Data Engineer Course with Portfolio
on Azure, AWS, Snowflake, Spark & Airflow

From Basics to Job-Ready with Hands-On Learning & Internship

with Real-Time Pipelines using Azure, AWS, Snowflake & Databricks

#1 Hands-On Agenda on Data Engineer with
Projects Which Gets You Hired!

End-to-End Real-Time Projects & Internship Projects

Data Engineering Project Pipeline using AWS, S3, PySpark & SnowFlake
AirFlow, AWS S3, Glue, PySpark & Amazon RedShift Data Engineering Project Pipeline
AWS S3, Glue, PySpark, Athena & Quick Sight Project Pipeline
Kafka, EMR, PySpark & Amazon RedShift End-to-End Project
HDFS Data Lake, PySpark & MongoDB Project Pipeline
Star Schema & SnowFlake Schema Design using SnowFlake Data Warehouse Pipeline
Kafka, Azure Data Factory, Azure Databricks & Synapse Analytics Project Pipeline
Automatic Ingestion using SnowPipe, S3 & SnowFlake
SnowPark, SnowFlake, Stored Procedures Data Science Project Pipeline Design
SnowFlake Cron Jobs, Aggregations using SQL & Reporting using Power BI Pipeline

Introduction to Data Warehouse

Mastering Python

Introduction to Python
Structure of Any Programming Language like Value, Variables, Functions & Libraries
Different In-Built Data Structures like List, Tuple, Set & Dict
Mastering Conditional Flow
Loops like While & For
List Comprehension
Mastering User-Defined Functions
Regular Expressions and Lambda
Strings and Arrays
Procedural Programming vs OOPS
Mastering OOPs
Different Libraries like Pandas & Numpy
Instance Variable, Class Variable, Class Method
Association vs Composition & Aggregation
Oops Concept
Encapsulation, Inheritance
Polymorphism, Method OverLoading, Method Overriding

Introduction to SnowFlake

Mastering MySQL

Introduction to MySQL
Creating Database in MySql
Star Schema and SnowFlake Schema Design
Forward and Reverse Engineering
Creating ER diagrams
Deep Dive into MySQL
SELECT, UPDATE, DELETE Operations
Clauses in MySql Part-1
Clauses in MySql Part-2
Clauses in MySQL Part-3
MySQL Data Handling Part-1
MySQL Data Handling Part-2
Data Integrity & Referential Integrity
Data Normalisation
First & Second Normal Form
Functional Dependency, Transitive Dependency & 3rd Normal Form
Boyce-Codd Normal Form
Denormalization
Temporary Table, Common Table Expression, Recursive CTE
When to use Temporary Table, CTE & Recursive CTE
Subquery in MySQL
Views in MySQL
Stored Functions
Stored Procedures
Triggers in MySQL
Create Events in MySQL
Different Functions in MySQL

Big Data & Streaming Tools

Introduction to Big Data
Distributed Computing & Hadoop Architecture
Storing Data on Hadoop -HDFS
Processing – MapReduce
Working on YARN
HBase
Working on Sqoop
Working on Impala
Working with Flume
Working with Zookeeper

Big Data Scheduling

Mastering HIVE

Big Data on Cloud

AWS Data Collection & DataLake

Data Warehousing on AWS
DynamoDB, Lambda
Redshift
AWS Glue
AWS Data pipelines and data nodes
Activity, Pre-condition and Schedule
Introduction to DataLake
Learn about Data Lake vs. Data Warehouse
Key components of a Data Lake Architecture
Query files directly using SQL

Amazon Kinesis

Data Loading/Ingestion and Extraction

What is Data Ingestion?
Data Ingestion in Real-World
Create an Integration Object to Connect Snowflake with AWS S3
Ingesting CSV from S3 to Snowflake
Ingest JSON from S3 to Snowflake
How to do Continuous Data Ingestion in Snowflake
SnowPipe: Implementation of Snow Pipe
SnowPipe: Billing Estimation and Key Considerations for Data Ingestion
Unloading of Data from Snowflake to S3

