Ron L'Esteve

Ron C. L'Esteve is a Data and AI Leader and professional Author residing in Chicago, IL, USA. He is well-known for his impactful books and article publications on Azure Data & AI Architecture, Engineering, and Leadership. Ron holds a Master of Business Administration (M.B.A.) and Master of Science in Corporate Finance (M.S.F.) from Loyola University Chicago. Ron possesses deep technical skills and experience in designing, implementing, leading, and delivering modern Azure Data & AI projects for numerous clients around the world. He is a Motorola Certified Six Sigma Green Belt, a Microsoft Global Challenger, and also holds numerous additional Microsoft, Snowflake, and Databricks professional certifications in Big Data Engineering, Artificial Intelligence, Apache Spark and Data Platform Architecture.

Ron is an advocate for data excellence across industries and consulting practices and empowers self-service data, BI, and AI through his high-quality article contributions to the Microsoft technical community. With over 20 years of experience, Ron has been a trusted technology advisor, strategist, and leader for the largest and most impactful cloud digital transformation and innovation projects. He has a demonstrated history of delivering on his commitments of scaling key data architectures, defining the roadmap and strategy for the future of data and business intelligence, and challenging customers to grow by thoroughly understanding the fluid business opportunities and enabling change by translating them into high-quality and sustainable technical solutions that solve the most complex challenges and promote digital innovation and transformation. He applies a practical and business-oriented approach by taking transformational ideas from concept to scale. In addition, he has proven his capabilities in leading, advising, and mobilizing globally dispersed teams to deliver complex end-to-end Azure Data and AI opportunities successfully as an enabler of positive and impactful change by championing a growth mindset.