Software Engineer at ThermoFisher Scientific

Led ETL pipeline development and data quality evaluation across 5 sources, achieving 98% accuracy in a centralized dashboard. Accelerated data processing by 93% (10 hrs to 45 mins) using Apache Spark with caching. Delivered NLQ-to-SQL assistant for 200+ stakeholders, with evaluation metrics and reduced ad hoc turnaround from days to minutes. Implemented model cards and monitoring plans; built predictive features and dashboards for funnel performance and time-to-insight with documented data lineage and quality thresholds.