Data & Analytics & Systems Expert
Architect, Develop, Deploy, Manage
SUMMARY
20+ years in Enterprise I.T. , Data Development & Data Warehousing, Big Data & Engineering.
Proficient in T-SQL, P-SQL, NoSQL, C#, Python, Ruby, Java, Perl, Node.js, .NET, Amazon AWS,
R.. Seeking a telecommute contract or permanent position in data and/or analytics development,
integration or support role.
Technologies and Disciplines:
Platform and language experience across most major platforms and languages.
SKILL MATRIX
Skill
SQL Server
TSQL
Hadoop
Mongodb
node.js
MDX
DTS
SSIS
ETL
Data Warehouse Architecture
Mobile Technology
Analytics
Media Research
Advertising Research
Software Design
EDI
Presentation Development
Public Speaking
Business Intelligence
Strategic Communications
Tactical Planning
Business Process Improvement
Process Engineering
Web Analytics
Web Design
IVR
Analysis Services
OLAP
OLTP
Years Exp
Since release
15
2
2
1
10
Since release
Since release
13
13
7
10
13
13
25
8
20
15
25
10
11
16
20
20
20
10
Since Release
Since Release
20
Expertise
Guru
Guru
Functional
Expert
Functional
Expert
Expert
Guru
Expert
Expert
Expert
Expert
Technical Expert
Technical Expert
Proficient
Intermediate
Expert
Proficient
Guru
Intermediate
Intermediate
Intermediate
Expert
Expert
Proficient
Proficient
Expert
Expert
Guru
Currently
Using
Yes
Yes
Yes
Yes
Occasionally
Occasionally
Yes
Occasionally
Yes
Yes
Yes
Yes
Infrequent
Infrequent
Yes
No
Yes
Occasionally
Yes
Occasionally
Occasionally
Yes
Yes
yes
Occasionally
Occasionally
Occasionally
Yes
Yes
Star Schema
Dimensional Modeling
Integrated Systems
Stored Procedures, Triggers, UDF's
Spline Reticulation
GUI development
UI Design & Conceptualization
Big Data
Ruby
EXPERIENCE
GFI Software
GFI Software
2012 - Present
Lead Data Systems Architect
Implemented reinvented and innovative approaches to business intelligence and analytics at
this software company. Replaced/revamped methods of delivering insights and measuring ROI
while reducing unmitigated risks associated with access and portability of data. Leveraging a
combination of Microsoft BI, SharePoint, and Salesforce, a fully automated, near real time BI
system was designed, developed and deployed allowing employees in multiple countries to
reliably and securely access company performance, scorecard, and KPI information. Created an
approach to improve the companies in-product collection of usage and telemetry data, by
writing a 'BIG DATA' based scale-able cloud based telemetry system capable of securely
collecting hundreds of thousands of data-points, extracting key information and insights with
the goal of assisting product development, support, marketing and sales in understanding
customer use of the products. Created an automated data mining system capable of performing
digital basket, customer cohort, churn and other essential analysis. Mentored the data and
reporting teams to excellence through training and coaching on many aspects of data
technologies.
Technologies:
Microsoft BI - MSAS, Tabular, SSIS, SharePoint BI Salesforce Google Analytics, AdWords JSON,
REST Ruby, Perl, Python MongoDb, Hadoop, Cassandra, ElasticSearch Amazon AWS, Microsoft
Azure, C#, Java
14
14
20
20
25
10
10
3
2
Expert
Expert
Proficient
Expert
Expert
Proficient
Proficient
Proficient
Intermediate
Yes
yes
Occasionally
Yes
Frazzenrah!
Occasionally
Occasionally
Yes
Yes
Loop Analytics
11 / 2009 - 03 / 2012
Chief Analytics Officer, Co-Founder, Platform Inventor
Designed, developed and deployed a patent-able market research capable mobile application
telemetry platform capable of collecting behavioral and attitudinal data from within mobile apps
on iPhone and Android. Worked with major consumer brands integrating this platform into
their consumer facing mobile applications. Consulted with brands on field collection strategies,
capturing consumer outdoor marketing engagement. Deployed cutting edge measurement and
insights solutions including a turn key in-application survey design targeting, delivery and
management application. Designed mobile loyalty applications, field collection tools and
engagement games for several consumer brands that leveraged location and application
behaviors to measurably increase consumer to brand engagement. Sold company in 2012 to
digital media research firm.
Technologies:
Microsoft SQL Server Java (Android) Objective-C (iPhone) Perl Python Location (GIS),
MongoDb, SSIS, SPSS, R
comScore Networks
2002 - 2009
Senior Data Application Engineer
Responsible for mission critical ETL and data engineering tasks in one of the largest commercial
data warehouses in existence. Created aggregation and insight reporting on digital behaviors of
nearly 1 million consumers in 250+ thousand households worldwide, for use in the companies
customer facing MediaMetrix, qSearch and AdEFX platforms. Designed and created custom
behavioral and attitudinal segmentation analysis. Constructed complex snowflake and star
schema data warehouse models.
Technologies:
Microsoft SQL Server, SSIS, DTS, MSAS, MDX
Accenture/Anderson Consulting.
01 / 2000 - 01 / 2002
Senior Data Warehousing Consultant
Data warehousing consultant, developer and strategist for global FP&A data warehouse project.
Heavy use of Microsoft OLAP/OLTP stack, TSQL, ETL, Proclarity, Brio
Digital Lightwave
01 / 1997 - 03 / 1999
Director of Information Technology
Turnkey management of the public companies internal IT systems including networking,
ERP/MRP, accounting, communications, and internet.
EDS/Xerox
1995 – 1996
Escalation Tier Support - WAN/SONET
Worked as high tier support for EDS on the Xerox contract supporting WAN/SONET networks.
EDUCATION
Florida Metropolitan University
BSCE , Computer Engineering
HONORS
2010 ARF Great Minds Awards - Innovation Gold Winner
ASSOCIATIONS
IGDA Leadership Forum, ION 2008 Speakers
PUBLICATIONS
AdEffx Action Lift for Gaming
comScore Authors: Edward Hunter, Jack Koch
http://news.microsoft.com/2009/11/12/massive-and-comscore-announce-breakthrough-ingame-advertising-research-methodology/
AdEffx
Action Lift for Gaming matches in-game console ad serving data with comScore’s thirdparty,
post-campaign panel data to track and measure in-game advertising effectiveness. By
combining non-personally identifying Anonymous ID data from the console with user data from
comScore’s panel of 2 million Internet users worldwide, comScore can determine if panelists
who saw in-game advertising subsequently visited a brand’s Web site, searched brand-related
terms, or engaged in other online behaviors important to advertisers. The methodology is
comparable to the ad tracking and measurement standards currently accepted for other forms of
digital advertising, and strictly maintains consumers’ anonymity in the process.