Summary
Matthew Shinder is a data engineering consultant with 8 years of experience designing and modernizing ETL pipelines and automating data workflows for multi-client environments. With a double major in Computer Science and Applied Mathematics & Statistics from Stony Brook University and a Data Science certificate from Springboard, he combines strong analytical foundations with practical engineering skills in Python, SQL, Airflow, dbt, Alteryx, and GCS. He has led migrations of legacy Alteryx workflows into cloud-native architectures, authored dbt models and Python automations to standardize transformations, and built resilient Airflow DAGs that improve reliability and reduce manual intervention. Comfortable across both engineering and analytics roles, he translates business needs into auditable, version-controlled data solutions that scale. Based in Nanuet, NY, he’s actively exploring roles in Data Engineering, ETL, and Analytics Engineering and maintains a GitHub presence for ongoing software development work.
9 years of coding experience
3 years of employment as a software developer
Data Science Career Track Certificate, Data Science Career Track Certificate at Springboard
Bachelor's of Science Computer Science & Applied Mathematics and Statistics, Bachelor's of Science Computer Science & Applied Mathematics and Statistics at Stony Brook University
English, Chinese