Davis Wei
Verified Expert in Engineering
BI and Database Developer
Montreal, QC, Canada
Toptal member since February 24, 2021
Davis is a seasoned engineer with a decade of experience in data engineering and analysis. He had led several data projects involving the transformation of on-premises databases to cloud-based data lakes using AWS and Azure. He has a wealth of experience designing and developing data visualizations to present complex data models to stakeholders at all levels. He holds an MBA and has experience with data mining and machine learning.
Portfolio
Experience
- SQL - 10 years
- Data Visualization - 10 years
- Data Analysis - 7 years
- Tableau - 6 years
- Microsoft Power BI - 5 years
- Redshift - 5 years
- Amazon QuickSight - 2 years
Availability
Preferred Environment
Tableau, Amazon QuickSight, Amazon Web Services (AWS), Azure, Azure SQL Databases, Business Intelligence (BI), Data Analysis, Dashboards, Fabric, Microsoft Power BI
The most amazing...
...thing I've experienced is building analytics teams from scratch at multiple tech companies, fostering collaboration and aligning with business goals.
Work Experience
Chief Data Officer
Gyfthint
- Architected and implemented the data lake and business intelligence platform for clients. Scoped requirements with clients to provide end-to-end solutions to clients.
- Provided systematic training to clients on AWS, Tableau, Power BI, and data analysis-related tools.
- Launched a few milestones for clients to improve the operational and data analytics works.
Business Intelligence Manager
Amazon.com
- Architected and implemented a data lake and BI using native AWS services for the Amazon Pharmacy project.
- Led the data ingestion and developed KPIs and dashboards for Amazon to track COVID-19 tests among global employees.
- Launched Amazon Prime Video One Catalog, allowing US and EU customers to view multiple subtitles and choose audio tracks in different languages within a single video.
- Supported Amazon Prime Video's worldwide content operation team by providing insightful analyses to improve digital supply chain efficiency.
Senior Business Intelligence Engineer
Morgan Stanley
- Spearheaded multiple business intelligence initiatives in collaboration with key internal stakeholders, including equity trading, fixed income, and legal and compliance, to support critical business and strategic decisions.
- Improved data lake and BI platform operational models by analyzing and summarizing information on gaps, trends, and areas of concern using data visualization and statistical models.
- Translated complex technical jargon in simple language for business users and reiterated business requirements for technology teams. Provided regular training to users on analytical tools, trading flows, and business models.
Experience
Amazon.com
http://www.primevideo.comTableau Server Migration for a Non-profit Organization
Architect Tableau Platform for a Nonprofit Organization
Education
Master's Degree in Business Administration (MBA)
Carnegie Mellon University - Pittsburgh, Pennsylvania, USA
Certifications
Graduate Certificate in Data Mining and Machine Learning
Stanford University
Skills
Libraries/APIs
Fabric
Tools
Tableau, Amazon Athena, MySQL Workbench, Amazon QuickSight, Microsoft Power BI, GitHub, Amazon SageMaker, Amazon Redshift Spectrum, AWS Glue, Looker, Tableau Desktop Pro
Languages
SQL, SQL DML, T-SQL (Transact-SQL), Python
Paradigms
Business Intelligence (BI), ETL, Dimensional Modeling
Platforms
QlikView, Amazon Web Services (AWS), Azure
Storage
IBM Db2, Redshift, Microsoft SQL Server, SQL Performance, MySQL, Azure SQL Databases, Azure Cosmos DB, Azure SQL, Data Lakes, Amazon S3 (AWS S3), PostgreSQL, SQL Architecture
Other
SAP Business One, Data Visualization, Analytics, Data Analytics, Dashboards, Data Queries, Performance Tuning, User Experience (UX), SAP, Data Analysis, Data Science, Statistics, User Interface (UI), Machine Learning, Strategy, Business Technology, Tableau Server, APIs, Web UI, User Authentication, Data Build Tool (dbt)
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