BUILD SKILLS COMPANIES PAY FOR
Become a Azure Data Engineer
Work on Real-Time Data Pipelines
Learn Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Event Hubs, and Azure Data Lake through practical, industry-grade projects, live mentor guidance, and interview-focused training—no prior cloud experience required. Gain hands-on experience building batch and real-time data pipelines, designing high-performance data warehouses, and orchestrating workflows using production-ready Azure data architectures.
You’ll work on real enterprise use cases, apply cost optimization, security, and monitoring best practices, and gain the confidence to design, explain, and defend Azure data architectures in real interviews—skills actively used by top technology companies.
⭐ Trusted by 3,000+ Learner
100% Success Rate
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100% Success Rate
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Ideal For
Fresher
Professional Upskillers
Working Professionals
Cloud Engineering Experts
Cloud Engineers
Analytical Professionals
Analysts
Career Changers
Career Switchers
Why Choose LevelUp for Azure Data Engineering?
Advanced Azure
Architecture Expertise
Learn enterprise-grade Azure data architectures, including lakehouse design, medallion architecture, cost optimization, security, and performance tuning—skills that separate beginners from senior-level candidates.
Real-Time & Streaming Data Engineering
Hands-on experience with Event Hubs, Azure Stream Analytics, and near real-time pipelines, so you’re prepared for modern, high-demand Azure DE roles.
🔥 Production-Ready Best Practices
Understand how real companies build data systems:
Error handling & monitoring
Data quality checks
Logging & alerting
Scalability & fault tolerance
👉 This is what interviewers look for beyond basic pipelines.
🔥 DevOps & Automation for Azure Data Engineers
Gain exposure to
CI/CD pipelines for ADF & Databricks
nfrastructure as Code (ARM / Bicep / Terraform – exposure)
Git-based deployment workflows
🔥 Mentor-Led, Personalized Guidance
Direct access to industry mentors
Regular 1:1 feedback on projects and interview readiness
Personalized learning & transition roadmap
What You Will Learn
ADLS
Gen2
Azure Data
Factory (ADF)
Azure Databricks (PySpark + Delta)
Azure Synapse
Analytics
Azure SQL &
SQL Pools
Medallion Architecture
CI/CD with
Azure DevOps
Event Hub + Stream Analytics
Monitoring & Logging
End-to-End Realtime Pipelines
Our Curriculum
- Python basics & environment setup
- Data types, variables, operators
- Conditional statements & loops
- Functions, error handling, file handling
- Data structures (List, Tuple, Set, Dictionary)
- NumPy & Pandas
- Data cleaning & manipulation
- Mini ETL project
- Spark architecture & cluster modes
- RDD operations (map, filter, reduce, joins)
- DataFrame operations & Spark SQL
- Window functions & UDFs
- Performance tuning & optimization
- Structured streaming (Kafka integration)
- Delta Lake & schema evolution
- End-to-end projects (Real-time pipeline, Data Lake ETL)
- OLTP vs OLAP
- Data Warehouse vs Data Lake vs Data Mart
- Fact & Dimension tables
- Slowly Changing Dimensions (SCD Types)
- Star & Snowflake schema
- Real-world case studies
- Cloud concepts & service models (IaaS, PaaS, SaaS)
- Azure account setup
- Azure portal overview
- Azure Synapse overview
- Serverless SQL pools
- Data masking & security
- Modern data warehouse design
- Slowly changing dimensions implementation
- Big data processing with Spark pools
- Data ingestion using notebooks
- DataFrame transformations
- Spark & SQL pool integration
- Databricks architecture
- Reading & writing data
- DataFrame transformations (basic & advanced)
- Cost-optimized query design
- Best practices for data loading
- Large-scale ingestion using
- Azure Data Factory
- Azure Synapse Pipelines
- Code-free transformations
- Orchestration using ADF & Synapse Pipelines
- Query performance tuning
- Storage optimization
- Dedicated SQL pools
- Azure Synapse Link
- Querying Cosmos DB using
- Spark
- Serverless SQL
- Data warehouse security
- Azure Key Vault
- Compliance & sensitive data protection
- Azure Event Hubs
- Azure Stream Analytics
- Structured streaming with Databricks
- Reporting with Power BI
- Azure Synapse integration
- ML workflows in Azure Synapse
- End-to-end ML pipelines
- Airflow architecture & components
- DAGs, operators & scheduling
- Workflow orchestration
- Snowflake architecture
- Data loading & unloading
