Data Engineering, Cloud & GenAI Training – Live & Self-Paced

Cloud Labs / Real-Time Projects / Mentorship / Job Support

5000+

Students
Secured Jobs

Learn Data Engineering Your Way — Watch Anytime OR Join Live Batches

Your roadmap

Where do you start?

Pick the one that sounds like you. We'll draw your route into data engineering — step by step, with rough timelines, so you know exactly what comes next.

Your route

Why LevelUp

Not just classes. A system that gets you hired.

Everything below is live on the platform right now — hover over any tile.

12:34 / 18:20
Snowflake architecture in 20 min
PySpark joins, the right way
Medallion layers on Databricks
BigQuery partitioning
RAG from scratch
0+

On-demand lessons on our OTT platform

Watch anytime, from any device, for life.

MOCK ROUND

Job assistance + mock interviews

Real questions, honest feedback, referrals.

▶ Resume · Day 3 · 12:34

Learn anytime, anywhere, at your pace

Start on the laptop, continue on the phone.

All the platforms companies hire for

Azure, AWS, GCP, Databricks and Snowflake.

Retail sales lakehouseDatabricks · Delta · Power BI
Fraud detection pipelineKafka · Snowflake · Streams
Healthcare data lakeGCP · BigQuery · Composer

100% real-time projects and cloud labs

Build in real cloud accounts, not slides.

ACCESS EXPIRES
202620272030∞

Lifetime access to all OTT content

Come back whenever a new project needs it.

Sateesh Pabbathi, Founder of LevelUp

Learn from a working Data Architect

Sateesh Pabbathi, Microsoft Certified Trainer.

0+years
0+trained
MCTcertified
Try it yourself

Build a real data project in 6 clicks

This is what a data engineer actually does. Click each piece and watch raw data turn into a dashboard — and an AI that answers questions about it.

START HERE

Click "Source" to begin

Every data project starts with messy data sitting in different systems. Let's follow one day of orders from an e-commerce app all the way to the CEO's dashboard.

levelup / project / orders
$ waiting for you to click Source …
Mobile apporders, clicks
MySQLcustomers, products
Payment CSVsdaily files
10:41:02 app order #88213 Hyderabad ₹1,299
10:41:05 mysql customer 4471 updated
10:41:09 app order #88214 Pune ₹549
10:42:00 csv payments_2026-10-04.csv (31,208 rows)
▶ pipeline orders_daily triggered (schedule: every hour)
copy mysql.customers → landing/customers/ ✓ 48,120 rows
copy app.orders → landing/orders/ ✓ 6,842 rows
copy payments_*.csv → landing/payments/ ✓ 31,208 rows
stream app.clicks → kafka → landing/clicks/ live
✓ run finished in 1m 48s · next run 11:00
order_idcustomercityorder_dateamount
882134471Hyderabad04/10/20261299
882134471Hyderabad04/10/20261299
882144502pune2026-10-04549
88215N/AChennai2026-10-04-
882164388HYD2026-10-042150
Raw data, exactly as it arrived. Spot the problems: a duplicate order, two date formats, three spellings of Hyderabad, missing values.
order_idcustomercityorder_dateamount
882134471Hyderabad2026-10-041299.00
882134471Hyderabad04/10/20261299
882144502Pune2026-10-04549.00
88215guestChennai2026-10-040.00
882164388Hyderabad2026-10-042150.00
Cleaned with PySpark: duplicate dropped, dates standardised, city names harmonised, nulls handled. Now every team can trust this table.
FACT_ORDERScustomer_key · date_keycity_key · product_keyamount · quantity DIM_CUSTOMERsegment, signup_dateSCD type 2 DIM_PRODUCTcategory, brandprice_band DIM_DATEday, week, monthis_holiday DIM_CITYcity, state, zonetier
Gold layer: one fact table, four dimensions. Any question about orders is now one simple join away.
Orders by city — today
HYDBLRPUNCHEDELMUM
Which city had the most refunds last week?
Pune — 312 refunds, up 18% on the previous week. 70% were from one product: wireless earbuds, batch #B-117.
Dashboard for the business team, plus a GenAI assistant that answers questions straight from the gold tables.

You just walked through a real data engineering project.

Source to ingestion to clean data to a model to a dashboard with AI on top. In our courses you build exactly this — on Azure, AWS, GCP, Databricks and Snowflake — with your own hands.

Play · 45 seconds

Fix the broken pipeline

It's Monday 9 am. The sales dashboard is empty and the CEO is asking why. Four things went wrong overnight. Find them and fix them — like a data engineer would.

ALERT: Dashboard is empty.
Find out why. Click on anything that looks wrong in the pipeline.
levelup / pipelines / orders_daily · Mon 09:02

1 · INGEST JOBS 1 failed

▶

2 · BRONZE → SILVER quality check failed

order_idcustomercityamount
882134471Hyderabad1299
882144502Pune549
882154390Chennai2150

3 · SILVER · ORDERS_CLEAN schema mismatch

order_idstatus
8821304/10/2026paid
882142026-10-04paid
882154 Oct 2026paid
8821610-04-26refund
▶

4 · DASHBOARD slow query

query time48.0 s
no data

You just did a data engineer's Monday morning.