Big Data on Azure

DataBricks and Data Factory

Azure Stream Analytics
Learn how to input data into Azure ASA
Learn how to create queries and data analysis pipelines with Azure ASA
Learn how to output the results of the data analysis pipeline to various output formats
Learn how to work with Azure ASA and Microsoft PowerBI
Azure Data Factory
Microsoft Azure Data Lake
Different tools and scenarios to ingest data in to Data Lake
Data Lifecycle and Architecture around Data Lake
Use Azure Databricks and HDInsight to process data in ADLS
Monitor the performance of your Data lake
Azure Data Factory
Azure Functions

PySpark Mastering

Core PySpark architecture
Deployment modes
RDD and RDD Operations, DAG
PySpark SQL
Dataframes, Hive Integration, data manipulation with PySpark SQL
PySpark Streaming
Structured Streaming
Amazon EMR and Running all Hadoop jobs on AWS EMR

Kafka

What is Kafka?
Kafka Features
Kafka Concepts
Kafka Architecture
Kafka Components
ZooKeeper
Where is Kafka Used?
Kafka Installation
Kafka Cluster
Types of Kafka Clusters
Configuring Single Node Single Broker Cluster
Kafka Producer
Kafka Consumer
Kafka Internals & Load Balancing

Mastering MongoDB

Introduction to Mongo DB
Installation of MongoDB
Basics Operations of MongoDB
Create Operations in MongoDB
Update Operations in MongoDB
Read Operations in MongoDB
Delete Operations in MongoDB
Query & Projection Operations
Python with MongoDB
Spark with MongoDB

Tables in Snowflake

Tasks and Query Scheduling

Streams and Change Data Capture

Introduction to Streams
Implementation of Standard Streams
Implementation of Append-Only Streams
Streams in a Transaction
Data Retention and Staleness
Change Tracking Using ” Changes “
End-to-End Stream Creation
End-to-End Pipeline Demonstration

Snowflake – External Functions

Introduction to External Functions
What is AWS Lambda Functions?
Write & Deploy AWS Lambda Function
What is IAM Role in AWS?
Creating IAM Role in AWS
Create API Gateway
Secure and Deploy API Gateway
Create External Function in Snowflake

Snowflake with Python, Spark, and Airflow on AWS

Connect Python with Snowflake in Your Local Machine
Introduction to AWS Glue
Deploy and Execute Python Script to AWS Glue
Parameterize Your Python Script on AWS Glue
Python Pandas with Snowflake on AWS Glue
What Is Pushdown in Spark 3.1?
What is Spark? Introduction to PySpark
Deploy a PySpark Script Using AWS Glue
What is Airflow?
Set Up Managed Airflow Cluster on AWS
Configure Snowflake Connectivity in Airflow
Deploy a PySpark Transformation job in AWS Glue
Set Up Airflow DAG

Real-Time Streaming with Kafka and Snowflake

What is Kafka?
Why to go with Real-Time Streaming
Introduction to Kafka
Download the Necessary JAR Files
Set Up Kafka in your local system
Set Up Kafka Snowflake Connector
Set Up Encryption Keys for Kafka-Snowflake Connectivity
Streaming Data in Action

Snowflake – Data Protection and Governance

Contact us

Learners

28 +

Years in Business

0 +

Max Recorded Salary

7 LPA

Projects on DE

1 +

💯 We Help You To Get Placed!

1:1 Resume Mentoring from Kanth

After completing the Data Engineering Project Internship at BEPEC, Mentor Kanth(1-on-1 Mentorship) will help you with Data Engineer roles and responsibilities, technical skills, projects, crafting ATS-friendly job titles, and optimizing your LinkedIn profile and job portals. This guidance will ensure your resume get shortlisted in the job market.

1:1 Mock Interviews with BEPEC

Kanth will conduct 1-on-1 mock interviews which helps you identify areas for improvement before your actual interviews. He will also teach you how to use the STAR method, enhancing your communication and persuasion skills for confidently explaining your experience and expertise.

