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Data Engineers London is partnering once again with the London Snowflake User Group to bring you a data engineering event in the heart of the City of London this May 🎉 Sign up is either through this Meetup event or on LSUG's event. Agenda is as follows:

6:00pm: Doors Open & Networking at Kubrick

6:30pm: Talks Start

🗣️The Speakers🗣️

Utilising Snowflake Openflow for Regulatory Reporting
Lucie Gamby, Data Engineer at Entain (Lucie's LinkedIn)

Talk Abstract
Regulatory reporting often comes with a large list of requirements (in our case, an 80-page document full of them) alongside specific and complex business logic as a given. With a large volume of sensitive data to handle, we wanted a solution that would help keep our data within the same environment - hence the choice to explore Openflow as an option to facilitate our delivery to regulators. This session will cover what it took for our team to go from no prior knowledge or experience of Openflow to deploying a production-ready system with it. Demonstrations, What Went Wells, Pitfalls, and what we’d do differently next time!

Speaker Bio
Lucie graduated from Lancaster University with a degree in Computer Science in 2023 and joined the Sigma Labs graduate scheme in January 2024. After a 15-week coding fundamentals course, she specialised in Data Engineering, and then placed at Entain in June 2024. Having been exposed to a wide range of tools and platforms since, Lucie has since been tasked with leading the charge for her team to adopt Snowflake Openflow into the tech stack.

Data Engineering: People, Patterns, Platforms
Yomi Bazuaye, Data, Analytics and ML Engineering Leader (Yomi's LinkedIn)

Talk Abstract:
What should your data platform do? What should it not do? How should it harness AI? Stories and examples from building and scaling data platforms across multiple industry sectors and organisations.

Speaker Bio:
Yomi is a Data professional with many years of experience in data and analytics engineering. In recent years he has focussed on helping organisations build self-service data platforms, create data products and design and implement a data culture. He has worked within multiple sectors including online banking, e-commerce and supply chain, using multiple tech stacks, including: AWS, Snowflake, GCP, Azure, Databricks.

See you all on the 26th May 🤩

Happy Networking 🍻

If you would like to help keep us running, please support us on Buy Me A Coffee.

By attending this event, you agree to the following conditions & rules of conduct:

  • Admittance into event is as long as places last.
  • Respect others' opinions which may differ from your own.
  • Keep it appropriate - no harassment of fellow attendees will be tolerated.
  • If you see something or have a complaint, please reach out to one of the organisers on LinkedIn or email events@dataengineerslondon.com.

Related topics

Events in Greater London, GB
Artificial Intelligence
Machine Learning
Data Architecture
Data Engineering
Data Pipelines

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