4 problems fixed in 0:00

Retrying a failed job, removing duplicates, standardising dates and tuning a slow query — that's orchestration, data quality, standardisation and performance. Exactly what interviewers ask about, and exactly what you practise in our courses.

Two Ways to Learn at LevelUp

Designed to transform every learner into a confident, industry-ready professional through structured training, expert mentorship, and real-world skill development

01

OTT Learning (Self-Paced)

02

Live Classes (Mentor-Led Batches)

03

Combo Plan (Best Value)

Google Cloud

Unlock the Power of Data Engineering on Google Cloud

Self-paced | Lifetime Access Job Oriented

Instructor Led | Real time Project | Mentorship

databricks

Master Unified Data Engineering on the Databricks Platform

Self-paced | Lifetime Access Job Oriented

Instructor Led | Real time Project | Mentorship

snowflake

Become Expert in Cutting-
Edge Data Engineering

Self-paced | Lifetime Access Job Oriented

Instructor Led | Real time Project | Mentorship

Excel in Data Engineering
with AWS Cloud Services

Self-paced | Lifetime Access Job Oriented

Instructor Led | Real time Project | Mentorship

Cyber Security Specialist

Become Cyber Security Specialist Protect Against Cyber Threats

Self-paced | Lifetime Access Job Oriented

Instructor Led | Real time Project | Mentorship

Power BI +

Azure Fabric

Master Power BI + Microsoft Fabric Your Ultimate Data analyst Combo

Self-paced | Lifetime Access Job Oriented

Instructor Led | Real time Project | Mentorship

About Us

LevelUp is India’s first hybrid model EdTech platform combining OTT Learning + Live Interactive Training specifically designed for Data Engineering, Cloud & AI.

Why Level Up

OTT: Learn at your own pace

Live Batches: Attend daily classes

Hybrid: Watch + Practice + Attend + Get Mentored

Real-Time Cloud Projects

Modern Data Stack Tools

Enterprise-Level Curriculum

Placement Assistance

Trained
0 +
Placements
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Corporate Trainings
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Live Batches Running
0 +
Courses
0 +
OTT Lessons
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Curriculum Overview

Build your Data Engineering career step by step with an industry-aligned, job-focused curriculum. Our program is designed to transform beginners into professional Data Engineers through practical learning and real-world projects

Foundations of Data Engineering

Databases, data structures, pipelines, and enterprise data systems

SQL Mastery

Advanced SQL queries, joins, window functions, and performance optimization

Python for Data Engineering

ETL / ELT Pipelines

Data ingestion, transformation, workflow orchestration, and scheduling

Big Data Technologies

Hadoop, HDFS, MapReduce, and distributed systems

Our Hiring Partner

Stories From Learners Who Made It

Real experiences shared by learners who transformed their careers through LevelUp.

Placement Support

We don’t just train you—we help you land a job

Our Expert Mentors

Learn from senior industry professionals with real-world experience in building enterprise-level data systems

Arun Prakash — Senior Data
Engineer (Ex-Amazon)

Big Data • Spark • Distributed Systems

Megha Varma — Cloud Data Architect (AWS/GCP Certified)

Cloud Pipelines • Data Warehousing

Sandeep Rao — Lead Data Engineer (Deloitte)

SQL • ETL • Kafka • Real-time Streaming

Sandhya — Cloud Data Architect (AWS/GCP Certified)

Big Data • Spark • Distributed Systems

Frequently
Asked Questions

A comprehensive guide to everything you need to know, from enrollment and learning formats to mentorship and job assistance, ensuring you feel confident at every step.

Still Have Questions

Get clear, well-explained answers to all major queries so you can make informed decisions about joining our programs and shaping your career path.

1. Do I need prior technical knowledge?

No, you don't need advanced technical knowledge to get started. Basic programming and computer knowledge is helpful, and our training is designed to take you step by step from fundamentals to practical skills.

Course duration depends on the program and learning format you choose. We offer structured live batches as well as self-paced learning options with lifetime access to recordings.

Yes. Our programs include placement support such as resume guidance, mock interviews, interview preparation and career guidance to help you prepare for relevant job opportunities.

We offer both live instructor-led batches and self-paced programs. Live batches provide interactive sessions and mentoring, while self-paced programs let you learn at your own schedule.

Yes. The training focuses on practical, industry-oriented projects so you can apply the concepts you learn and build hands-on experience for your portfolio and interviews.

Yes. After completing the applicable training program and meeting its requirements, you can receive a course completion certificate from LevelUp Cloud Trainings.

Start Your Journey to Becoming a Data Engineer

Master the tools, build real projects, and launch your career with LevelUp’s industry-backed program

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Start your journey today — Level up is with you at every step

Become Job-Ready
in High-Demand Tech Skills

Real-Time Training • Hands-On Projects • Career Support

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