Data Engineering Bootcamp – From Zero to Job-Ready in 5 Weeks
The Data Engineering Online Training Program is a 5-week intensive bootcamp designed to take you from complete beginner to job-ready data engineer. Built around a real-world e-commerce project, the course teaches you how to build production-grade batch and streaming pipelines using Python, SQL, and tools on the Google Cloud Platform (GCP). With live classes, daily labs, and mentor-guided projects, this program is perfect for those aiming to launch or switch to a data engineering career.
Program Overview
The Data Engineering Bootcamp is an immersive, hands-on training program designed for beginners and professionals looking to build a career in data engineering. With a unique 5-week, project-based structure, the course simulates real-world data tasks including batch processing, streaming pipelines, data modeling, and orchestration using industry tools on Google Cloud Platform (GCP).
By the end of the program, learners will be job-ready with a published GitHub project portfolio and full understanding of the data engineering lifecycle.
Key Features of DevOps Master Program
- 100% Live instructor-led training (Weekdays, 1.5 hrs/day)
- Real-world E-commerce Data Pipeline project
- Cloud-native tools: GCP, BigQuery, Pub/Sub, Dataflow, Composer
- Python, SQL, Apache Beam, Airflow, and Great Expectations
- Interview prep and career guidance sessions
- Final capstone project and GitHub deployment
Program Curriculum
Week 1 – Data Foundations: Python & SQL for Engineers
- Python for file handling, parsing JSON/CSV
- Pandas for cleaning and transformation
- SQL (joins, window functions)
- Labs on BigQuery datasets and order/customer joins
Week 2 – Modeling + GCP Storage + BigQuery
- Star schema design (Orders, Customers, Products)
- GCP setup, IAM, Cloud Storage, BigQuery basics
- Partitioning, clustering, views, table optimization
Week 3 – Batch + Streaming Pipelines
- ETL vs ELT concepts
- Dataflow templates using Apache Beam
- Kafka & Pub/Sub streaming clickstream data
- Real-time ingestion: Pub/Sub → Dataflow → BigQuery
Week 4 – Orchestration + Monitoring + Quality
- Apache Airflow and DAGs in Composer
- Data validation using Great Expectations
- Logging, IAM, and monitoring pipelines in GCP
Week 5 – Final Capstone Project + Presentation
- Full E-commerce pipeline with batch + stream + orchestration
- Add-ons: user reviews, delivery data, alerts
- Project deployment, GitHub publishing, and career guidance
Program Fee
₹ 19,999/- ₹24,999/-
This Course Includes
- Eligibility: More than 2 years of experience
- 1.5 Months of Live Training
- 3 Capstone Projects
- Interview Preparation
- Resume Building
- Project Explanation
- LIVE Sessions will get Recorded & Shared
- Support via Email
Program Highlights
- End-to-end real-time & batch pipeline development
- Simulated industry project from Day 1
- Job-focused curriculum with production-grade tools
- Resume-ready GitHub portfolio
- Step-by-step Airflow orchestration & GCP monitoring
Skills You'll Acquire:
Python scripting for data manipulation
SQL querying for analytics and joins
GCP: Cloud Storage, BigQuery, IAM
Apache Beam & Cloud Dataflow
Kafka / Pub/Sub streaming ingestion
Apache Airflow orchestration
Data validation with Great Expectations
Data modeling: Star/Snowflake schemas
Apache Airflow orchestration
Tools You'll Learn:
Our Expert Trainers
- Data engineers with experience in GCP (BigQuery, Dataflow)
- Real-time and batch processing experts
Capstone Project Examples
- E-commerce Sales Reporting Pipeline (CSV → GCS → BQ → Dashboard)
- Real-time Sensor Monitoring Pipeline (Pub/Sub → Dataflow → BQ)
- Stock Market News Sentiment Analyzer (API → Text Clean → BQ)
Who May Apply to this program?
- Freshers, analysts, backend devs
- Professionals shifting from traditional ETL to cloud data pipelines
Industry Trends
Annual Salary
Avg. Salary: ₹9–12 LPA for entry-level Data Engineers in India
Companies Hiring
Roles: Data Engineer, GCP Data Engineer, Streaming Data Engineer
Demand
Market: $62.2B global data engineering market by 2028
Market Growth
Demand: 35% YoY growth in cloud-native data jobs
Market value
The global DevOps market size was valued at $6.78 billion in 2020, and is projected to reach $57.90 billion by 2030
Job Growth
Jobs are expected to grow 15 percent between 2021 and 2031
FAQ'S
Anyone interested in launching a career in data engineering — including freshers, working professionals, and career switchers.
No prior coding or cloud experience is required. We start from the fundamentals.
Yes. We cover Google Cloud basics from project setup to advanced services in a step-by-step manner
You’ll build an end-to-end e-commerce data pipeline including batch processing, streaming ingestion, and orchestration.
All core sessions are delivered live by expert trainers. Recordings are provided afterward.
Yes, you’ll have lifetime access to all recorded sessions through our LMS.
Yes, a certificate of completion will be issued once you finish the course and capstone project.
Yes, the course includes both batch (CSV to BigQuery) and streaming (Pub/Sub to BigQuery) pipelines.
Yes. Every tool is taught with practical labs and assignments.
Absolutely. The course is career-focused and includes resume building, mock interviews, and job-oriented projects.
Yes. We’ve structured the content to help freshers break into the data engineering field with confidence.
You can watch the recorded session at your convenience anytime.
Yes. We provide sessions on resume building, interview strategy, LinkedIn grooming, and technical Q&A.
We use Google Cloud Platform (GCP) for all hands-on labs and projects.
Yes. You can access sessions and the LMS from any desktop, tablet, or mobile device.
No. All environments are either browser-based or GCP-hosted. Setup support is provided if needed.
Yes. The course includes Apache Airflow and Great Expectations for real-world DataOps.
No exams. Learning is project-driven. However, coding assignments are given weekly for practice.
About 8–10 hours/week (1.5 hours/day live + practice time).
Yes. You’ll have access to mentor Q&A sessions and Slack/email support.
Yes, core Kafka concepts and use with Pub/Sub are introduced in the streaming module.
Yes. We focus on technical foundations, hands-on skills, and scenario-based projects tailored for interview prep.
Data engineering focuses on building data infrastructure and pipelines. Analytics focuses on insights and dashboards.
Yes. We focus on technical foundations, hands-on skills, and scenario-based projects tailored for interview prep.
Yes. The weekday 1.5 hr/day format is designed to balance with full-time work.
Yes. The entire training is GCP-centric and aligned with what companies expect from modern cloud data engineers.
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