engagement metrics — with Delta Lake transformations and Dataproc vs Databricks benchmarking.

PySparkDataprocDelta LakeBenchmarking
🏢 Data Warehouse
LinkedIn Use Case
BigQuery Enterprise Data Warehouse Design

Design LinkedIn's talent analytics warehouse — dimensional modelling, partitioning, clustering, nested arrays, and query patterns for Infosys-scale HR datasets.

BigQuerySQLData ModellingPartitioning
🎼 Orchestration
Swiggy Use Case
Airflow-Based Data Orchestration on Cloud Composer

Orchestrate Swiggy's multi-step delivery analytics across GCS, Dataflow, BigQuery, and Dataproc — with retries, SLA alerts, and failure handling DAGs.

Cloud ComposerAirflowDAGsSLA Alerts
Portfolio Ready
🏆 Capstone Project
Multi-Company Simulation
End-to-End Azure Data Platform
— Full Stack Capstone

Design and deploy a complete production data platform from raw ingestion to analytics layer — simulating the data infrastructure of a mid-sized Indian startup like Meesho or CRED. Architecture review, CI/CD deployment, documentation, and a mock client presentation you can show in interviews.

Full StackCI/CDPortfolioArchitecture ReviewMock PresentationAll GCP Services
5+GCP Services
8+Real Datasets
1Full Platform
90Days to Build
🎬 See It Before You Decide

Watch a Real
Live Class in Action

Not a sales pitch — an actual class. See Sateesh break down a BigQuery pipeline using a Zomato dataset, live on screen. If this doesn't excite you, nothing will.

▶ Watch Free Demo Class

BigQuery Pipeline Build · Zomato Order Analytics · 47 mins

⏱️ 47 Min Full Class
🔥 BigQuery Live Coding
🍕 Zomato Real Dataset
💬 Student Q&A Included
🎯 Interview Questions Covered
50+ Assignments
levelupedu.net / assignments / bigquery-module-7.pdf
LevelUp GCP — Assignment Vol. 7
BigQuery Advanced SQL & Optimisation · Module 07
🎯 Scenario: Zomato Order Analytics Platform
Q1. Write a partitioned query to find the top 10 restaurants by revenue in Mumbai for Q3 2024. Explain how partitioning reduces scan cost vs a full table scan.
Q2. Design a clustered table schema for Flipkart's product catalog (100M+ rows). Show EXPLAIN output before and after clustering.
💻 Hands-On Code Lab
CREATE OR REPLACE TABLE zomato.orders_partitioned
PARTITION BY DATE(order_timestamp)
CLUSTER BY city, restaurant_id AS
SELECT * FROM zomato.orders_raw;
-- Expected: 80% cost reduction on city-filtered queries
Battle-Tested Assignments

Assignments That
Actually Teach You to Think

Every assignment is built around a real company scenario — Zomato, Flipkart, Apollo Hospitals, HDFC Bank. Not textbook exercises. Actual production-grade challenges that show up in senior engineer interviews.

🎯
Scenario-Based Problems
Every assignment uses a real Indian company dataset — so you're solving for Zomato scale, not fake CSV files with 100 rows.
💡
Hint System + Answer Keys
Structured hints guide you when you're stuck. Full solution walkthroughs with explanation of every line — no copy-pasting without understanding.
📊
250+ Problems Across 12 Modules
SQL, PySpark, Dataflow, BigQuery, DAG design — every module ships with 20+ graded assignments that build on each other.
🔍
Code Review by Sateesh
Submit your solutions and get direct feedback on code quality, cost efficiency, and interview-readiness from Sateesh himself.
Interview Domination System

We Don't Prepare You
for Interviews. We Make
You Ace Them.

Most training stops at concepts. We go all the way to the room — mock sessions, live architecture Q&As, and 250+ curated questions that Infosys, TCS, Wipro, and product MNCs actually ask. You won't just answer questions. You'll own the conversation.

250+ Real GCP Questions
5+ Mock Sessions
10 Question Volumes
90% Interview Hit Rate
💼 Asked at Infosys
🔴 Hard
You have a BigQuery table with 500M rows growing at 2M/day. Partitioning by date alone isn't cutting query costs. Walk me through your optimisation strategy.
Combine date partitioning with multi-column clustering (city + restaurant_id). Use slot reservations, materialized views for hot aggregations, and BI Engine for sub-second dashboard queries. Show INFORMATION_SCHEMA to prove cost reduction.
BigQuery Partitioning Cost Optimisation
💼 Asked at Wipro
🟡 Medium
Design a fault-tolerant Pub/Sub to BigQuery pipeline for a Flipkart flash sale expecting 50k events/second. How do you handle late-arriving data?
Use Dataflow with fixed + sliding windows. Set allowed lateness to 2 hours, write late data to a dead-letter BigQuery table. Auto-scale workers, enable Streaming Engine for 40% cost reduction.
Pub/Sub Dataflow Windowing
💼 Asked at TCS
🟡 Medium
When would you choose Dataproc over Databricks for a PySpark workload on GCP? Give a concrete example.
Dataproc when existing Hadoop/Spark jobs need GCP lift-and-shift with minimal code changes and GCS as storage. Databricks when Delta Lake ACID transactions, Unity Catalog governance, or MLflow are required.
Dataproc Databricks Architecture
🏅 India's Most Complete Learning System

