Overview & Summary
Over ** years’ experience as a hands-on technical architect. Implemented solution design, development, and administration using a wide variety of tools and technologies in multiple year-length projects. Familiar with all traditional data and BI tools as well as new cutting-edge big data solutions. Expertise in all phases of software development life cycle (continuous integration and continuous delivery). Excellent communication skills, team management and project management.
Technical Expertise
Technologies:
Cloud Solution (Microsoft Azure, AWS; GCP)
Relational Database (Oracle, SQL Server, Sybase IQ, Sybase ASE, MySQL)
Data Warehouse (Redshift, Teradata, Sybase IQ, Netezza)
Business Intelligence Solutions (Microsoft BI Stack, Cognos BI Solution, Talend, Tableau, Qlikview, Micro Strategy)
Big Data Solutions (Cloudera, Hortonworks, HDInsight, MapReduce, Spark, Sqoop, Kafka, Hive, Pig)
Container (AKS, Docker)
DevOps (Azure DevOps, JIRA, Jenkins, Ansible, VaGrant)
NoSQL DB (Mongo DB, Cassandra, HBase)
Others (Data Migration, Dash Boarding, Project Management, Master Data Service, Data Quality Service, Clustering, Replication, Database Mirroring)
Languages:
Powershell, C#.net, Java, Python, SQL, MDX, DAX, VB.net, ASP.NET 2.0, jQuery, VBScript, JavaScript, HTML, CSS, VBA, ADO.NET 2.0, XML
Experience
Cloud Solution Architect (Zero One, LLC) Mar.2018 – Present
Led multiple projects using USQL, Java, Python, Hive SQL, Spark SQL, Data Bricks
Strong T-SQL skills with experience in Azure SQL DW
Experience handling Structured and unstructured datasets
Assessment of Cloud Migration Services (Applications and Databases)
Migration Services (Architect/Application/Schema/Data)
Advanced data analytics – designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, stream analytics, machine learning, R server.
PoC projects with Machine Learning, AI, IoT, Advanced Analytics or Azure Data warehouse
Cloud Data/BI Architect/VP Jun. 2013 – Mar 2018
Goldman Sachs, Dallas, TX
POC on Cloud (Azure and GCP)
Led a data team to build end-to-end BI solutions from scratch
Using Python-Spark to implement data ingestion (Loan Collateral Tape)
Implemented Data Lake Project using Hadoop/Spark for Compliance Users (14m Reports/14Q Reports)
Using Kafka to re-design the system log analytics
Fully empower the business users and support Realty Management business lines.
Drove the projects of Loan Mortgage Analytics System
Re-designed Cash flow BI Project
Perform data analysis and develop visualizations via Tableau and other BI tools
BI Architect/Account Manager Oct. 2011 – May 2013
GNet Group, St. Paul, MN
BI Solution End-to-End design for multiple accounts
Work with BI Developers to deliver a compelling product that solves the critical business problems and timely delivery
Interact with customers on an ongoing basis to ensure adoption and approval of products
Prioritize a product backlog based upon business impact and effort; help make resource tradeoff decisions as needed.
Develop product vision and roadmaps, and assist in budgeting and the preparation of business cases
POC using vendors’ new technology stack
Data Architect May 2009 to Sep. 2011
StarCite Ltd., Shanghai, China
Managed the BI Reporting Team (8) for ETL Design (SSIS) and dashboards/reports creating (Cognos)
Database Architecture including HA/DR solutions, table design and performance tuning
Communicate complex topics to team through both written and oral communications
Managed the relationship with Sr. Management team in US
Reported to the local Director
Business Intelligence / Data Warehouse Architect May 2008 to May 2009
Hewlett-Packard Company, Shanghai, China
OVSD Project, Data Warehouse Architecture
OVSD is an HP world-wide internal system to log all supporting cases for IT and HR departments. The higher level managers would manually analysis some KPIs like how many cases one support engineer handles, How long one engineer to solve one case averagely…then the cost per engineer…something like that before. OVSD EDW system is to load data from the source DB to EDW then present the reporting system and create all KPI(s) to internal users.
Environment: Oracle 9i, SSIS, SSAS, SSRS
Responsibilities:
Solution Architect
DB/EDW tables Design
SSAS Cube implementation
ETL Deigning and Implementation
Reporting Design
Principal DBA December 2006 to May 2008
Hewlett-Packard Company, Shanghai, China
Managed the team to fulfil the 24*7 database (SQL Server; Oracle, DB2) management support
Designed high available solution using Symantec Clustering (S2S Project—Site to Site)
DB Architect for Web Service Application Team (wsR, wsC, wsR projects)
ETL Design to all data movement and transformation
Led the data servicer hub design (1.5 years project) for all application teams
Education
MS (Master of Science): Computer Science, Shanghai Maritime University
oMachine Learning (Facial Recognition and Gesture Recognition)
BS (Bachelor of Science): Computer Science, Shanghai Maritime University
Certifications
Azure Data Engineer Associate
MCSA with Power BI
Project Management Professional
Microsoft Certified Solutions Expert (MCSE)—BI Platform
Microsoft Certified Solutions Expert (MCSE)— Data Platform