scalable, high-throughput Big Data systems into production environments. Architect, deploy, and manage the foundational data systems that underlie modern AI infrastructure, including vector, NoSQL, and document databases. Develop end-to-end data engineering solutions, including robust ETL/ELT pipelines, API services, and data ingestion frameworks. Design and build … execution and delivery in complex data environments. Deep practical understanding of the database ecosystems that power AI and machine learning infrastructure (e.g., Vector databases, NoSQL, and Document stores).Hands-on experience building, scaling, and shipping large-scale data platforms in production. Deep practical experience with distributed data processing frameworks (e.g. ...