Ensuring Quality in Data Pipelines

Just in case you've been thinking that AI is the only thing that anyone is talking about in Testing these days we've decided to give you a talk that has a bit of a different focus. Not nearly enough these days do we talk about how we can ensure that the data we are working with has sufficient levels of quality. To this end we have brought a speaker in who is an expert in Data and Quality and all of the stops in between.

Ensuring Quality in Data Pipelines

• This talk explores how adopting a shift-left approach to data quality—embedding validation, testing, and monitoring early in the pipeline development lifecycle—can prevent issues before they reach production. We will discuss practical strategies and testing practices that help teams build more reliable and observable data systems.

Manasi's Bio :
Manasi Shah is a Senior Quality Engineer at Slalom Build with nearly a decade of experience in quality engineering across industries such as airlines, banking, ecommerce, and telecommunications. She specializes in test automation, cloud platforms, and building reliable data and application pipelines through strong testing and quality AI practices.

https://www.linkedin.com/in/manasishah24/

Venue - Slalom Build's offices