Jennifer is a Lead Data Architect at Ameren with over 15 years of experience building enterprise-scale data platforms. She holds an MBA from Washington University in St. Louis and possesses deep expertise in Databricks, AI/ML integration, and cloud data modernization, underscored by recent certifications in Generative AI and AWS Databricks Platform Architecture.
Jennifer is passionate about mentorship and is actively involved with her alma mater as a mentor in Washington University’s Pam Kendall-Rijos Women’s Mentorship Program. She is dedicated to guiding and supporting business students in their professional development.
She once led the transformation of 146 billion relational data points into a high-speed NoSQL model.
Read the full overview →They enjoy working alone and do not rely on others very often. They prefer to do logical analysis and value evidence over emotions. Unless the value is proven by data, they are unlikely to value fancy features.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
Explore more public profiles from related professionals.
Discover additional public profiles from our index.
Looking for someone else? Search here for anyone.