Vel Tien-Yun Wu I bring 5 years of hands-on experience in data engineering and software development, with a focus on building scalable data processing systems utilizing Hadoop, Spark, Kafka and Docker. My expertise in developing efficient ETL pipelines has been fundamental in optimizing data workflows for various data warehouses, enhancing data integrity and availability. My track record includes managing high-volume data pipelines, automating scheduling processes to improve operational efficiency, and deploying monitoring solutions that have reduced Mean-Time-To-Repair (MTTR) by 40%. I have a strong foundation in SQL, especially PostgreSQL, which enables

internal cloud-based secure file management system. - Mentored client engineers on how to maintain and enhance systems - Helped client interview and hire permanent Lead Architect and managed transition Staff Software Engineer/Data Engineer • DeMark Analytics AprilNovemberLead Data Pipeline Engineer - Implemented and maintained lambda architecture for data processing - Leveraged Hadoop and Spark to true up data in CassandraDB - Consumed terrabytes of data per hour through TCP stream and combined together with Storm and loaded into CassandraDB and RabbitMQ for quick consumption - Helped DevOps implement IaC for data pipeline with Chef - Led migration from Scala to Clojure Senior Consultant III