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Wednesday May 27, 2026 14:00 - 14:30 CEST
Limited Capacity full
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SQL remains the most widely used language in data engineering.

Yet modern data platforms are increasingly fragmented: warehouses, query engines, lakehouses, streaming systems and AI pipelines often require different tools, different execution environments and different ways to define transformations.

What if SQL pipelines could be **portable across engines**, while also providing built-in guarantees for data quality and testing?

In this talk, I will introduce **RivetSQL**, an experimental project exploring a new approach to **declarative SQL pipelines with multi-engine execution**.

The goal is simple:

> Define your pipeline once, run it anywhere.

RivetSQL allows developers to describe data pipelines declaratively while enabling:

- execution across different SQL engines
- built-in data quality checks
- integrated testing of transformations
- reproducible and portable pipelines

In this session, we will explore:

- why SQL pipelines remain difficult to make portable
- how modern data stacks introduce new execution challenges
- the architecture behind RivetSQL’s multi-engine execution model
- how testing and data quality can be integrated directly into pipeline definitions
- lessons learned from building an early-stage language experiment

Finally, we will discuss how these ideas could impact **future data platforms and AI pipelines**, where portability, reproducibility and data quality become critical.

This talk is aimed at engineers building data platforms, analytics systems or AI pipelines who want to rethink how SQL pipelines should work in modern infrastructures.
Speakers
avatar for Massil Chabane

Massil Chabane

Decathlon
Staff Data Engineer at Decathlon, I have been working on data platforms and data engineering for the past 6 years, after starting my journey in tech more than 10 years ago.

At Decathlon, I contributed to building parts of the company’s data platform, including initiating the automated data ingestion tooling that powers Decathlon’s data catalog. I later led the data architecture team, helping shape how data platforms evolve at scale in a large retail... Read More →
Wednesday May 27, 2026 14:00 - 14:30 CEST
🤖 DATA/AI ARENA 135 Rue Sadi Carnot, Ronchin, France

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