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Vande Bharath

Vande Bharath

Data Engineering

Master the Backbone of Modern Data Systems

Learn to design, build, and manage scalable data pipelines and infrastructure. This course covers data warehousing, ETL processes, big data tools, and real-time analytics to prepare you for high-demand data engineering roles.

4 Months

Offline/Online

(593+)

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Batches Starts On 1st,10th & 20th of every month

Batches Start From 1st,10th & 20th of every month

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Course Overview

4-Months Course Duration

We go over all the prerequisites needed to acquire a fantastic job, from the ground up.

100% Placement Assistance

Providing complete assistance with the preparation to crack the interviews

Placement Opportunities

We are assisting in finding better and more relevant job openings.

Live Training Interactive Sessions

Through guidance ensures the students gain the best out of the course.

Why Choose Data Engineering ?

Data Engineering is the foundation of data-driven decision-making, enabling organizations to harness the full power of their data. With the rise of big data and AI, skilled data engineers are in high demand across industries. It offers excellent career growth, high salaries, and the opportunity to work on cutting-edge technologies.

Instructors

Mr.Ram
Python Full Stack Trainer

Raghu is a B. E. in Computer Science and Engineering and has teaching experience of over 4.5 years. His expertise comprises Full Stack Java Development, Cyber security, A.W.S., Networking, Python Development and many more. He also possesses various certifications, including JAVA HackerRank, Oracle Certificatified Java Professional-8, Network Security Professional, and Azure - Az900.

Mr.Raghu
Chief Technical Officer

With a year-long experience in I.T. and two years of experience training candidates for JAVA and related frameworks, HTML5, CSS3, Bootstrap, Javascript, MySQL, Manohar Yadav N is a B.E.B.E. (E.C.E.). He is highly passionate and devoted to Teaching and has trained up to 1600+ students.

Mr.Abhilash Verma:
Aptitude and Core Python Trainer

With a year-long experience in I.T. and two years of experience training candidates for JAVA and related frameworks, HTML5, CSS3, Bootstrap, Javascript, MySQL, Manohar Yadav N is a B.E.B.E. (E.C.E.). He is highly passionate and devoted to Teaching and has trained up to 1600+ students.

Mr. Subramanya Swamy H N
Java Full Stack Trainer

With a year-long experience in I.T. and two years of experience training candidates for JAVA and related frameworks, HTML5, CSS3, Bootstrap, Javascript, MySQL, Manohar Yadav N is a B.E.B.E. (E.C.E.). He is highly passionate and devoted to Teaching and has trained up to 1600+ students.

Syllabus

Programming & Computer Science Foundations
  • Languages: Python (must-have), SQL (core skill), basics of Java/Scala (for Spark/Hadoop ecosystem).
  • Key concepts: Data structures, algorithms, OOP, API calls, error handling, testing.
  • Hands-on: Write Python scripts to clean CSV/JSON files, build REST API for simple data service.
Databases & Data Modeling
  • Relational Databases (OLTP): MySQL, PostgreSQL.
  • Data Modeling: Normalization, star/snowflake schema, indexes, constraints.
  • NoSQL Databases (OLAP/Unstructured): MongoDB, Cassandra, DynamoDB.
  • Hands-on: Design and query a retail sales database, compare SQL vs NoSQL performance.
Data Warehousing & ETL/ELT
  • Warehouses: Snowflake, BigQuery, Redshift.
  • ETL/ELT Tools: Airbyte, dbt, Talend, Informatica.
  • Concepts: Dimensional modeling, slowly changing dimensions (SCD), partitioning.
  • Hands-on: Build ETL pipeline from CSV → staging → warehouse → reporting tables.
Big Data Ecosystem
  • Frameworks: Hadoop (conceptual), Apache Spark (hands-on).
  • Batch Processing: MapReduce, Spark SQL, PySpark.
  • Hands-on: Process 10GB+ dataset with Spark, run transformations, aggregate logs.
  • Hands-on: Build ETL pipeline from CSV → staging → warehouse → reporting tables.
Data Streaming & Real-time Processing
  • Tools: Apache Kafka, Apache Flink, Spark Streaming, Kinesis
  • Concepts: Event-driven architecture, message queues, windowing.
  • Hands-on: Stream click data (Kafka producer) → consume → aggregate in real-time.
Data Orchestration & Workflow Automation
  • Tools: Apache Airflow, Prefect, Dagster.
  • Concepts: DAGs, scheduling, monitoring, retries, backfills.
  • Hands-on: Automate daily ETL workflow using Airflow with monitoring alerts.
Cloud Platforms
  • AWS: S3, Glue, EMR, Redshift, Lambda, Kinesis.
  • GCP: BigQuery, Dataflow, Pub/Sub.
  • Azure: Synapse, Data Factory.
  • Hands-on: Deploy pipeline with AWS S3 → Glue → Redshift, or GCP Pub/Sub → Dataflow → BigQuery.
Data Governance & Best Practices
  • Topics: Data quality (Great Expectations), lineage (OpenLineage), cataloging (Amundsen).
  • Security: Encryption, IAM, compliance (GDPR, HIPAA).
  • Hands-on: Add data validation and monitoring to an existing pipeline.
Advanced Topics
  • Lakehouses: Delta Lake, Apache Iceberg, Hudi.
  • ML Pipelines: Feature stores, integration with MLflow.
  • Infrastructure as Code (IaC): Terraform for data infra.
  • Hands-on: Build a mini lakehouse pipeline with Delta Lake on Spark.
Capstone Projects (Portfolio-Ready)
  • Build an end-to-end data pipeline
  • Ingest raw data (batch + stream).
  • Process with Spark.
  • * Store in data warehouse/lakehouse.
  • Orchestrate with Airflow.
  • Visualize with Power BI/Tableau.

Course Features

Comprehensive AWS Training

Learn cloud computing, storage, networking, and security from basics to advanced.

Mini Projects

Work on real-world scenarios to gain practical experience in AWS services.

Expert-Led Sessions

Get trained by industry professionals with in-depth cloud expertise.

Career-Focused Learning

Prepare for AWS certification and boost your career in cloud computing

Course Fee

Offline/Online Training + Mentorship

Rs. 19,999/- *18% GST

  • Train with the industry experts
  • Get access to the updated curriculum for the courses
  • Prepare for both technical and soft skill improvement
  • Get a complete start to end guidance
  • Placement assistance to find better opportunities
Register Here

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Frequently Asked Questions

What is a Data Engineering course?

A Data Engineering course teaches you how to collect, store, process, and manage large volumes of data using modern tools and technologies.

Who can join this course?
Anyone with a basic understanding of programming or databases can join. It’s ideal for graduates, IT professionals, and career switchers.
Do I need coding experience to start this course?
No advanced coding experience is required. Basic knowledge of any programming language is helpful, and we start from the fundamentals to ensure everyone can follow.
Is there any certification provided?
Yes, we provide a course completion certificate and guidance for industry-recognized certifications.
What are the job opportunities after this course?
After completing the course, you can apply for roles like Data Engineer, ETL Developer, Big Data Engineer, and Cloud Data Engineer.

Student Testimonials