Xiyan W.

About Xiyan W.

Data Engineer with a Master’s in Applied and Computational Mathematics and 3+ years of experience building scalable data pipelines, validation frameworks, and ingestion systems for high-volume, production environments. Proven track record of improving data reliability and coverage through automated recovery pipelines, entity resolution, and multi-stage quality validation. Experienced in architecting end-to-end data workflows using SQL and Python with strong expertise in large-scale data processing, observability, and system optimization. Skilled at transforming sparse and complex datasets into high-quality, actionable data for downstream analytics and machine learning.

Experience

1. Data Engineer

   Cognizant

   Dec 2023 — Present · Bothell, WA, US

   Developed automated data transformation models to identify and repair high-value records blocked during ingestion, increasing usable data yield by 15% through logic-based recovery sequences- Implemented scalable data enrichment workflows to programmatically populate missing attributes in sparse datasets, utilizing algorithmic pattern recognition to improve dataset completeness and coverage- Engineered multi-stage data validation frameworks and automated quality gates that maintained a 98% production acceptance rate by integrating multi-source verification and consensus signals- Translated complex backend system logic into standardized business rules and documentation, mapping granular data flows to streamline conflict resolution and feature categorization for stakeholders- Optimized entity resolution and record linkage models by implementing fuzzy logic with similarity thresholds, significantly reducing false positives in high-volume production streams- Developed comprehensive data observability systems and performance dashboards to track pipeline KPIs, ensuring strict data integrity and high-confidence results for mission-critical environments- Designed modular SQL transformation layers to manage complex logic across large-scale datasets, improving pipeline maintainability and providing clear visibility into data lineage and transformation steps.

Education

• University of Washington

  Master of Science - MS, Applied and Computational Mathematics

• Florida Atlantic University

  Bachelor of Science - BS, Mathematical Science

  2018 — 2021

• Florida Atlantic University

  Minor in Computer Science, Computer Science

  2018 — 2021