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Become A Profficient Stabricks Certified Cloud Data Engineer
The Databricks Data Engineer Program teaches you to master Spark, Delta Lake, DLT, Unity Catalog, and Databricks Workflows — the future of modern data pipelines. This is LevelUp’s most high-demand program.
Availale On
OTT (Self-Paced)
Live Batch
Combo Plan.
100% Success Rate
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100% Success Rate
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For
Fresher
For
Working Professionals
For
Cloud Engineers
For
Analysts
For
Career Switchers
Why Choose LevelUp for Databricks Data Engineering?
End-to-end Databricks
Lakehouse projects
PySpark transformations
from beginner to advanced
Delta Lake with schema enforcement,
time travel & CDC pipelines
Delta Live Tables (DLT)
production-level pipelines
Unity Catalog for governance
and table security
Streaming pipelines with
Kafka/Event Hub integration
Databricks Workflows
orchestration & CI/CD
Industry-style project
reviews & feedback
What You Will Learn
Databricks Workspace
Spark Fundamentals (RDD, DataFrames, Actions & Transformations)
PySpark (Joins, Aggregations, Window Functions, Optimizations)
Delta Lake (Delta Tables, Merge, Time Travel, CDC Pipelines)
Delta Live Tables (Bronze → Silver → Gold, Auto Loader, Incremental ETL)
Unity Catalog (Catalogs, Schema Management, Governance)
Databricks Workflows (Jobs, Tasks, Job Clusters, Notifications)
Streaming Pipelines
Performance Optimization
CI/CD
with Repos
Our Curriculum
Module 1: Databricks Basics
- Workspace navigation
- Clusters, Jobs & Notebooks
Module 2: Spark Foundations
- RDD
- DataFrames
- Actions & Transformations
Module 3: PySpark
- Joins & Aggregations
- Window Functions
- Optimization, Caching & Partitioning
Module 4: Delta Lake
- Delta Tables & Schema Enforcement
- Time Travel
- Merge Operations
- CDC Pipelines
Module 5: Delta Live Tables (DLT)
- Bronze → Silver → Gold Medallion
- DLT Pipelines
- Auto Loader
- Incremental ETL
Module 6: Unity Catalog
- Catalogs & Schema Management
- Table Security & Governance
Module 7: Streaming
- Auto Loader Streaming
- Structured Streaming
- Event Hub/Kafka Integration
Module 8: Databricks Workflows
- Orchestration
- Jobs & Tasks
- Job Clusters
- Notifications
What You Will Learn
Databricks
PySpark
Delta Lake
DLT
Unity Catalog
Kafka
DBFS
Workflows
MLflow
Projects
Bronze → Silver → Gold Medallion
Auto Loader Streaming Pipeline
DLT End-to-End Pipeline
Data Lakehouse with Delta
Unity Catalog + Governance Project
Databricks Job Orchestration
Trainer Info
Course Name
Course taught by Databricks Certified Engineers experienced in enterprise-level Lakehouse implementations.
Expertise
- Spark & PySpark Transformations
- Delta Lake & DLT Pipelines
- Databricks Workflows & Job Orchestration
- Unity Catalog & Governance
- Streaming Pipelines & Event Hub/Kafka Integration
Every concept is taught with real project context — exactly how it’s used in production systems.
Experience
7+ years in Data Engineering
Worked With
Enterprise Clients, Product Firms
Career Outcomes
Graduates typically move into roles such as
Databricks Data Engineer
Spark/PySpark Developer
Cloud Data Engineer
Analytics Engineer
Hiring companies: Product firms, MNCs, fintech, healthcare, 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 Spark included from basics?
Yes — from RDD to advanced PySpark.
Q2. Do you teach Delta Live Tables (DLT)?
Yes — full production-level DLT pipelines.
Q3. Is OTT + Live available?
Yes — both formats.
Free Webinar & Demo Access
Register for Free Live Webinar
See Databricks Lakehouse pipelines in action, learn PySpark, Delta, and DLT workflows, and interact with expert instructors.