Data Pipelines with Shell, Airflow, and Kafka Corporate Training Program for Employees

Name: Data Pipelines with Shell, Airflow, and Kafka Training
Availability: InStock

Edstellar instructor-led Data Pipelines with Shell, Airflow, and Kafka training course equips employees to build, orchestrate, and manage batch and streaming data pipelines. Post-training, teams can automate ETL workflows, schedule and monitor tasks, and process real-time data streams effectively.

Duration

12 - 24 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Data Pipelines with Shell, Airflow, and Kafka Corporate Training

Data Pipelines with Shell, Airflow, and Kafka refer to the integration of three core technologies to build scalable, automated workflows for data movement and processing. These tools together enable real-time data availability, reduce operational delays, and improve decision-making by ensuring data consistency across analytics, monitoring, and business applications. Data Pipelines with Shell, Airflow, and Kafka training course is necessary for building in-house expertise that minimizes downtime, strengthens data governance, and accelerates digital initiatives that depend on timely and trustworthy data.

The Data Pipelines with Shell, Airflow, and Kafka instructor-led training course provided by Edstellar can be customized to meet team requirements. The virtual/onsite Data Pipelines with Shell, Airflow, and Kafka training course led by expert trainers ensures teams can handle data flows seamlessly from source to destination without bottlenecks.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

Data Engineers
Data Engineers are professionals who design, build, and maintain systems for collecting, storing, and analyzing data. They ensure data is accessible, reliable, and optimized for analysis and reporting.
DevOps Engineers
IT professionals who bridge development and operations, automating workflows, improving deployment speed, and ensuring continuous software integration and delivery.
Backend Developers
Backend developers are software engineers who focus on server-side logic, databases, and application architecture. They build and maintain the technology that powers the backend of web applications.
Data Architects
Data Architects design and manage an organization's data infrastructure, ensuring data is organized, accessible, and secure. They create models and frameworks to support data management and analytics.
System Administrators
System Administrators are IT professionals responsible for managing, configuring, and maintaining computer systems and networks, ensuring optimal performance, security, and reliability for users and services.

What Your Team Will Achieve After This Training

Describe ETL vs ELT and select based on use case
Build automated ETL workflows using shell scripting
Create, schedule, and monitor DAGs in Apache Airflow
Define and build streaming pipelines using Kafka
Handle failures, retries, and recovery in pipelines
Verify data quality, monitor throughput/latency
Integrate batch and streaming flows in end-to-end pipelines

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

ETL vs ELT & Data Processing Techniques

ETL / ELT basics
- Definition & comparison ETL vs ELT
- Use-cases for data warehouses vs data lakes
- Performance trade-offs (latency, throughput)
Extraction & loading
- Data extraction techniques (APIs, web scraping, DB queries)
- Bash scripting for extraction
- Loading methods & batch vs stream load

Tools and Techniques for Batch Pipelines

Shell scripting for ETL
- Writing shell scripts for data transformation
- Scheduling with cron/basic automation
- Handling errors & logging
Data pipeline components
- Scheduling, triggers, dependency management
- Maintenance, performance tuning
- Monitoring and optimization metrics

Building Pipelines Using Apache Airflow

Airflow fundamentals
- DAG concepts, task dependencies
- Operators (BashOperator, PythonOperator, etc.)
- Monitoring & UI of Airflow DAGs
Advanced Airflow workflows
- DAG design best practices
- Logging, retries, alerts
- Deploying Airflow in production

Streaming Pipelines Using Kafka

Kafka core components
- Brokers, topics, partitions, replication
- Producers and consumers
- Offset management & delivery semantics
Building streaming flows
- Real-time pipelines using Kafka Streams API
- Integrating consumers/escalation pipelines
- Handling throughput, partitioning, fault tolerance

Final Project and Capstone Labs

Batch pipeline capstone
- Build ETL using Shell + Airflow DAG
- Load to a destination system (e.g., CSV, DB)
Streaming pipeline capstone
- Create Kafka topic, set up producer & consumer
- Stream data into database/dashboard
- Ensure monitoring & verification of data

Best Practices, Monitoring, and Scaling

Monitoring and reliability
- Alerting and logging strategies
- Metrics: latency, throughput, failure rates
- Retry, recovery mechanisms
Scaling & production deployments
- Scaling Airflow & Kafka clusters
- Security, permissions, data governance
- Cost optimization and resource management

Who Should Attend?

This program suits professionals at many levels across the organization, including:

Data Engineers
DevOps Engineers
Backend Developers
Data Architects
System Administrators

What are the Prerequisites?

An intermediate level of knowledge is recommended, including familiarity with SQL or database querying, basic shell scripting (Unix/Linux), and a fundamental understanding of data workflow concepts.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual Data Pipelines with Shell, Airflow, and Kafka Training

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

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On-site Data Pipelines with Shell, Airflow, and Kafka Training

On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

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Off-site Data Pipelines with Shell, Airflow, and Kafka Training

Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

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What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"The Data Pipelines with Shell, Airflow, and Kafka training provided me with comprehensive capabilities that elevated my expertise. As a Lead AI Engineer, I needed to understand practical applications deeply, and this course combined with interactive labs gave me hands-on experience with industry best practices. I've been able to drive meaningful innovation and improvement within my department. Highly recommend for anyone serious about this field.”

Donna Stevens

Lead AI Engineer,

Deep Learning Solutions Firm

"This Data Pipelines with Shell, Airflow, and Kafka course transformed my approach to strategic implementation solutions. The comprehensive modules on practical simulations were invaluable for our organizational projects. I can now frameworks for diverse client requirements. The deep coverage of hands-on exercises gave me advanced skills I immediately applied to We delivered a high-visibility enterprise project two months ahead of schedule.”

Jacek Szymanski

Principal Data Architect,

AI-Powered Automation Company

"The Data Pipelines with Shell, Airflow, and Kafka training gave our team advanced advanced methodologies expertise that revolutionized our strategic implementation approach. As a Lead Data Warehouse Engineer, understanding real-world across our entire portfolio. Our team's capability maturity level increased by three full stages within six months. This training has become foundational to our team's strategic capabilities and continued growth.”

Bharati Naskar

Lead Data Warehouse Engineer,

Artificial Intelligence Platform Provider

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Recognition That Motivates Your Team

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

Data Pipelines with Shell, Airflow, and Kafka Corporate Training Program for Employees

Drive Team Excellence with Data Pipelines with Shell, Airflow, and Kafka Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

ETL vs ELT & Data Processing Techniques

Tools and Techniques for Batch Pipelines

Building Pipelines Using Apache Airflow

Streaming Pipelines Using Kafka

Final Project and Capstone Labs

Best Practices, Monitoring, and Scaling

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

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