The LMS That Puts Every
Other Platform to Shame

One topic. Seven ways to master it. Videos, notes, code, interview questions, hands-on labs, MCQs — everything in one screen. This isn't just a course platform. This is your unfair advantage.

🎓 LevelUp LMS — BigQuery Module 7: Advanced SQL
LIVE PLATFORM
🎬 Video Lesson
📝 Study Notes
💻 Code Lab
🎯 Interview Qs
🧪 Hands-On Doc
📊 MCQ Quiz
🏆 Progress
Module 7: BigQuery Advanced SQL & Optimisation
🎬 Video
📝 Notes
💻 Code
🎯 Interview
🧪 Lab
📊 MCQ
🎬 Current Lesson
🎓
BigQuery Partitioning Deep Dive · 38 min
62% complete · 14 min remaining
🎯 Interview Questions
How does BQ partition pruning work?
Partition vs Clustering — when to use what?
Explain slot reservations with example
How to detect expensive queries in BQ?
Materialized views — trade-offs?
📊 MCQ Quiz · 12 Questions
✓ A partitioned table scans fewer bytes when...
✗ Clustering is applied at write time... (Review)
○ The max columns for clustering in BQ is...
Score: 8/12 · Retry recommended on 4 questions
🧪 Hands-On Lab
Lab 1: Create partitioned Zomato table
Lab 2: Add clustering by city + rest_id
Lab 3: Compare INFORMATION_SCHEMA
Lab 4: Build materialized view
2/4 Complete Est. 45 mins
🎬
HD Video Lessons
Every topic taught by Sateesh with live coding, production scenarios, and rewind-friendly chapters.
120+ Videos
📝
Structured Notes
Beautifully formatted PDF study notes for every topic — print-ready, interview-ready, always updated.
12 Modules
💻
Live Code Labs
Run real GCP pipelines in your browser — no setup needed. Code, break it, fix it, understand it.
50+ Labs
🎯
Per-Topic Interview Q&As
Not a generic list — curated questions per module from real interviews at Infosys, TCS, Wipro & MNCs.
250+ Questions
🧪
Hands-On Lab Docs
Step-by-step lab guides with screenshots, expected outputs, and a "what went wrong" debug section.
40+ Docs
📊
MCQ Quizzes
Topic-level MCQs with instant feedback, detailed explanations, and a retry system to lock in concepts.
500+ MCQs
📈
Progress Tracker
Visual dashboard tracks your completion across all 7 content types per module — see exactly where you stand.
Real-Time
🏆
Completion Certificates
Verifiable LevelUp certificates for each module and the full program — shareable directly to LinkedIn.
12 Certs
Sateesh Pabbathi
22+ Years Experience
Your Mentor
Sateesh
Pabbathi

Microsoft Certified Trainer (MCT) with 22+ years of hands-on data engineering experience. Trained 5,000+ professionals across Hyderabad and beyond.

🎓 MCT Certified
☁️ Azure Expert
22+ Years Exp.

Sateesh's signature story-driven teaching methodology breaks complex cloud concepts into real-world analogies using companies like Zomato, Flipkart, and Infosys — so you don't just understand Azure, you feel it. Every session includes live coding, architecture reviews, and Q&A until every student gets it.

5,000+ Students Trained
250+ Interview Q&As
4.9★ Avg. Rating
Student Stories

Real People,
Real Transformations

"
↑ ₹4.2L → ₹14L LPA

Coming from a testing background, I had zero cloud knowledge. Sateesh's Zomato and Flipkart analogies made BigQuery and Dataflow click instantly. Got placed at a product MNC in just 3 months.

R
Ravi Kumar
Azure Data Engineer · Bangalore
★★★★★
"
↑ ₹6L → ₹18L LPA

The capstone project alone opened 4 interview calls. Interviewers were impressed that I had built an end-to-end platform — not just theory. Sateesh's mock sessions prepared me for every tough question.

P
Priya Sharma
Data Engineer · Hyderabad
★★★★★
"
↑ ₹3.8L → ₹12L LPA

I was a fresher who couldn't even spell BigQuery. After 90 days, I deployed my own Pub/Sub streaming pipeline and walked into interviews talking like a senior engineer. Best investment of my life.

A
Arjun Reddy
Cloud Data Engineer · Pune
★★★★★
FAQ

Got Questions?

