About

Joseph M. is an experienced Data Engineer with over 8 years of experience in distributed systems, data engineering, API design, data integration from multiple sources and machine learning. He is currently working as a Senior Data Engineer at LinkedIn, where he has deep expertise in the AWS ecosystem, Big data ecosystem, OLAP data modelling techniques, Golang, Scala, Machine learning, Looker, Java, and other languages and frameworks. Joseph is a highly skilled professional who has worked with various technologies such as Snowflake, Apache Airflow, Spark, ML, SQL, HDFS, language models, Deep Learning, NLP, Big Data, Apache storm, Word2Vec, Integration, Software Engineer, CI/CD, Redis, Postgres, ui, infra, Apache Hive, Python, Golang, Scala, Java, and others. Joseph has a Master's degree in Electrical Engineering from Columbia University and a Bachelor of Engineering in Electrical, Electronics and Communications Engineering from Anna University. He has also attended ST. Thomas MHSS. Joseph has worked with various companies, including Narrativ and Annalect, in the past. At Narrativ, he designed and built source of truth fact and dimension tables and ELT infrastructure with Fivetran and DBT. He also established best practices and conventions, enabling other teams to build their data marts. At Annalect, he designed and built data models for different types of TB scale data such as geolocation, clickstream, purchase, viewership data, and designed and built data pipelines using Spark. Joseph is a highly skilled Data Engineer who has a deep understanding of distributed systems, data engineering, and machine learning. He is a valuable asset to any organization that is looking to build scalable and efficient data pipelines.