1.  Built and support online media budgeting,planning and tracking systemfor online media
team, integrate data from different channeland provide stream line data for client reporting
and media analytic.
 Primary IT liaison for all clients to evaluate the campaign KPI and architect the campaign
data structure to make sure all metrics are captured and reported accurately.
 Meet with client to understand client KPI for each client media campaign and ensure all data
points necessary for campaign reporting can be captured, communicate with client data/IT
team to make sure all data transfers are setup correctly. Provide estimate if the project
requires any special 3rd utility.
 Building client landing pages and perform real time client data delivery. Implement 3rd party
tools and vendortracking on web pages for media optimization.
 Manage virtual machine and virtual web hosting (LAMP) in various cloud Linux environment
including Rackspace, Godaddy, Windows Azure and Amazon Cloud for web sites,web
applications and landing pages hosting.Perform hosting environment monitoring and
optimization, web server and database administration and automating MySQL data replication
between hosting environment and internal data server.
 Data and platform integration with media provider, 3rd party media management and client
CRM platform through API, including Google AdWords,Double Click, Sizmek
(MediaMind), Marin, Prisma, Media Ocean, Salesforce, Velocity(Leads360), Marchex, Ring
Revenue(Invoca), etc.
 Data integration with client environment through any programmable channel which the client
can support,including client report, systemextract, web log, API, DB backup, etc.
 Built automated ETL (EMTL - Extract Manipulate Transform Load) environment to handle
all data integration and exchange. This customdesigned systemutilizes MS Office, Linux
shell script, PHP script, PowerShell Command line, .NET application coding, DB Stored
Procedure and a Batch scheduling systemto form a unique execution platform, it provides all
levels of process scheduling,monitoring and error detection.
 Build data cube,data view and HiveQL with analytic team for media allocation, media
attribution and web traffic analysis.
 Configuring and launching Hadoop in Windows Azure for web serving log level data
analytic.
 Working with infrastructure team on software/hardware configuration/monitoring.