Summary
Kate Daly is a Principal Engineer based in Boston with 12 years building scalable data platforms, pipelines, and stores to enable large-scale data management and AI initiatives. She has led cross-cloud (AWS/GCP) migrations, architected real-time Snowflake and Kafka pipelines with sub-3-minute SLAs, and drove consolidation of legacy Java estates into modern Python at scale. Her work in bioinformatics includes owning ontology-driven scientific data governance and Airflow orchestration processing 100+ TB/month and 250k+ NGS analyses monthly, cutting analysis time from weeks to days. She pairs hands-on engineering with team leadership—mentoring engineers, defining roadmaps, and launching self-serve data platforms that increase user autonomy. A business-trained technologist (MBA) who moved from loyalty and ad-tech into biosecurity and lab automation, she blends product sensibility with deep systems expertise to turn complex scientific workflows into reproducible, cost-optimized production services.
12 years of coding experience
5 years of employment as a software developer
MBA, MBA at Latvijas Universitate