Ability to provide technical leadership and establish engineering best practices, including solution architecture, code reviews, reusable engineering frameworks, data security and governance controls, cloud cost optimization, production reliability, documentation, mentoring engineers, and collaborating across data science, enterprise IT, governance, and marketing teams. Strong hands-on experience in data engineering and architecture, with advanced proficiency in Python, SQL, Snowflake, Snowpipe, and designing scalable ETL/ELT pipelines integrating structured and unstructured data from internal systems, external vendors, APIs, and cloud platforms.