Agentic AI in Data Pipelines

In February, we are taking a look at what is happening with agentic AI and data pipelines 🙌 Join us in lively Hoxton as we learn from Carmen's and Laura's learning from real-world experiences with agentic AI systems in data pipelines.

We are running this event in collaboration with Sahaj Software.

6pm: Doors Open
6:30pm: Talks Start

🗣️The Speakers🗣️

Beyond the Hype: Practical AI for Real-World Data Engineering Time Sinks
Carmen Mardiros, Solution Consultant at Sahaj Software
(Carmen's LinkedIn)
Abstract:
While the world is obsessed with agentic self-healing ETL pipelines, data engineers everywhere still spend hours upon hours on the same tasks as before -- debugging failing tests, exposing new fields into pipelines, navigating schema changes, QA-ing data and business logic.
In this session we'll look at some practical examples from the trenches around how to shrink those time sinks using AI coding assistants so that you can spend more time on what really matters. Examples are dbt-based and Claude Code but accompanied by core tenets applicable to any stack and any coding assistant.

Carmen's Bio:
Carmen Mardiros has worked around analytics and data for 15 years. Her experience covers areas such as Data architecture design and implementation and has worked in roles that cover Data Strategist, Lead Data Engineer, Data Warehouse Architect, Tracking Developer, Product/Project Manager, Technical BA, Insight Analyst, Data Modeller.

Agentic AI for Data Pipelines: Our Good, Bad, and Ugly Learnings
Laura Bogaert, Co-Founder and COO at Tracer.cloud
(Laura's LinkedIn)
Abstract:
As teams move from single models to agentic systems, data pipelines present a uniquely hard production challenge: failures are distributed, context is fragmented, and root-cause analysis is slow. This talk shares practical learnings from building agentic AI systems for troubleshooting real-world data pipelines, including what worked, what didn’t, and why data ontology and context management are critical. Attendees will leave with concrete insights into designing agentic architectures that actually hold up in production.

Laura's Bio:
Laura is a co-founder of Tracer.cloud, where she works on building agentic AI systems for alert investigation in production data pipelines across industries. She started her career at McKinsey as part of the fintech and biopharmaceutical team working on AI strategy and M&A. She holds a BSc from University College London and a MSc from Oxford University.

8pm: Talks finish. We have the space for networking until 9pm.

There will be a short break between the talks. Afterwards, we may head to a pub to continue chatting.

You can sign up by subscribing to this event

🚨IMPORTANT: Please make sure to have a valid form of ID.

See you all on the 26th February🤩

Happy Networking 🍻

About our collaborators: Sahaj is an artisanal technology services company crafting purpose-built AI and data-led solutions for our clients.

By attending this event, you agree to abide by our rules of conduct:

• 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.