Luke has spent the past 15+ years at the intersection of technology, data, and business helping organizations move beyond legacy systems and into environments where data actually fuels decision-making and innovation.
Luke is driven by building modern data estates that don’t just look good on a diagram but actually work: scalable, secure, and designed to empower teams with the insights they need to act. Whether it’s designing an Azure- or AWS-based lakehouse, modernizing analytics pipelines, or creating governance models that stick, Luke focuses on making complexity usable.
Along the way, Luke has led technology teams across e-commerce and professional services, built practices around DataOps and modern engineering, and partnered with clients to solve problems that span far beyond code. Luke thrives on collaboration, coaching teams, working side by side with stakeholders, and translating technical vision into outcomes like faster speed-to-insight, cost efficiency, and long-term agility.
Day 1: Nov 18, 2025
Day 2: Nov 19, 2025
9:30 am
INDUSTRY EXPERT: DATA AUTOMATION
Smart Routes: Engineering Trust in the Data Journey
As data becomes the backbone of decision-making, trust becomes its most critical asset. This session introduces Smart Routes, a modern approach to data engineering that applies supply chain principles to automate, streamline, and build confidence throughout the data journey. Leave with a blue-print for:
- Automating the Data Journey from Source to Insight. Discover how standardized connectors, automated quality checks, and reusable ingestion pipelines reduce manual effort and improve reliability.
- Building Confidence with Observability and Governance. Execute telemetry, lineage tracking, and policy-as-code for creating a control tower for your data estate—ensuring every data product is traceable, compliant, and trusted.
- Focusing on Strategic Impact, Not Operational Overhead. Shift from reactive troubleshooting to proactive optimization, enabling teams to deliver trusted insights faster and with greater efficiency.
Engineer trust into your data journey to unlock smarter decisions, reduce technical debt, and create a self-improving data supply chain.
