Steven Shi
About Steven Shi
Steven Shi is a Senior Software Engineer at Quantcast in London, United Kingdom, where he has worked since 2014. He has a background in .NET development and expertise in big data technologies, cloud computing, and database management.
Work at Quantcast
Steven Shi has been employed at Quantcast as a Senior Software Engineer since 2014. He has worked in this role for 10 years, contributing to various projects and initiatives within the company. His expertise in big data technologies and cloud computing has played a significant role in his responsibilities at Quantcast, where he focuses on developing and optimizing data-driven solutions.
Previous Employment Experience
Before joining Quantcast, Steven Shi held several positions in software development. He worked as a .NET Developer at CDSM Interactive Solutions from 2009 to 2010 for one year. Prior to that, he was employed at Enfis Group Plc as a .NET Developer for six months in 2008. Additionally, he served as a System Developer at Confused.com from 2010 to 2012 for two years, gaining valuable experience in various aspects of software engineering.
Education and Expertise
Steven Shi studied at Swansea University, where he earned a Master of Science (MSc) degree in Computing and Software Technology from 2007 to 2008. His academic background laid the foundation for his expertise in big data technologies, including Spark and Hadoop/Hive. He also possesses skills in cloud computing, particularly with Amazon Web Services (AWS), and is proficient in database management using Postgres.
Technical Skills and Specializations
Steven Shi has developed a diverse skill set throughout his career. He has expertise in big data technologies, specifically Spark and Hadoop/Hive, which are essential for processing large datasets. His knowledge of cloud computing, particularly with AWS, enhances his ability to design scalable solutions. Additionally, he is experienced in database management with Postgres and has worked with messaging systems such as Kafka, which are critical for real-time data processing.