Young is a self-motivated Data Engineer with a strong mathematics background.

Solving math problems has always been Young's passion since he was a little kid. This passion led him to pursue M.A. in mathematics in which he learned great value of logical thinking from extensive courses like Algebraic Topology and Advanced Linear Algebra.

Working as a data engineering instructor at Per Scholas, he constantly learned and adapted quickly to completely new technologies and responsibilities. In the beginning, he started as a teaching assistant contractor and he demonstrated such a high capacity for improvement that he was promoted to the full time instructor within a few months.

Also, he was able to communicate and interact effectively with students to derive positive outcome and positive feedback. Within a year he became core developer of various projects with multiple clients and led content developments in data engineering (Spark, Python) and data science courses (Predictive Analysis, Scikit-learn).

Languages: Python, Java, JavaScript, Ruby, R, Bash Scripting
Databases: MySQL, MariaDB, MongoDB, Oracle, PostgreSQL
Frameworks/Libraries: Spark, Hadoop, MapReduce, HDFS, Hive, Kafka, Sqoop, Oozie, Pandas, Scikit-learn, Spring MVC