Who This Is For

For Engineers:

You’re a mid-level engineer ready to go beyond courses. You want to build a real, full-stack data platform with cloud-native tools and get expert feedback every step of the way.

For Companies:

Your engineers need more than content, they need mentorship to deliver production-ready platforms. We help your team level up by building real solutions with expert guidance.

What You'll Achieve

Engineers:

  • Build your own full-stack data platform in just 12 weeks
  • Gain real-world experience with cloud tools, pipelines, orchestration, and data modeling
  • Create a portfolio-ready project that showcases your architecture and skills
  • Receive 6 months of expert mentorship to grow beyond the build

Companies:

  • Upskill engineers to deliver scalable, production-ready platforms
  • Accelerate adoption of modern data tooling and architecture
  • See immediate ROI as engineers build and improve your internal data platforms with expert guidance


How It Works (Week-by-Week Breakdown)

When you join the Accelerator, you’ll start working on your own individual project—tailored to your experience, tech stack, and career goals. There’s no fixed curriculum to follow. You build your own platform, with guidance every step of the way.

To support you, we host multiple live group coaching sessions each week, which all active students can join—regardless of start date. These sessions are focused on feedback, troubleshooting, and progress support, not group projects or collaboration.

The program is structured around a 12-week project roadmap, with check-ins and milestones to keep you on track. But you’re not on a timer—you’ll continue receiving coaching and community support for a full 6 months through live sessions, Discord access, and mentor feedback.

Want to see how it all comes together?
Here’s a look at the 12-week structure that guides your journey—milestones, focus areas, and how your project takes shape from idea to implementation:

What Happens After Week 12?

Your structured project roadmap runs for 12 weeks, but the support doesn’t stop there. For the full 6 months, you’ll continue to:

  • Join any of the weekly live group coaching sessions
  • Get help refining, extending, or scaling your project
  • Receive feedback on CVs, job applications, and interviews
  • Ask questions or troubleshoot challenges via Discord and check-ins

You’ll stay connected, supported, and moving forward—whether you're preparing for a new role or growing within your company.

Find Out If The Accelerator Is For You

Book a free strategy session with Andreas.
We’ll discuss your current situation, your biggest challenges, and how the Full-Stack Data Engineer Accelerator can help you reach your goals.

Or get in touch via email:

Send me a quick email and I'll answer your questions.
Please provide a bit of your background and your goals so I can give better adivce.

Meet Your Coaches (and Learn How We Support You)

You'll only be mentored by senior engineers who’ve built real systems, solved real problems, and know how to help you grow—whether you’re advancing your own career or upskilling a team.

Andreas Kretz

Andreas is a seasoned Data Engineer, mentor, and the founder of Learn Data Engineering. With over a decade of hands-on industry experience and more than 2,000 students from 98 countries, he’s helped engineers at all levels build real-world platforms and grow their careers.

👉 LinkedInYouTubeInstagramTwitter(X)

Arockia Nirmal

Arockia is a Data Engineer and founder of ZippyTec, a consulting and coaching firm based in Germany. He began his career in 2012 as a developer in India and has since worked across data engineering, database development, and DevOps. His practical, infrastructure-aware mindset helps students design scalable, cloud-native data platforms with confidence.

👉 Connect with Arockia on LinkedIn

Santiago Caraballo

Santiago took a unique path into tech, moving from a career in medicine to becoming a skilled data engineer in Argentina. He now works in IT consulting, specializing in BigQuery, Dataflow, and conceptual data design. Known for his curiosity and thoughtful problem-solving, he helps students tackle tough technical challenges with clarity and creativity.

👉 Connect with Santiago on LinkedIn

Coaching Schedule

  • Santiago Caraballo: Tuesdays at 7:30 PM ET / 4:30 PM PT
  • Arockia Nirmal: Wednesdays at 4:00 PM CET / 10:00 AM ET
  • Andreas Kretz: Fridays at 4:00 PM CET / 10:00 AM ET
  • Multiple global time slots
  • Small group sessions focused on real projects and growth
  • Sessions may be recorded for internal improvement only—never shared externally


Why This Is Different

  • A mentorship-driven accelerator built around real project delivery
  • You’ll build your own full-stack data platform, guided by senior engineers
  • Coaching adapts to your goals, experience level, and tech stack
  • Designed for busy professionals—fit it around your job or team schedule
  • Backed by lifetime access to the Data Engineering Academy for tools and templates
  • Built for individuals and companies who want to solve real problems, not just complete lessons


Start Your Journey Towards Success Now!
Next start dates are Monday, May 19 | Monday, June 23 | Monday, July 21 | Monday, August 18.
Enroll until Sunday, May 18 to join the May cohort.

