Daniel Seneca is a Software Development Analyst Expert with 8 years of experience building data-driven, production-grade systems that connect people and teams. Based in San Francisco, he blends DevOps and data engineering expertise—designing CI/CD standards, automated secure container workflows, and robust ETL pipelines across Snowflake, Redshift, and Oracle—to ensure reliable analytics at scale. He’s equally fluent in user-facing work, having authored modular R Shiny apps, internal R packages, and performance-tuned data transformations that make complex analyses accessible. A proponent of reproducible workflows and team-wide standards, he champions git best practices and open-source contributions to create a shared engineering language. Outside work he pursues live music and Bay Area food adventures, reflecting his long-standing interest in human connection that originally drew him from biopsychology into software.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Biopsychology, Bachelor of Science (B.S.), Biopsychology at Susquehanna University
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