Summary
Chaitya Shah is a data engineer with 10 years of experience building production analytics and ML-driven solutions, currently contributing to AWS after leading data engineering at Amazon. He has a strong track record migrating ETL workloads to Airflow, designing Redshift/EMR pipelines, and creating actionable BI dashboards to surface business trends with confidence intervals. Previously at Fidelity he combined statistical modeling and automation—detecting insider trading, speeding compliance checks threefold, and cutting repetitive work with fuzzy-matching duplicate detection. A Northeastern Data Science master's alumnus, he pairs academic research experience (published visualization survey) with hands-on engineering, and enjoys translating complex signal into reliable, user-friendly data products.
10 years of coding experience
6 years of employment as a software developer
Secondary School Certificate, Mathematics and Physical Science, 87%, Secondary School Certificate, Mathematics and Physical Science, 87% at Udgam School for Children, Ahmedabad
Master's degree, Data Science, Master's degree, Data Science at Northeastern University
Bachelor of Technology in Computer Engineering, Computer Engineering, Bachelor of Technology in Computer Engineering, Computer Engineering at Dharmsinh Desai Institute of Technology
High School, 88%, High School, 88% at Ahmedabad International School