Summary
Mohammad Mansoori is a tech advisor and seasoned data engineer with 9 years of experience building scalable ETL pipelines and distributed systems, primarily using Python and Apache Airflow. He has a proven record of designing workflows that handle terabytes of transactional data, improving data integrity and enabling data-driven decision-making across cloud migrations and autoscaling Airflow on Kubernetes. His background spans full-stack development, API and GraphQL work, recommendation systems, and hands-on infrastructure shifts from on-prem to AWS. At Reflense he’s focused on simplifying recruitment workflows, drawing on prior roles where he architected ETL from scratch and optimized pipeline performance. Known for treating technology as a problem-solving tool rather than an end in itself, he blends pragmatic engineering with product-minded thinking. Based in Delhi, he brings both backend depth and a knack for making complex data systems cost-effective and reliable.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Netaji Subhas University of Technology, East Campus
English, Hindi, Spanish