- Performance tuning & caching
- Security & access control
- Semi-structured data & data sharing
Level Up has helped build 5000+ Careers
What You Will Learn
ADLS
Gen2
Azure Data
Factory (ADF)
Azure Databricks (PySpark + Delta)
Azure Synapse
Analytics
Azure SQL &
SQL Pools
Medallion Architecture
CI/CD with
Azure DevOps
Event Hub + Stream Analytics
Monitoring & Logging
End-to-End Realtime Pipelines
Meet Our founder
Sateesh pabbathi
I’m Sateesh Pabbathi, Founder and CEO of LevelUp Cloud Trainings Pvt. Ltd., with 20+ years of hands-on experience in Cloud Computing, Data Engineering, and DevOps. I’ve delivered large-scale global projects across AWS, Azure, and GCP—not theory, not slides, but real production systems used by real companies. Today, I leverage that exact industry experience to help IT professionals transition into high-paying Data Engineering roles in just 90 days. Over the years, I’ve helped professionals break out of support, testing, and non-technical roles and move into core Data Engineering positions with strong career and salary growth through project-driven, interview-focused training. My approach emphasizes hands-on labs, real-world use cases, and resume-ready projects, while simplifying complex cloud and data concepts into practical, job-ready frameworks—all with a clear focus on measurable career outcomes, not just certifications.
Projects
ADLS → ADF → Databricks → Synapse
DLT Pipeline with Delta Lake
Real-time Event Hub ingestion
Incremental load with watermarking
Data warehouse modeling
Real word project that will not just tech you tools, instead make you real industry ready professional.
Project Demo
Trainer Info
Course taught by Azure Data Engineering Architects with real project experience in enterprise-scale data pipelines.
Trainer Info
- Azure Data Factory
- Azure Databricks (PySpark, Delta Lake)
- Azure Synapse Analytics
- Event Hub & Streaming Analytics
- CI/CD with Azure DevOps
Every concept is taught with real project context — exactly how it’s used in production systems.
Experience
11+ years in Data Engineering & Cloud
Worked With
Microsoft Partner Firms,
Our 3-Step Approach to Get You Interview-Ready and Placed
🚀 Profile Building That Gets You HIRED
- Recruiter-approved, ATS-cracking resumes that actually get shortlisted
- LinkedIn profiles engineered to attract recruiters, not just look good
- Personal branding built across top hiring platforms used by real companies
- Profiles customized specifically for high-paying Data Engineering & Cloud roles
👉 Stop getting ignored. Start getting interview calls.
01
🤝 Referrals That Open Doors
- Direct referrals through our elite alumni & mentor network
- Access to hidden job openings that never reach job portals
- Personal referrals from instructors who actively recommend you
- Proven referral strategies that multiply interview chances
👉 Referrals beat applications. We make sure you get them.
02
🏢 Company Tie-Ups That Convert to Interviews
- 500+ active hiring partners across product, MNC, and startup ecosystems
- Hand-picked job opportunities matched to your skill readiness
- Real interview connections with top tech and product firms
- Continuous access to live openings, hiring drives, and fast-track interviews
👉 We don’t just train you. We connect you to companies that hire.
03
Career Outcomes
Graduates typically move into roles such as
Azure Data Engineer
Big Data Engineer
Analytics Engineer
Cloud Data Engineer
Hiring companies include product firms, MNCs, fintech, healthcare, and SaaS companies.
Student Success Stories
Ankit Sharma
The real-time projects and Databricks training helped me switch careers confidently.
Before
Manual QA Engineer
After
Manual QA Engineer
FinTech Startup
Priya Nair
Medallion architecture and streaming pipelines were exactly what interviewers asked.”
Before
Data
Analyst
After
Senior Azure Data Engineer
FinTech Startup
Rahul Mehta
LevelUp gave me real project experience even before my first job
Before
Manual QA Engineer
After
Manual QA Engineer
FinTech Startup
FAQ's
Course taught by Azure Data Engineering Architects with real project experience in enterprise-scale data pipelines.
Q1. Is this course suitable for beginners?
Yes, we start from basics.
Q2. Do I get OTT access?
Yes, all students get lifetime OTT access.
Q3. Is there placement support?
Yes — resume, interview prep, mock interviews.
Free Webinar & Demo Access
Register for Free Live Webinar
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