BUILD SKILLS COMPANIES PAY FOR
Become a AWSData Engineer
Work on Real-Time Data Pipelines
Learn AWS Glue, Amazon Redshift, Amazon EMR, Amazon Kinesis, and Amazon S3 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 AWS data architectures.
You’ll work on real enterprise use cases, apply cost optimization, security, monitoring, and scalability best practices, and gain the confidence to design, explain, and defend AWS data architectures in real interviews—skills actively used by top technology and product 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 AWS Data Engineering?
Real-World AWS Expertise
Learn from industry professionals with 20+ years of hands-on experience who’ve built and deployed production-grade AWS data platforms used by real companies worldwide.
Project-Driven, Job-Focused Training
Work on industry-grade projects covering batch + streaming pipelines, lakehouse architectures, and analytics workloads—mirroring real enterprise scenarios.
✅ Complete AWS Data Engineering Stack
Get end-to-end exposure to the tools employers actually demand
Amazon S3 (Data Lake)
AWS Glue (ETL & Catalog)
Amazon Redshift (Data Warehousing)
Amazon EMR (Big Data Processing)
Amazon Kinesis (Real-Time Streaming)
Lambda, Step Functions & Airflow (concepts)
👉 Everything you need to perform as a real AWS Data Engineer.
What You Will Learn
S3 & Storage Management
AWS Glue (Crawlers, Jobs,...
EMR (Spark/Hadoop)
Redshift &
Athena Analytics
Lambda Functions & Serverless Pipelines
Kinesis Data Streams & Firehose
Step Functions & EventBridge Orchestration
CloudWatch Monitoring & IAM Security
End-to-End AWS Data Pipelines
End-to-End Realtime Pipelines
Our Curriculum
- Data engineering lifecycle
- Batch vs streaming
- OLTP vs OLAP
- Python fundamentals
- SQL for Athena & Redshift
- AWS regions & AZs
- Shared responsibility model
- IAM users, roles & policies
- EC2, VPC & security groups
- S3 buckets, objects & storage classes
- Versioning & lifecycle policies
- Encryption (SSE-S3, SSE-KMS)
- Bronze–Silver–Gold architecture
- Batch ingestion strategies
- Full & incremental loads
- AWS CLI & boto3
- AWS DMS & CDC
- Event-driven architecture
- Kinesis Data Streams & Firehose
- Lambda triggers, retries & DLQ
- Glue architecture
- Crawlers & Data Catalog
- Glue Jobs & PySpark
- Schema evolution & cost optimization
- Spark fundamentals
- RDD vs DataFrame
- Spark optimization
- EMR architecture & cost control
- Amazon Athena
- Query optimization
- Amazon Redshift architecture
- Spectrum, sort keys & distribution styles
- Star & Snowflake schema
- SCD Types (1, 2, 3)
- Data Vault 2.0
- Lake Formation & PII security
- Enterprise AWS Data Lake
- Real-time streaming analytics
- Redshift data warehouse
- End-to-end AWS data platform
- Interview preparation
Level Up has helped build 5000+ Careers
What You Will Learn
S3
Glue
EMR
Redshift
Athena
Kinesis
Lambda
Step Functions
CloudWatch
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
S3 → Glue → Redshift ETL Pipeline
Kinesis → Lambda → S3 Streaming
EMR Spark ETL on Large Datasets
Athena-Based Analytics Lake
Step Functions Orchestration Pipeline
Real word project that will not just tech you tools, instead make you real industry ready professional.
Project Demo
Trainer Info
Trainer Name
Course taught by AWS Certified Architects with hands-on experience in scalable ETL/ELT solutions.
Expertise
- AWS Glue & ETL Pipelines
- EMR & Spark Optimization
- Redshift & Athena Analytics
- Kinesis & Lambda Streaming
- Step Functions & Serverless Orchestration
Every concept is taught with real project context — exactly how it’s used in production systems.
Experience
8+ years in Cloud & Data Engineering
Worked With
AWS Partner Firms, Product Companies
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.
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🤝 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.
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Career Outcomes
Graduates typically move into roles such as
AWS Data Engineer
Cloud Data Engineer
Big Data Engineer
Analytics 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. Do I get AWS account access?
Yes — with guided labs for hands-on learning.
Q2. Will we learn Redshift Serverless?
Yes — with practical DWH modeling and analytics.
Q3. Is placement support included?
Yes — for both OTT + Live students.
Free Webinar & Demo Access
Register for Free Live Webinar
Get a sneak peek into the AWS Data Engineer Program, watch live ETL pipelines, and interact with instructors.