Seasoned Data Engineer with 7+ years of experience in data analysis, engineering, and management across automotive, healthcare, and real estate industries. Demonstrated expertise in leveraging modern data platforms and tools such as Jupyter, Azure Databricks, Presto, and Hive to extract insights and enable data-driven decision-making. Recognized for strong problem-solving abilities and a talent for transforming complex datasets into clear, actionable strategies that support business goals and innovation.
Case Study
Monday, June 30
03:00 pm - 03:30 pm
Live in San Francisco
Less Details
Highly automated vehicles demand robust data management to ensure functional safety throughout the development lifecycle. This presentation explores how a digital product development team leveraged cloud-based IoT solutions to unify and optimize its fragmented data streams. By adopting a scalable IoT infrastructure, the team achieved improved traceability, faster iteration cycles, and greater flexibility in handling safety-critical data. The result is a more efficient R&D process that supports compliance and innovation. Attendees will gain insight into best practices for managing complex data ecosystems in the context of safety-critical automotive systems.
In this presentation, you will learn: