Gangxin Li
Experienced Data Engineer @Enable
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WORK HISTORY
Experienced Data Engineer @Enable
Stratford-upon-Avon, GB
Built 2 end-to-end ELT solutions from scratch (Python, Snowflake, Databricks, dbt, Kubernetes) established the reliable data pipelines to enhance data driven decision making and delivery high quality data for partner teamOptimized core SQL and Snowflake warehouse configurations for a 1B+ daily row pipeline, achieved a 5x runtime speedup and 70% reduction in compute costs through strategic refactoring and resource tuning.Owned and scaled the internal dbt-library platform (central macros, CI/CD, Platform agnostic, Integration test), standardising development practices and increasing team productivity.Developed monitoring dashboards in Azure/Snowflake to track pipeline SLAs, costings, model health, and anomalies, improving incident resolution speed.Provisioned and secured Snowflake database change management (DCM) with multiple approaches, and released the data mesh in principle.Collaborated with product and stakeholders, ensuring pipelines met governance, resiliency, and security requirements.
EDUCATION
Southwest University
Bachelor's degree, Computer Science
University of Glasgow
Master's degree, Data Science
ABOUT GANGXIN LI
Passionate Data Engineer with strong SQL/Python and modern ELT experience (dbt + Snowflake on Azure). Skilled in building reliable, scalable, and secure data pipelines, SQL optimization, and cloud-based data platforms. Experienced in CI/CD, data warehousing, data modelling, data lakes, visualisation and Agile delivery, turning business needs into high-quality, production-ready data products.
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