Badges
Certifications
Work Experience
Data Engineer Manager
AIA VietNam•  October 2014 - October 2022
- Build the process to acquire discrete data sets and store them in the data platform for further processing. The data capture can be real-time or batch. - Build the data analytics platform which will enable analysts, data engineers, and scientists to examine large and different types of data to uncover hidden patterns, correlations, and valuable, actionable business insights to improve strategic business KPIs - Building the enterprise business intelligence platform that will combine technologies, applications, and practices for collecting, integrating, analyzing, and presenting business information. The purpose is to support better business decision-making. - Build the ODS, which is composed of the Raw layer, which holds the source system replica in its native data model, and the standardized data model in the Curated layer, which is customer-centric and source system agnostic - Build the EDW, which contains enterprise-wide metrics by unifying various data sources and historical transactions to support numerical analysis, reporting, and data mining. - Manage the overall flow of data moving in different directions and schedules and other operational factors like application performance, availability, and underlying security. - Prepare data for ML models; ad-hoc data requests of stakeholders. - Design, maintain reporting, and model impact tracking dashboard - Technical: Azure Factory, Azure DataBricks, Data Lake, Azure Synapse, SSAS, Qlik replicate, Kafka, Azure Event Hub, Power BI.
Education
vietanhnguyen1 has not updated education details yet.
Links
Skills
vietanhnguyen1 has not updated skills details yet.