Pipelines breaking...again?
A hands-on workshop to help you run production-grade data pipelines with confidence.
Learn what it really takes to maintain and service pipelines in production—from monitoring and observability to CI/CD, automated testing, and failure handling. With real-world examples, you’ll learn how to treat pipelines like software products, prevent incidents, detect issues early, and keep workflows reliable, maintainable, and trusted over time.
Location: Online
Date: February 12th, 2026
Time: 16:00 (CET | Berlin)
Who are this workshop for?
Data Platform Engineers
Data Engineers
Engineering Managers
Analytics Engineers
About the workshop:
Let’s face the truth: most pipelines break when you least expect it. Without monitoring, observability, testing, and proper failure handling, data workflows become fragile, noisy, and hard to trust. Teams spend more time firefighting incidents than improving the system—and reliability becomes luck instead of engineering.
This workshop is dedicated to data professionals who want to move beyond “it works on my machine” pipelines and start operating production-grade workflows that remain stable under pressure.
You’ll learn how to treat pipelines as software products and build the operational foundation to keep them reliable and maintainable.
With real-life examples, you’ll learn how to:
1. Set up monitoring and observability to detect issues early
2. Build CI/CD workflows for safe, repeatable releases and deployments
3. Add automated testing to prevent regressions and broken pipelines
4. Design robust failure handling and recovery patterns for production incidents
5. Maintain pipelines over time with practices that improve reliability, trust, and long-term scalability
If you’re responsible for pipelines that need to run every day without drama, this workshop is for you.
About TSW:
The Scalable Way is a team of eager data experts who bring the best software engineering practices to data platforms to achieve higher scalability, cost effectiveness, usability, and reliability.
With our code-first approach, we help teams build scalable, automated, and reliable data platforms that enable smooth collaboration, reduce manual work, and improve security and governance.
About the speaker:
Mateusz Paździor knows what it’s like to spend weeks putting out the same pipeline fires. Now, he helps data teams regain control of their workflows by building modular, observable data platforms that reduce operational headaches, prevent incidents, and simply work. With expertise in DataOps, CI/CD, and scalable ELT/ETL workflows, he turns fragile pipelines into reliable, maintainable systems that grow with the business.
© 2025 dltHub