Everything you need to level up, without the fluff:
  • 12-week structured accelerator to build your own full-stack data platform
  • 6 full months of expert mentorship from senior data engineers
  • Personalized learning plan tailored to your goals and experience
  • Real-world project development using actual data, not toy examples
  • Weekly live Zoom sessions with Andreas and the coaching team
  • Private Discord access for daily support, feedback, and peer exchange
  • Support with CV writing, LinkedIn, and project documentation
  • Peer accountability and exchange in a focused, high-quality community
  • Lifetime access to the Learn Data Engineering Academy (valued at $600/year)
  • Certificate of Completion upon finishing your project and program milestones
Select Payment Method
One-Time Payment:

$2,000*

or

3 Month Payment Plan:

$733/month*

*excl. local tax

Pay in Euros:
One-Time Payment – click here
3 Month Payment Plan – click here

What Our Students Say

Testimonials
Tim_A
Tim A.
Senior Data Engineer
"I joined Andreas’s coaching program to deepen my understanding of data engineering, and it exceeded my expectations. This course offers incredible value for anyone looking to accelerate their ability to design and implement data pipelines effectively. Whether you’re an experienced practitioner or an application developer transitioning into data engineering, you’ll find gaps to fill and new approaches to refine your skills. The small group setting, where .."

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Faiz_P
Faiz P.
Data Engineer
"I subscribed to the lifetime learning platform along with the 6-month coaching program. Coming from a data analyst background (BI tools, Python, Excel, and SQL), I had no prior experience with data engineering tools. 1) Review of the 6-Month Coaching Program: - Personalized learning path: Trainers provide customized modules based on my skills and local job market demands, including a structured learning plan and tailored projects like OLTP, OLAP, or ML-based projects..."

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Souravi
Souravi B.
Data Scientist
"Incredible learning journey.. highly recommend! Transitioning from data science to data engineering and MLOps has been an enriching journey. The hands-on experience with pipelines, cloud infrastructure, and automation has deepened my understanding of deploying scalable machine learning solutions. Thesupport from mentors has been invaluable, they’ve been incredibly encouraging, always providing guidance and practical insights. It is a personalised goal based approach and each part of the goals has been an opportunity to grow, and I’m still learning every day. This journey has strengthened my technical skills and broadened my perspective on end-to-end machine learning workflows."

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Ram
Ram S.
Data Engineer
"Comprehensive Data engineering Training: I went through the coaching program from Andreas Kretz and thoroughly enjoyed the sessions. Both beginners and experienced folks can take the course and gain value out of it. Data Academy videos were mostly hand on to develop a variety of skills including database design, data warehousing, data modeling, and data pipeline development. Follow Andreas on various channels to gain insights on what's happening on the Data Engineering world."




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Frequently Asked Questions

Will I fall behind if I can’t attend every live session?

No. You can join any of the weekly group sessions that fit your schedule, there's no penalty for missing one.

What if I don’t know all the tools or technologies yet?

You get lifetime access to the Learn Data Engineering Academy to fill any gaps as you build. We’ll help you pick tools aligned with your goals and skill level.

Do I need a full-time commitment to keep up?

No. Most students join while working full-time—this is built for busy professionals.

Will I actually finish a real project?

Yes, you’ll build a full-stack data platform based on your own goals, tech stack, and dataset. You’ll have structure, deadlines, and support to finish strong.

What happens after the 12 weeks are over?

You’ll still have full access to live sessions, Discord support, and mentorship for the rest of your 6 months. Many students refine, extend, or apply their project post-week 12.

Do you offer cloud access to tools like Snowflake, Databricks, or AWS?

We don’t provide managed cloud accounts—but nearly every cloud platform and tool offers a free tier or startup credits, and setup is easy. It’s a far more realistic experience than using a pre-configured sandbox.

Is this program up-to-date with modern tools and best practices?

Yes. We guide you through platform design using modern stacks like Snowflake, Airflow, dbt, Spark, Databricks, AWS, and more—based on your needs.

Can this really help me get a better job or grow in my company?

Absolutely. You’ll leave with a real-world project, improved CV and LinkedIn, and the confidence to speak about what you’ve built.