Dandan W.
About Dandan W.
Dandan W. is a Department Manager at LatentView Analytics, specializing in cloud platforms and data architecture. With a background in data research and database management, Dandan has developed expertise in various technologies including containerization and distributed computing frameworks.
Work at LatentView Analytics
Dandan W. has been serving as a Department Manager at LatentView Analytics since 2019. In this role, Dandan oversees departmental operations and contributes to the company's analytics initiatives. LatentView Analytics specializes in providing data analytics and insights to help businesses optimize their operations and decision-making processes. Dandan's expertise in cloud platforms and data management plays a significant role in the company's projects.
Previous Experience at Matsco Solutions
Before joining LatentView Analytics, Dandan W. worked as a Data Research Analyst at Matsco Solutions from 2015 to 2017. This position was based in Fremont, CA, where Dandan focused on data analysis and research to support the company's objectives. The experience gained during this time contributed to Dandan's skills in data management and analytics.
Experience at McKinsey & Company
Dandan W. was employed at McKinsey & Company as a Database Management professional from 2017 to 2019 in Toronto, Ontario, Canada. This role involved managing databases and ensuring data integrity for various projects. The experience at McKinsey enhanced Dandan's understanding of data architectures and database types.
Education and Expertise
Dandan W. earned a Bachelor's degree in Computer Engineering from Nanjing University of Information Science and Technology, studying from 2004 to 2008. This educational background laid the foundation for Dandan's expertise in cloud platforms, distributed computing frameworks, and data management solutions. Dandan is proficient in technologies such as AWS, Azure, Docker, Kubernetes, and Jenkins.
Technical Skills and Knowledge
Dandan W. possesses a strong understanding of designing data architectures and is knowledgeable in various database types, including relational, NoSQL, and graph databases. Dandan is experienced in using containerization technologies and supporting analytics libraries. Additionally, Dandan has expertise in workflow and data management solutions such as Airflow, Kafka, and Glue, which are essential for modern data processing.