Training ETL / ELT - Optimizing Massive Data Pipelines

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: FBP121
10 people max.
$4,620
In-company rate: from $7,865 for the whole team
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Without expert ETL/ELT mastery, 70% of data pipelines fail under massive load, causing 500k€ in annual losses from idle machine time according to Gartner.

  • Poorly optimized data lakes create data silos that block critical business insights and expose organizations to GDPR fines up to 4% of revenue.

  • Careers stagnate: expert data engineers earn 30% more while laggards risk obsolescence.

  • Invest now to scale your professional data pipelines without failure.

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
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  • Microsoft Dynamics 365
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  • Palo Alto Networks
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  • VMware
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  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

ETL / ELT training objectives

  • Master hybrid ETL/ELT architectures to optimize enterprise data flows
  • Design resilient pipelines with Apache Spark and Kafka for massive processing
  • Implement scalable ELT strategies via Airflow for modern data lakes
  • Optimize ETL/ELT performance by managing partitioning, caching, and distributed tuning
  • Deploy certified automated orchestrations for professional data engineering skills
  • Develop advanced monitoring and troubleshooting skills for reliable pipelines

Program

ETL / ELT curriculum: 4 modules over 4 days

Module 1 : Advanced ETL: Spark Architectures and Optimization (partitioning, caching, tuning)

Dive into expert ETL architectures with Apache Spark, analyzing real-world massive flow cases, configure optimized jobs using DataFrames and RDDs, implement dynamic partitioning and strategic caching, conduct hands-on exercises on terabyte datasets, produce comparative benchmarks to validate performance gains, and prepare production-ready deliverables for enterprise use.

Module 2 : Hybrid ELT: Kafka Streams and Spark Structured Streaming Integration (real-time ingestion)

Explore ELT pipelines with Kafka for real-time ingestion, couple Kafka Streams with Spark for scalable transformations, develop custom connectors for data lakes, test resilience via fault-tolerance and exactly-once semantics, simulate peak load scenarios, generate monitoring dashboards via Kafka metrics, and deploy functional prototypes tailored to professional certification needs.

Module 3 : ETL/ELT Orchestration: Advanced Airflow DAGs and Distributed Scheduling (dependencies, retries)

Build complex ETL/ELT workflows with Apache Airflow, define dynamic DAGs integrating Spark and Kafka operators, manage cross-dependencies and intelligent retries, automate horizontal scaling via CeleryExecutor, analyze logs for advanced debugging, integrate XCom for data passing, and validate through end-to-end simulations, producing enterprise-ready orchestrations.

Module 4 : Global ETL/ELT Optimization: Monitoring, Security, and Scaling (Prometheus, Kerberos)

Finalize with global tuning of ETL/ELT pipelines, implement monitoring via Prometheus/Grafana coupled with Spark UI, secure flows with Kerberos and at-rest encryption, optimize cloud costs via spot instances, test chaos engineering for resilience, develop custom Slack/Teams alerts, and conclude with a deliverable capstone project certifying expert data engineering skills.

How ETL / ELT skills are assessed

  • Daily technical quizzes on advanced ETL/ELT
  • Final project: Complete deployed ETL/ELT pipeline
  • Peer-review evaluation and mentor feedback

How the ETL / ELT course is taught

  • 70% hands-on practice on real Spark clusters
  • Fortune 500 company case studies
  • Individual mentoring by certified experts
  • Unlimited access to post-training resources

ETL / ELT training: access and practical arrangements

The Training ETL / ELT - Optimizing Massive 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 - Optimizing 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 - Optimizing 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

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 partitioning, caching, tuning, real-time ingestion, dependencies and retries. Those tools come from the ETL / ELT program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after ETL / ELT training?+
They can master hybrid ETL/ELT architectures to optimize enterprise data flows, design resilient pipelines with Apache Spark and Kafka for massive processing and implement scalable ELT strategies via Airflow for modern data lakes. Those are the stated objectives of the ETL / ELT program at Expert level, checked by the end-of-session assessment.
What does the ETL / ELT program cover, day by day?+
Day 1: Advanced ETL: Spark Architectures and Optimization (partitioning, caching, tuning). Day 2: Hybrid ELT: Kafka Streams and Spark Structured Streaming Integration (real-time ingestion). Day 3: ETL/ELT Orchestration: Advanced Airflow DAGs and Distributed Scheduling (dependencies, retries). Day 4: Global ETL/ELT Optimization: Monitoring, Security, and Scaling (Prometheus, Kerberos). The ETL / ELT program runs over 4 days, delivered on site.
How is ETL / ELT training assessed?+
Assessment relies on daily technical quizzes on advanced ETL/ELT, final project: Complete deployed ETL/ELT pipeline and peer-review evaluation and mentor feedback. 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 $4,620 per participant. For an in-company team, the flat rate starts at $7,865 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?+
4 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 mastery of SQL, Python/Scala, Apache Spark; proven experience in data pipelines and distributed architectures.
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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