Yameen Khan
About Yameen Khan
Yameen Khan is a Python Back End Developer with extensive experience in data management and web scraping. He has automated over 100 scraping processes and currently works at Vamstar, where he has developed a robust web scraping framework and implemented efficient data pipelines.
Work at Vamstar
Yameen Khan currently holds the position of Python Back End Developer at Vamstar, where he has been employed since 2022. His role involves developing and maintaining backend systems, contributing to the company's data management capabilities. Prior to this, he served as a Senior Subject Matter Expert for a brief period of three months in 2022. His experience at Vamstar includes implementing a data pipeline that optimized data flow and deduplication processes, enhancing overall system performance.
Education and Expertise
Yameen Khan completed his Bachelor of Technology in Computer Science at BSA Crescent Institute of Science and Technology from 2015 to 2019. His foundational education was at Delhi Public School Srinagar, where he studied from 2003 to 2015. His expertise includes proficiency in Python development, web scraping technologies, and AWS services such as ECS, CloudWatch, and Redshift Spectrum. He has developed a Scrapy-based web scraping framework capable of processing 100 records per minute from over 70 websites.
Background
Before joining Vamstar, Yameen Khan worked as a Data Analyst at TantraByte.Pvt.Ltd in Delhi, India, for ten months in 2019. His responsibilities in this role included data analysis and management, which laid the groundwork for his subsequent positions in the tech industry. His career trajectory reflects a strong focus on data processing and backend development.
Achievements
Yameen Khan has automated over 100 scraping processes using Prefect, managing substantial data volumes exceeding 40 terabytes. He has enhanced system reliability by 40% through the use of AWS CloudWatch, effectively addressing performance issues. His contributions to data pipeline implementation have improved data handling and operational efficiency within his current role.