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Data Engineer BootCamp

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A hands-on Data Engineer Bootcamp designed to help you build scalable data pipelines, process large datasets, and deploy production-ready data systems.

80 hours comprehensive structured program with live, expert-led sessions
Build real-world data pipelines using Python, SQL, Spark, Airflow & Cloud
Hands-on cloud deployment with modern data engineering workflows
10+ practical projects including ETL, streaming, CI/CD & capstone
Career-focused training aligned with production data engineering roles

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4.9

Google Rating

16k+

Learners

150+

Cohorts

300+

Enterprises

Course Overview

Data Engineering is the backbone of modern analytics and AI systems. Organizations rely on scalable data pipelines, cloud platforms, and real-time processing to power decision-making. This bootcamp equips you with the technical foundation and hands-on experience required to design and maintain these systems.

Throughout the program, you’ll work with Python, SQL, Spark, Airflow, CI/CD workflows, cloud platforms, and streaming architectures. The curriculum focuses on practical implementation—helping you move from writing scripts to building complete, production-ready data engineering systems that align with real industry standards.

Program Highlights

80 hours of structured, expert-led online training

Deep dive into Python and SQL for data processing

Distributed data processing with Spark & PySpark

Building automated ETL pipelines using Airflow

Real-time streaming data systems implementation

Cloud-based data deployment and lakehouse architecture

CI/CD automation for data engineering workflows

Capstone project covering end-to-end data platform design

21+ Tools Covered

Data Engineer Job Statistics

Tech & SaaS Companies - 40%
Finance, Banking & FinTech - 20%
E-commerce & Retail - 15%
Healthcare & Life Sciences - 15%
Media, Telecom & Others - 10%

30%+

Growth in data engineering roles by 2030

90%+

Companies say data pipelines are critical for AI & analytics

$120K – $180K

Average global salary for Data Engineers

3–5×

More job openings for Data Engineers than Data Scientists

Data Engineer BootCamp Course Content

Download Syllabus

Module 1 Python Foundations for Data Engineering

Topics Covered:

Variables & Data Types, Data Structures (Lists, Tuples, Dict, Sets), Functions, File Handling (CSV, JSON, Text)

Tools Used:

VSCode, Jupyter Notebook, Python

Outcomes:

Write clean Python scripts for data processing

Module 2 SQL for Data Engineering

Topics Covered:

SELECT, WHERE, GROUP BY, ORDER BY, Joins (INNER, LEFT), Window Functions (ROW_NUMBER, RANK, LAG), CTEs

Tools Used:

MySQL, PostgreSQL

Outcomes:

Write optimized SQL queries for analytics

Module 3 Spark & PySpark Fundamentals

Topics Covered:

Spark Architecture, RDDs & DataFrames, Transformations & Actions (map, filter, reduce), Spark SQL

Tools Used:

VSCode, Databricks, PySpark

Outcomes:

Process large datasets using distributed computing

Module 4 Git & GitHub for Data Engineers

Topics Covered:

Repositories & Commits, Branching & Merging, Push/Pull/Clone, Resolving Conflicts

Tools Used:

Git, GitHub

Outcomes:

Manage version-controlled data engineering projects

Module 5 Data Pipelines & Orchestration

Topics Covered:

ETL vs ELT, Building Data Pipelines, Error Handling & Logging, Data Orchestration (Retries & Alerts)

Tools Used:

Apache Airflow, Databricks Workflows, Azure Data Factory

Outcomes:

Design automated and reliable data pipelines

Module 6 Data Platforms (Databricks & Snowflake)

Topics Covered:

Notebooks & Clusters, Databricks SQL, Workflows Scheduling, Snowflake Warehouse Basics

Tools Used:

Databricks, Snowflake

Outcomes:

Run scalable data workloads on modern platforms

Module 7 Apache Kafka & Streaming

Topics Covered:

Kafka Architecture (Topics, Partitions, Brokers), Producers & Consumers, Create Kafka Topic, Stream Messages

Tools Used:

Confluent Cloud, Redpanda, Kafka

Outcomes:

Build real-time data streaming pipelines

Module 8 CI/CD for Data Engineering

Topics Covered:

CI vs CD Concepts, GitHub Actions Workflow, Automated Testing/Linting, Trigger Deployment/Data Job

Tools Used:

GitHub Actions, Dockers, MLFlow, Dagshub

Outcomes:

Automate testing and deployment pipelines

Module 9 Cloud Platform (GCP Focus)

Topics Covered:

Cloud Storage (GCS), IAM & Access Control, Deploy Compute Job

Tools Used:

Google Cloud Platform (GCS, IAM, Compute)

Outcomes:

Deploy cloud-based data jobs securely

Module 10 Data Architecture Fundamentals

Topics Covered:

Data Warehouse, Data Lake, Lakehouse Architecture, Comparing Architectures & Use Cases

Tools Used:

Databricks Lakehouse, Snowflake

Outcomes:

Design modern enterprise data architectures

Schedules for Data Engineer BootCamp

Enquiry for Corporate Training

Talk to a Learning Advisor

To fast-track your career and achieve

Data Engineer BootCamp Projects

Build your portfolio with practical, end-to-end projects:

Project 1 File Processing Engine: Build Python scripts to read, clean and transform CSV/JSON files.

