Summary
Joseph M is a data engineer and founder with a decade of experience building highly scalable distributed data platforms and helping companies process data at exabyte scale. He has driven significant operational improvements at companies like LinkedIn, Netflix, and Narrativ—cutting pipeline latency from 24h to 6h, slashing processing times from hours to minutes, and boosting client spend through smart caching and enrichment. He combines hands-on expertise in modern ELT tooling (Snowflake, Databricks, Airflow, DBT, Great Expectations) with a product-minded approach that turns engineering work into self-service systems that save teams days of effort per sprint. Based in New York, he also coaches and trains data engineers through his StartDataEngineering initiative and free programs, translating top-tier software practices into everyday data engineering. An electrical engineering master’s from Columbia underpins his systems thinking and enables him to bridge ML, streaming, and batch architectures effectively.
10 years of coding experience
10 years of employment as a software developer
Master's degree, Electrical Engineering, Master's degree, Electrical Engineering at Columbia University
ST.Thomas MHSS
Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering at Madras Institute of Technology Campus
English, Tamil