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 advanced ETL/ELT techniques in certified professional training
- Develop performant data pipelines with Apache Spark for the enterprise
- Implement real-time streaming flows via Kafka in data engineering skills
- Orchestrate complex workflows with Airflow for increased productivity
- Optimize ETL/ELT performance on massive volumes in a professional context
- Design scalable ELT architectures tailored to business needs
- Acquire certified ETL/ELT skills to boost your career
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 Fundamentals: Extraction, Transformation, and Loading (Python, SQL, ETL Tools)
Discover advanced ETL principles with Python and SQL, extract heterogeneous data from multiple sources, transform it via optimized scripts, load into a data warehouse, perform practical exercises on real datasets, produce a first functional ETL pipeline, analyze performance for rapid enterprise production deployment.
Module 2Apache Spark ETL: Massively Parallel Distributed Processing (Spark SQL, DataFrames)
Dive into Apache Spark for large-scale ETL, manipulate DataFrames for complex transformations, integrate Spark SQL for optimized queries, process terabytes of data in a cluster, develop scalable Spark jobs, test on concrete business cases, generate production-ready deliverables with integrated monitoring.
Module 3Kafka Streaming ETL: Real-Time Flow Ingestion (Kafka Topics, Streams API)
Master Kafka for streaming ETL, configure partitioned topics, produce and consume events in real time, integrate Kafka Streams for serverless transformations, manage fault-tolerance with exactly-once semantics, apply to IoT and logs cases, deploy a complete ETL pipeline with alerting and automatic scaling.
Module 4Airflow ELT Orchestration: DAGs Scheduling and Monitoring (Airflow Operators, XCom)
Orchestrate your ETL/ELT with Airflow, design modular DAGs for dependent workflows, use Spark and Kafka operators, manage retries and backfills, monitor via intuitive UI, integrate with cloud providers, build a production-ready scheduler during practical exercises on real enterprise pipelines.
Module 5Advanced ELT 2026: Scalable Hybrid Architectures (Optimization, CI/CD, Business Cases)
Synthesize modern ETL/ELT with cloud-native architectures, optimize for cost and latency via partitioning and caching, integrate CI/CD for continuous deployments, analyze enterprise cases like e-commerce and finance, finalize a complete capstone project, prepare for certification with code review and 2026 best practices.
Evaluation method
- Daily interactive quizzes on remote platforms
- Final ETL/ELT project in pairs with expert feedback
- Qualiopi certified attestation validating intermediate skills
Learning method
- 90% hands-on practice with remote labs
- Real cases from Fortune 500 companies adapted
- Unlimited replay videos and downloadable materials
- Personalized coaching by senior data engineers
Methods, materials and delivery
The Training ETL / ELT 2026 - Mastering Massive 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 Massive 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 Massive 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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