Jiu Hong Mei
Senior Data Engineer/Consultant @ Public Service Organization
About
• Over 15 years’ experiences on Data Architect, Data Engineering, Business Intelligence with Microsoft Fabric,, Azure Data Factory, Azure Synapse, Azure Data Lake, Spark Pool, Azure Databricks, SSIS, SSAS, SSRS and PowerBI • Infrastructure-as-code and CI/CD with DevOps release pipeline deployment • Data Analytics & Visualization with Machine Learning, Python, PowerBI, Sharepoint, SSRS, Html • Experts on lakehouse, data warehouse, SQL program, SQL performance tuning • Strong software development background; familiar with C, C#, Python, Java, JavaScript, HTML5, jQuery, CSS • Microsoft Certified Azure Solutions Architect Expert • Microsoft Certified Azure Data Engineer Associate • Azure Databricks Specialist Certificate • Microsoft Certified BI Developer (MCITP for SQLServer 2008 BI), • Microsoft Certified System Engineer(MCSE 2003),
Canada
Vancouver
Information Technology & Services
Azure Synapse , Azure Data Lake, Azure Databricks, Azure DevOps, Business Intelligence, Microsoft Power BI, Azure Data Factory, ETL, Data Modeling, Requirements Analysis, Web Applications, Microsoft SQL Server, SSRS, SharePoint, C#, MCSE, Crystal Reports, XML, JavaScript, D3.js
Experience

Senior Data Engineer/Consultant
Public Service Organization
New Westminster, BC
Providing data engineering/data architect consulting service on Microsoft Azure Modern Data Warehouse architect/data engineering design, implementation, performance tuning, ETL/ELT data pipelines developing, Machine Learning Engineering, Data visualization; Working with Microsoft Fabric, Azure Synapse, Azure Data Lake, Azure Delta Lake, Azure Databricks, Azure Function, Azure Data Factory, Event-Hub, Azure Key vault, Azure SQL Server, Snowflake Implement Infrastructure-as-code with Terraform, CI/CD with DevOps Working as Sr. Data Engineer to help design the architecture of the Enterprise data warehouse, Azure Modern Data Warehouse and Azure data lake house, build ETL/ELT framework and standards, develop data engineering pipelines and automation test implementation for data quality with best practice, lead the design for on premise data warehouse migration to Azure data lake house. • Build Azure data lakehouse with Azure Synapse, Azure data lake storage, Databricks, Azure SQL/Azure SQL MI/Dedicated SQL Pool (Azure DW) or Serverless SQL Pool, Polybase, Spark pool. • Develop data engineering pipelines with Azure Data Factory/Azure Synapse pipelines, dataflows and notebooks, utilizing PySpark pool for big data processing and integrating different data (structured/non-structured) into the data lake/lake house • Design Analytics Service (Tabular Semantic Model) with Microsoft Fabric, PowerBI to help customers easily making self-analytics with visualization tools, build PowerBI semantic models and Fabric deployment pipelines to publish dashboards, reports and semantic model to different environment • Build infrastructure-as-code with terraform into the DevOps release pipeline to support the CI/CD deployment to different environment • Migrating the existing SSIS solution to Azure Synapse, re-platform by lift-shift the SSIS package with Azure-SSIS service, re-factor the SSIS package with notebook to improve the ETL performances

Sr. BI Architect
North Vancouver, Canada Area
Microsoft Business Intelligence Architect Microsoft Business Intelligence Consultant and developer(SSIS, SSAS, SSRS, PowerBI) SharePoint developer Qlikview Developer Web front-end developing with .Net, C#, XML,JavaScript,HTML,CSS, D3, TypeScript Windows Mobile application development Dassualt Enovia JPO developing for the integration with Crystal Report by java
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