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.
Learning objectives
- Master the fundamentals of ETL / ELT 2026 in certified professional training
- Design simple data pipelines to optimize business flows
- Develop practical skills on ETL / ELT with modern tools
- Implement reliable data extractions and transformations
- Configure ETL / ELT workflows for increased productivity
- Integrate ETL / ELT 2026 into professional data engineering 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.
Program
Module 1ETL / ELT 2026 Fundamentals: Key Concepts and Architecture (Basic Tools, Flow Diagrams)
Discover ETL / ELT 2026 principles through interactive remote modules, explore data lake and warehouse architectures, create flow diagrams with Draw.io, practice simple extraction exercises on CSV and JSON datasets, analyze real-world cases like Netflix, produce a personal ETL / ELT pipeline diagram validated by the trainer, consolidate your knowledge with a daily quiz to anchor professional basics.
Module 2Extraction and Loading ETL / ELT 2026: Heterogeneous Sources (SQL, APIs, Files, Kafka)
Dive into extracting diverse data with Python Pandas and Apache Kafka for streaming, connect to SQL databases via JDBC, integrate public REST APIs, handle real-time logs, build a complete extraction script on a simulated e-commerce project, test robustness with corrupted data, generate an initial loading report, receive personalized feedback to refine your beginner ETL / ELT skills.
Module 3Transformation ETL / ELT 2026: Apache Spark for Processing (DataFrames, Aggregations, Cleaning)
Master transformations with Apache Spark in PySpark mode, load massive datasets, apply UDFs for advanced cleaning, perform complex joins on 1 million rows, optimize performance via partitioning, integrate custom business rules, develop a Spark ETL / ELT job on a local Docker cluster, visualize results with Zeppelin, export to a simulated data lake, consolidate with a timed practical challenge to boost your data engineering expertise.
Module 4Orchestration ETL / ELT 2026: Airflow for Pipelines (DAGs, Scheduling, Monitoring)
Configure Apache Airflow to orchestrate your ETL / ELT 2026 pipelines, create modular DAGs with Python and Bash operators, schedule daily executions, manage dependencies and automatic retries, monitor via the web interface, integrate Spark and Kafka into a unified workflow, deploy on a simulated AWS cloud environment, test failure scenarios, produce a personalized monitoring dashboard, receive a trainer audit for production-ready pipelines.
Module 5Deployment and Best Practices ETL / ELT 2026: Full Integration (Spark, Kafka, Airflow, Security)
Finalize an end-to-end ETL / ELT 2026 pipeline combining Spark, Kafka streams, and Airflow, deploy on mini Kubernetes via Docker Compose, apply security with Kerberos and encryption, optimize costs and scalability, analyze real performance metrics, present your final project in live remote session, integrate Qualiopi best practices for enterprise, obtain validated skills certification, access post-training resources for continuous upskilling.
Evaluation method
- Daily interactive quizzes to validate ETL / ELT learning
- Final complete pipeline project graded by experts
- Qualiopi certificate and data engineering skills badge
Learning method
- 70% hands-on practice with real tools Spark, Kafka, Airflow
- 30% theory applied to leading company cases
- Groups limited to 10 for personalized coaching
- Unlimited access to replays and labs for 6 months post-training
Methods, materials and delivery
The Training ETL / ELT 2026 - 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 2026 - 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 2026 - 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
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
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.
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.
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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