Training ETL ELT - Mastering Modern Data Pipelines

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: OWH528
10 people max.
$5,775
In-company rate: from $10,395 for the whole team
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of ETL/ELT, 68% of data pipelines fail in production, costing companies an average of 200k€ per incident.

  • Teams lose 45% of their time on manual debugging and analytics delays, impacting critical business decisions.

  • In 2026, 82% of data jobs require cloud ELT skills, sidelining outdated profiles with 30% higher turnover.

  • Every quarter without training widens a fatal competitive gap against data-driven leaders.

Alicia DIOH, Managing Director · Finance, AI & Management trainer
Alicia DIOH

Managing Director · Finance, AI & Management trainer

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

40,869 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
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  • Microsoft Dynamics 365
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  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

ETL ELT training objectives

  • Master ETL/ELT architectures for professional data pipelines
  • Develop optimized extraction and loading processes for enterprise use
  • Design scalable data transformations with modern cloud tools
  • Implement certifiable ETL/ELT orchestration via Airflow and dbt
  • Optimize data flows for performance and business reliability
  • Deploy ELT pipelines suited to data lakes and real-time processing for 2026
  • Acquire certifiable skills for production data projects

Program

ETL ELT curriculum: 5 modules over 5 days

Module 1 : ETL ELT Fundamentals: Architectures and Environment Setup (Airflow, dbt, Python)

Dive into the differences between ETL/ELT to select the right strategy for enterprise use, install the environment with Docker and configure Airflow for orchestration, explore Python Pandas and SQLAlchemy for initial extractions from heterogeneous sources like CSV, REST APIs, and SQL databases, complete a practical exercise on simple data mapping with generation of a basic DAG, produce your first functional pipeline tested locally to validate professional flows.

Module 2 : ETL ELT Extraction: Multiple Sources and Scalability (Kafka, S3, Snowflake)

Master high-volume data extraction via Kafka for real-time streaming and AWS S3 for data lakes, integrate advanced connectors with Python and Talend Open Studio, handle concrete enterprise cases like application logs and CRM exports, optimize batches for high availability, build a robust extractor module with error handling and automatic retry, test on real datasets to measure performance and produce a validation report.

Module 3 : ETL ELT Transformations: dbt and Spark for Advanced Data Cleaning

Design powerful transformations with dbt for modular ELT modeling and Spark for distributed processing, apply cleaning, aggregations, and complex joins on data warehouses like Snowflake, use dbt macros and PySpark for intelligent automations, analyze data quality via Great Expectations, develop the ongoing project with unit tests and schema documentation, generate materialized views ready for business analytics in a continuous and efficient flow.

Module 4 : ETL ELT Orchestration: Monitoring and CI/CD (Airflow, Kubernetes)

Implement complete orchestration via advanced Airflow DAGs with dynamic dependencies and Kubernetes for scaling, integrate monitoring with Prometheus and Grafana for proactive alerts, configure CI/CD pipelines with GitHub Actions for secure deployments, simulate enterprise failure scenarios with backfill and retry, optimize AWS/GCP cloud costs, finalize your pipeline with a personalized dashboard and automated run proving production resilience.

Module 5 : ETL ELT Best Practices 2026: Cloud-Native and Certifying Project

Anticipate 2026 trends with serverless ELT on AWS Glue and Databricks, integrate GDPR data governance and zero-trust security, apply cost optimization via spot instances and intelligent partitioning, review your complete ongoing ETL/ELT project with expert code review, prepare certification via MCQ and defense, leave with a cloud-deployed portfolio ready to boost your enterprise data projects.

How ETL ELT skills are assessed

  • Certifying MCQ on ETL/ELT architectures at the end of the training
  • Practical evaluation via personalized ongoing project
  • Code review and oral defense before an expert trainer

How the ETL ELT course is taught

  • Sessions led by certified active data engineers
  • Hands-on exercises on real enterprise data-intensive cases
  • Evolving ongoing project over 5 days with professional tools
  • Complete pedagogical support and accessible cloud resources

ETL ELT training: access and practical arrangements

The Training ETL ELT - Mastering Modern Data Pipelines program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training ETL ELT - Mastering Modern Data Pipelines program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training ETL ELT - Mastering Modern Data Pipelines program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

How Learni guarantees the quality of your ETL ELT training

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

ETL ELT: frequently asked questions

Which tools are used in ETL ELT training?+
Hands-on work runs on airflow, dbt, python, kafka, s3 and snowflake. Those tools come from the ETL ELT program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after ETL ELT training?+
They can master ETL/ELT architectures for professional data pipelines, develop optimized extraction and loading processes for enterprise use and design scalable data transformations with modern cloud tools. Those are the stated objectives of the ETL ELT program at Intermediate level, checked by the end-of-session assessment.
What does the ETL ELT program cover, day by day?+
Day 1: ETL ELT Fundamentals: Architectures and Environment Setup (Airflow, dbt, Python). Day 2: ETL ELT Extraction: Multiple Sources and Scalability (Kafka, S3, Snowflake). Day 3: ETL ELT Transformations: dbt and Spark for Advanced Data Cleaning. Day 4: ETL ELT Orchestration: Monitoring and CI/CD (Airflow, Kubernetes). Day 5: ETL ELT Best Practices 2026: Cloud-Native and Certifying Project. The ETL ELT program runs over 5 days, delivered on site.
How is ETL ELT training assessed?+
Assessment relies on certifying MCQ on ETL/ELT architectures at the end of the training, practical evaluation via personalized ongoing project and code review and oral defense before an expert trainer. Learni issues a completion certificate together with the individual assessment report at the end of the ETL ELT program, which an L&D team can file as evidence.
How much does ETL ELT training cost per participant?+
ETL ELT training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does ETL ELT training take?+
5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for ETL ELT training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before ETL ELT training?+
Advanced SQL proficiency, basic Python knowledge, and data warehouse fundamentals.
Is a certificate issued after ETL ELT training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for ETL ELT training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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