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 fundamental concepts of ETL and ELT to develop professional skills in data pipelines
- Design extraction, transformation, and loading processes tailored to the company
- Implement simple pipelines with open-source tools in a certifying training
- Configure data flows to optimize integration in a professional environment
- Develop practical ETL/ELT skills to boost data productivity
- Understand the impact of pipelines on the company's data strategy
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 Fundamentals: Key Concepts, Architectures, and First Flows (Python, SQL Tools)
Discover ETL and ELT principles through clear explanations and practical diagrams, implement your first pipeline extracting data from various sources like CSV and SQL databases, transform datasets with Pandas to clean and enrich information, load them into a simulated data warehouse, complete guided exercises on real business cases, produce a testable functional deliverable at the end of the day to consolidate your beginner Data Engineering skills.
Module 2Advanced ETL / ELT Pipelines: ETL Integration & Pipelines, Apache Spark (Distributed Exercises)
Dive into ETL pipelines with Apache Spark for handling large volumes, configure Spark jobs in local mode to transform massive data, integrate ELT steps for optimized loading, practice on real datasets like application logs, debug common errors with monitoring tools, collaborate in pairs on a complete ETL project, generate visual reports to validate transformations, apply these skills to immediate professional scenarios.
Module 3ETL / ELT Orchestration: Kafka & Airflow for Automated Pipelines (Deployment, Monitoring)
Master orchestration with Kafka for real-time streams and Airflow for scheduling ETL/ELT DAGs, deploy an end-to-end pipeline integrating Kafka extraction, Spark transformation, and warehouse loading, configure alerts and monitoring via Airflow UI, test on concrete cases like e-commerce analysis, optimize performance for enterprise scalability, finalize a capstone project deliverable with source code and documentation, receive personalized feedback for immediate application in your role.
Evaluation method
- Daily interactive quizzes on ETL/ELT concepts
- Final project of a complete and functional data pipeline
- Practical evaluation through hands-on exercises and peer-review
Learning method
- Active pedagogy with 70% practice on real tools
- Progressive exercises adapted to beginner level
- Concrete case studies from Data Engineering companies
- Unlimited access to a post-training resources platform
Methods, materials and delivery
The Training ETL / ELT - Mastering the Basics of 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 the Basics of 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 the Basics of 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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