Chenyun Yang

Background

About Chenyun Yang

Highly skilled Data Engineer with extensive experience in designing and implementing robust data systems. Proficient in maintaining scalable, reliable, and production-grade MySQL database environments on AWS. Demonstrated expertise in performance tuning, query optimization, and index tuning to enhance database efficiency. Skilled in developing database tools and scripts to automate tasks and reduce operational toil. Experienced in designing Dockerized data ingestion services and deploying them via Terraform on Amazon ECS. Proficient in managing database upgrades and migrations, ensuring high availability and data integrity. Adept at implementing data ingestion and processing workflows using advanced technologies like Apache Spark, Hadoop, and Amazon Athena. Proficient in building ETL processes and leveraging AWS services such as S3, Redshift, and CloudWatch. Skilled in data visualization and reporting using Tableau, including connecting AWS data using REST APIs. Strong experience with big data technologies and cloud platforms, including AWS, Azure, and GCP. Technical skills include Python, SQL, R, Java, SAS, shell scripting, and various database systems such as MongoDB, Neo4J, NoSQL, OrientDB, and DynamoDB. Experienced in machine learning techniques and tools like Git, Jupyter Notebook, JIRA, and Docker. Strong background in Linux operating systems and system automation. Educational background includes a Master of Science in Data Science with a high GPA, and dual Bachelor of Science degrees in Statistics and Chemistry.