Build Portfolio on Data Engineering

BEPEC’s job-focused learning program allows you to gain hands-on experience by working on real-time projects. Upon completion, you’ll receive an internship certificate/Freelancing Certificate, which can significantly enhance your chances of entering the Data Engineering job market.

Job-Focused Data Engineering Course - Learning Modes

₹5999Excl. GST

250+ Hours of Content
10+ Project Use-Cases
Live Doubt Classes Access
Life-Time Recording Access
Internship Certificate
3 Months Live Classes
1 Month Remote Internship

₹17999Excl. GST

250+ Hours of Content
10+ Project Use-Cases
Live Doubt Classes Access
Life-Time Recording Access
Internship Certificate
Live Classes Access for 2 Subjects
1 Month Remote Internship

₹29999Excl. GST

250+ Hours of Content
20+ Project Use-Cases
Live Doubt Classes Access
Life-Time Recording Access
Internship Certificate
3 Months Live Classes
1 Month Remote Internship

Azure Databricks, Data Factory, Synapse Analytics Project Pipeline

Real-Time Projects in your Resume, Increases your interview calls and you can gain trust from interviewers

Fill Out The Form, To Get Career Transition Strategy

Contact us

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3 Steps for Successful Career Transition

We Will Help You Every Step Of The Way

01

Get Detailed understanding about Job-Ready "T" Skillset

02

Develop Confidence on Job-Ready Skillset by Implementing them on Real-Time Projects with BEPEC Internship

03

Market Your Skillset and Projects using right Roles & Responsibilities and Projects

What People Say About Us

Client Testimonials

I had a great experience with BEPEC Solutions during my career transition. Their team provided clear guidance and personalized support, making the process smooth and stress-free. The career coaches are knowledgeable and genuinely care about their clients' success. Thanks to their resume and interview prep, I landed a job that aligns with my goals. I highly recommend BEPEC Solutions to anyone looking for professional growth and a seamless career change.

Sharun

Hi, I feel grateful to be a student of BEPEC. This is genuine and I would say most budget friendly institution to go for any course! Talking about learnings, 5/5. KANT SIR's teaching and patience is just so good to deal with each student. You get the recordings as well. Thanks for the amazing coaching!!

Shaily Srivastava

I have enrolled for the Data Science Career Transition Program through Bepec Kanth explains how to apply all the concepts in real world. Along with developing domain knowledge he is also helping to enhance our professional skills to face real world challenges as data scientist... What ? Why? Where ?.....3 words most important

SREE SAI KONDLE

We Make Successful Career Transitions!

Kanth Worked as a Principal Data Scientist with proficiency in Machine learning, Deep Learning, Generative AI, and LLMs, with around 12+ years of involvement in conveying end-to-end project pipelines using AGILE CRISP, DataOps, Big Data Streaming Pipelines, and MLOps Pipelines
Kanth is an AI CoE and Six Sigma Certified. He is an AI Consultant for companies like Nokia, EY, Cognizant, BMW, DU Telecom etc. u00a0Kanth delivered AI Solutions using AI Software Stack.u00a0
Kanth has experience in delivering customized training on statistics, cloud computing, machine learning, deep learning, general AI, data engineering, data analytics, data science, and reinforcement learning.
Delivered Training Across Dubai, Malaysia, Singapore, South Africa, Sudan etc.
Helped various organisations to implement AI & Gen AI using AI Software Stack & made them achieve tremendous financial gains
Experience in Delivering 100+ pieces of training for working Data Scientists and AI Engineers to Upskill them for Future Projects.
Experience in delivering 50+ PMP Programs, ITIL Programs, Agile Programs, etc
India – EY, Infosys, TechMahindra, ExlSolutions, Suzlon, Wipro, TCS, CSC, HCL, HP, Deloitte, IIT-Bhubaneswar, KIIT u2013Bhubaneswar, R&D u2013 Hyundai
Corporate training across different location like Dubai(Etisalat), Malaysia ( X-Fab), Canada(X-Axis), Singapore(DBS Bank)
Colleges u2013 Nearly 400+ Colleges all over India

Do you want to Upskill your Employees?

we can do it together

BEPEC Solutions Pvt.Ltd. majorly a consulting and talent upskilling firm. We apply the right technology to solve business problems with the help of Analytics, AI, Cloud Computing, Edge AI, Explainable AI, ML, DL, RPA, e.t.c. across multiple verticals like BFSI, CPG, Retail, Healthcare, Manufacturing, Telecom, Insurance, e.t.c.

