Summary
Daniel Diemer is a Solutions Engineer with four years of hands-on experience building and operationalizing data pipelines and developer-facing tools for marketing and advertising platforms. He combines strong backend skills in Python, Java, C++, Apache Airflow, and Spark with practical cloud deployment experience (AWS, Docker) to automate ingestion, ETL, and QC for large marketing datasets. Daniel has repeatedly stepped into senior and interim leadership roles—driving iARR targets, earning CE Team MVP, and guiding technical win processes—while also mentoring teams on demo development and CRM hygiene. He’s shipped platform migrations, standardized vendor API integrations, and built automation that reduced manual data wrangling, showing a balance of product-minded engineering and client-facing technical ownership. Based in San Diego and educated at Pitzer/Harvey Mudd consortium, he brings a pragmatic, systems-oriented approach to turning messy data into reliable ML-ready pipelines.
4 years of coding experience
8 years of employment as a software developer
Bachelor of Arts - BA, Computer Science, Bachelor of Arts - BA, Computer Science at Pitzer College