Author Biography
Gloria Quiceno is a Senior Analytics Engineer at ICE, where she develops reliable, scalable, and cost-efficient data solutions that power strategic decision-making. She led the rebuild of ICE’s business intelligence platform for market and licensing reporting, achieving over €250K in annual savings and establishing a centralized source of truth for stakeholders. Gloria designs and orchestrates ETL and ELT pipelines using Snowflake, AWS Step Functions, and Docker, develops intuitive dashboards in QuickSight, and documents best practices that enhance collaboration and data literacy across the organization.
Before moving into analytics engineering, Gloria worked as a Business Data Analyst at ICE, where she optimized KPI reporting and automated workflows across Snowflake, Redshift, IBM Db2, Oracle, and AWS. Earlier, she built a foundation in research as a neuroscience scientist at institutions including Otto-von-Guericke University Magdeburg and University College London, developing analytical pipelines in C++, Matlab, and Python for complex data experiments.
With her combined expertise in neuroscience and data engineering, Gloria brings a scientific mindset to analytics—balancing precision, clarity, and business impact. She’s passionate about using data to simplify decision-making, foster transparency, and drive measurable outcomes across teams.