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Steve Dell'Orto is a seasoned technology leader and currently serves as the Field CTO, Americas at Confluent, the company founded by the original creators of Apache Kafka. With over two decades of experience, he specializes in data streaming, cloud computing, big data analytics, and enterprise architecture. Steve is passionate about helping organizations harness the power of real-time data to transform their businesses and drive innovation. Before joining Confluent, he held significant leadership roles at Amazon Web Services (AWS), where he was the Global Head of Solutions Architecture for Analytics, AI/ML, and previously led Specialist Solutions Architecture for Big Data & Analytics in the Americas. His expertise lies in bridging the gap between complex data technologies and tangible business outcomes, advising C-level executives and engineering teams on data strategy and modern data platforms. He is a frequent speaker at industry events and a respected voice in the data community.
Steve Dell'Orto's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads technical strategy and engagement with key customers and partners across the Americas, evangelizing data streaming with Apache Kafka and Confluent. Helps organizations build next-generation data-intensive applications and unlock the value of data in motion.
Led a global team of specialist solutions architects focused on AWS's analytics, big data, and artificial intelligence/machine learning services. Drove customer adoption and success by providing deep technical guidance and thought leadership.
Played an instrumental role in shaping and promoting cloud-based big data and analytics solutions during his tenure at AWS, contributing significantly to the growth and market leadership of AWS in this domain. He helped countless enterprises migrate and modernize their data workloads to the cloud.
Regularly presents at major technology conferences (such as Kafka Summit, AWS re:Invent) and industry events, sharing insights on data streaming, real-time analytics, and modern data architectures, influencing best practices across the industry.
University of Southern California - Year 2007
University of Virginia
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