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Training ETL ELT - Mastering Modern Data Pipelines

Ref: OWH528
10 people max.
5250€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning 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

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1ETL 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 2ETL 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 3ETL 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 4ETL 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 5ETL 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.

Evaluation method

  • 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

Learning method

  • 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

Methods, materials and delivery

The Training ETL ELT - Mastering Modern Data Pipelines program is delivered onsite or remote (blended-learning, e-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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

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.

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