Project 2 SQL Analytics Project: Develop analytical queries combining multiple tables using joins and window functions.

Project 3 Distributed Data Processing: Build PySpark job to process and aggregate large sales dataset.

Project 4 Version-Controlled Pipeline: Create a Git-based project with feature branches and resolve merge conflicts.

Project 5 End-to-End ETL Pipeline: Build orchestrated pipeline moving data from source to warehouse with logging.

Project 6 Lakehouse Implementation: Implement transformation workflow using Databricks notebooks and scheduled jobs.

Project 7 Real-Time Streaming Project: Stream live messages from producer to consumer and process them.

Project 8 CI/CD Automation Project: Create GitHub Actions workflow to test and deploy data pipeline.

Project 9 Cloud Data Deployment: Deploy a compute job reading from cloud storage and writing processed output.

Project 10 Architecture Design Blueprint: Design end-to-end architecture for batch + streaming data platform.

Capstone Projects

Production Data Engineering Platform: Build complete data platform: ingestion -> transformation -> warehouse -> streaming -> CI/CD deployment.

Topics Covered:

Python + SQL + Spark + Airflow + Kafka + Cloud + CI/CD Integration

Tools Used:

Full Stack (Python, SQL, Spark, Kafka, Airflow, GCP, GitHub)

Outcomes:

Deploy production-ready data engineering system

Data Engineer BootCamp Exam Details

Exam Details

No exam is required for certification.
Complete the course and earn your Data Engineering Certification from AgileFever.

Prerequisites

Knowledge and hands-on experience in DevOps is recommended.

Career Assistance

Group Mentoring & Hiring Exposure
Learn directly from active hiring managers and industry leaders. Gain real insights, confidence, and visibility that go beyond the classroom.
Interview Prep & Hiring Readiness
Build interview confidence through real-world assessments, structured prep, and feedback from professionals who actually hire.
AI-Powered Profile Optimization
Optimize your resume, LinkedIn, and GitHub to attract recruiter attention and stand out in competitive hiring pipelines.
Mock Interviews & 1:1 Career Mentoring
Get personalized coaching from industry veterans—covering interviews, communication, workplace presence, and career strategy.

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Benefits That Set You Apart

Build in-house expertise in scalable data infrastructure

Improve data pipeline reliability and automation

Reduce operational bottlenecks in analytics workflows

Enable real-time and batch processing capabilities

Strengthen cloud-native data engineering practices

Improve collaboration with DevOps and ML teams

Gain production-ready data engineering skills

Build a strong project portfolio for interviews

Understand real-world data architecture patterns

Work with distributed systems and cloud platforms

Improve automation and CI/CD knowledge

Increase career opportunities in data-driven organizations

Data Engineer BootCamp is ideal for

Software Engineers transitioning to Data Engineering
ETL Developers seeking modern cloud-based skills
Data Analysts moving toward engineering roles
Backend Developers working with large-scale data
Professionals aiming for Data Engineer roles
Freshers with Python and SQL knowledge

Enquire Now

Ready to build the data pipelines and platforms powering modern AI systems?

Journeys that keep Inspiring ✨ everyone at AglieFever

This bootcamp gave me the exact skills my job needed pipelines, ETL, and cloud. Super clear and hands-on.

The instructors made tough topics easy. Loved the real-world data flow examples.

Best bootcamp I have taken this year. From zero to production-level pipelines in just weeks!

Frequently Asked Questions

1. Do I need prior data engineering experience?

No, but basic programming and database knowledge is recommended.

2. Is the Data Engineer BootCamp theoretical or hands-on?

It’s 100% hands-on. You’ll build real pipelines and use industry-standard tools.

3. Will I work on cloud platforms in this course?

Yes, cloud-based data processing and architecture are covered.

4. Are data security and compliance part of the course?

Yes, we touch on governance, access control, and data lifecycle best practices.

5. Is there a final assessment?

Yes! Final Assessment and Final project are there at the end of the bootcamp.

6. What if I fall behind in the course?

You’ll get lifetime access to content and regular mentor sessions to catch up.

7. Can this help me become a cloud data engineer?

Definitely. It’s a solid base for roles in cloud-based data architecture.

8. Will this improve my chances in product-based companies?

Yes! These skills are exactly what they’re looking for in data platform teams.

9. Is the certification industry-recognized?

Agilefever certifications are valued across tech teams for their skill-based approach.

10. Do I need to renew the certificate?

No, it is yours for life once you complete the course.

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Data Engineer BootCamp

Download Brochure

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Course Overview

Program Highlights

21+ Tools Covered

Data Engineer Job Statistics

30%+

90%+

$120K – $180K

3–5×

Data Engineer BootCamp Course Content

Download Syllabus

Schedules for Data Engineer BootCamp

Talk to a Learning Advisor

Pay Monthly EMI, as low as

Data Engineer BootCamp Projects

Capstone Projects

Data Engineer BootCamp Exam Details

Career Assistance

Benefits That Set You Apart

Data Engineer BootCamp is ideal for

Ready to build the data pipelines and platforms powering modern AI systems?

Journeys that keep Inspiring ✨ everyone at AglieFever

Frequently Asked Questions

Related Bootcamps

AI and ML BootCamp

Gen AI BootCamp

Agentic AI BootCamp

MLOps and LLMOps BootCamp

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