Do I need prior cloud or coding experience? +
No prior cloud experience is needed. We start from absolute zero — GCP account setup, basic Python — and build up to production-grade pipelines. If you can use a laptop, you can join this program.
Are the classes live or recorded? +
All sessions are live on Zoom/Google Meet with Sateesh directly. Every session is also recorded and available in your student portal for lifetime access — so you can revisit any topic at any time.
What is the batch schedule and duration? +
The program runs for 90 days with weekend batches (Saturday + Sunday) and optional weekday doubt-clearing sessions. Total live hours: 120+ hours. You can also choose weekday evening batches.
What kind of placement support is provided? +
We provide ATS-optimised resume writing, LinkedIn profile makeover, referrals to 500+ hiring partner companies, 5+ mock interview sessions, and alumni network access. We've placed students at Infosys, TCS, Wipro, startups, and product MNCs.
Will I get Azure certification guidance? +
Yes. The curriculum is aligned with the Azure Professional Data Engineer certification. We cover exam-specific topics, provide practice question banks (250+ questions), and offer a dedicated certification prep session in the final week.
What is the fee and are EMIs available? +
Book a free demo class first — fees and batch details are shared during the demo based on your background and batch preference. EMI options are available with 0% interest for up to 6 months via major banks.

Ready to Become a
Azure Data Engineer?

Join 5,000+ students who transformed their careers with LevelUp. The next batch starts soon — seats are limited.

🎁 Here's Your Surprise 🎁

Enroll for Azure & Get the
Complete Ecosystem. FREE.

A great Data Engineer knows the entire stack — not just one tool. Enroll in our Azure Data Engineer program and we unlock 19 complete courses absolutely FREE. Because your career demands the full picture.

💰 Market value of these courses: ₹2,40,000 FREE
🐍
Python
Foundation
Every data pipeline starts here
FREE
🗄️
SQL
Must-Know
The language of all data
FREE
PySpark
Big Data
Process billions of rows
FREE
🐧
Linux
OS Essentials
Run every server & cluster
FREE
💎
Databricks
Lakehouse
Delta Lake & Unity Catalog
FREE
☁️
Azure Data Engineer
⭐ Main Course
Your 90-day transformation
INCLUDED
🟠
AWS Data Engineer
Cloud
S3, Glue, Redshift, Kinesis
FREE
☁️
GCP Data Engineer
Cloud
BigQuery, Dataflow, Pub/Sub
FREE
🧵
Microsoft Fabric
Next-Gen
The future of data platforms
FREE
🏗️
Terraform
IaC
Provision cloud infra as code
FREE
📄
YAML
Config
Power every pipeline config
FREE
🐙
GitHub
Version Control
Collaborate on every project
FREE
🐼
Pandas
Data Wrangling
Transform data like a pro
FREE
🔢
NumPy
Numerical
Power behind every ML model
FREE
🎼
Airflow
Orchestration
Schedule every pipeline
FREE
🔧
Data Engineering
Core Concepts
Architecture, patterns & design
FREE
🤖
GenAI
Future-Proof
RAG, LLMs & Vector DBs
FREE
🐳
Docker
Containers
Package & ship pipelines
FREE
📦
ECS
AWS Containers
Deploy at enterprise scale
FREE
🎓

One Enrollment. Full Ecosystem. Zero Extra Cost.

Enroll in Azure Data Engineer and we hand you the complete data engineering ecosystem — 19 courses, every tool, every skill. No extra fees. No conditions. Just results.

⏳ Bonus access available for limited batch seats only

LevelUp Cloud Trainings · Crafted by Sateesh Pabbathi · MCT Certified Trainer · Hyderabad, India · levelupedu.net
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Instructor
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Azure Data Engineer

Azure-Data-Engineering-1919x1079.webp
  • Description
  • Curriculum
  • FAQ
  • Reviews

The LevelUp Azure Data Engineer Program trains you end-to-end on Azure cloud services, data pipelines, distributed computing, and real-time ETL systems.

Available in OTT (Self-Paced) + Live Batch + Combo Plan.

Designed for

What You Will Learn

Tools Covered

Azure Storage

ADLS Gen2

ADF

Databricks

Synapse

Azure DevOps

Event Hub

Stream

Analytics

Power BI

Projects

ADLS → ADF → Databricks → Synapse Pipeline

DLT Pipeline with Delta Lake

Real-time Event Hub ingestion

Incremental load with watermarking

Data warehouse modeling (Star Schema)

Trainer Info

Course taught by Azure Data Engineering Architects with real project experience in enterprise-scale data pipelines.

Is this course suitable for beginners?
Yes, we start from basics.
Do I get OTT access?
Yes, all students get lifetime OTT access.
Is there placement support?
Yes — resume, interview prep, mock interviews.