Data Engineer Course with Portfolio on Azure, AWS, Snowflake, Spark & Airflow

From Basics to Job-Ready with Hands-On Learning & Internship

with Real-Time Pipelines using Azure, AWS, Snowflake & Databricks

#1 Hands-On Agenda on Data Engineer with Projects Which Gets You Hired!

End-to-End Real-Time Projects & Internship Projects

Data Engineering Project Pipeline using AWS, S3, PySpark & SnowFlake

AirFlow, AWS S3, Glue, PySpark & Amazon RedShift Data Engineering Project Pipeline

AWS S3, Glue, PySpark, Athena & Quick Sight Project Pipeline

Kafka, EMR, PySpark & Amazon RedShift End-to-End Project

HDFS Data Lake, PySpark & MongoDB Project Pipeline

Star Schema & SnowFlake Schema Design using SnowFlake Data Warehouse Pipeline

Kafka, Azure Data Factory, Azure Databricks & Synapse Analytics Project Pipeline

Automatic Ingestion using SnowPipe, S3 & SnowFlake

SnowPark, SnowFlake, Stored Procedures Data Science Project Pipeline Design

SnowFlake Cron Jobs, Aggregations using SQL & Reporting using Power BI Pipeline

Introduction to Data Warehouse

What Is Data Warehouse?

Important Data Warehouse Concepts

Difference between OLAP vs OLTP

Data Ecosystem Mindmap

Overview of Data Warehouse

Data Warehouse Architecture

Mastering Python

Introduction to Python

Structure of Any Programming Language like Value, Variables, Functions & Libraries

Different In-Built Data Structures like List, Tuple, Set & Dict

Mastering Conditional Flow

Loops like While & For

List Comprehension

Mastering User-Defined Functions

Regular Expressions and Lambda

Strings and Arrays

Procedural Programming vs OOPS

Mastering OOPs

Different Libraries like Pandas & Numpy

Instance Variable, Class Variable, Class Method

Association vs Composition & Aggregation

Oops Concept

Encapsulation, Inheritance

Polymorphism, Method OverLoading, Method Overriding

Introduction to SnowFlake

What is Snowflake?

SnowFlake Architecture

Snowflake Virtual Warehouse

SnowFlake Object Hierarchy

Mastering MySQL

Introduction to MySQL

Creating Database in MySql

Star Schema and SnowFlake Schema Design

Forward and Reverse Engineering

Creating ER diagrams

Deep Dive into MySQL

SELECT, UPDATE, DELETE Operations

Clauses in MySql Part-1

Clauses in MySql Part-2

Clauses in MySQL Part-3

MySQL Data Handling Part-1

MySQL Data Handling Part-2

Data Integrity & Referential Integrity

Data Normalisation

First & Second Normal Form

Functional Dependency, Transitive Dependency & 3rd Normal Form

Boyce-Codd Normal Form

Denormalization

Temporary Table, Common Table Expression, Recursive CTE

When to use Temporary Table, CTE & Recursive CTE

Subquery in MySQL

Views in MySQL

Stored Functions

Stored Procedures

Triggers in MySQL

Create Events in MySQL

Different Functions in MySQL

Big Data & Streaming Tools

Introduction to Big Data

Distributed Computing & Hadoop Architecture

Storing Data on Hadoop -HDFS

Processing – MapReduce

Working on YARN

HBase

Data Engineer Course with Portfolio
on Azure, AWS, Snowflake, Spark & Airflow

#1 Hands-On Agenda on Data Engineer with
Projects Which Gets You Hired!