PROFILE:

Senior information specialist with over twenty - five years of experiences in multiple industries focused on contributing to research, development, management and data technology based roles; architecting/developing full solutions from end to end, decreasing overhead, integrating, automating, innovating, establishing order, stability and perfecting business intelligence and data infrastructure in both large and small data, cloud and data center implementations.

PROFESSIONAL EXPERIENCE:

Confidential, Seattle, WA

AWS SME / Lead - E-Commerce

Responsibilities:

Lead a team to design an ongoing AWS Big Data infrastructure. Implemented and released an AWS Data-lake, secured it, started data import, created an EMR cluster for access of HQL objects and created a lambda processor to auto partition and maintain hive tables. Planned and designed a future Machine Learning component to be constructed and implemented in a later iteration also using AWS technologies. Designed and presented sample consumer case models for personalization and sales targeting in the future; utilizing the new platform.

Confidential, Seattle, WA

Lead Data Specialist

• Tasked with individually installing, setting up a full shadow environment of all tools necessary, vetting and documenting findings on proof of concepts before final architecture of a design. Once the design completed and was vetted which includes marketing tools, all now inspected and effectively placed, {NodeJS, PHP, Bluekai, Segment, AppBoy, RNT, Adobe Test & Target, Amazon RDS Databases, PostgresSQL} setting up the data platforms on Amazon and writing scripts needed to do JSON manipulation and then core DataMart schema scripts before handing the project to an internal development team for the regular development actions connecting all the pieces towards a SAFE AGILE release.
• Working with a major hospitality organization performing any and all tasks related to any data system historical products; including but not limited to, SAP, Oracle, DB2, PostgreSQL, MySQL, Tech7, SqlServer, Hive, Hadoop, ETL; using Talend, BASH, SQL, Python, AWS, Perl and Java as needed, Includes development of production code for a multi-billion dollar product, master data management, management of systems, administration, installation, testing, hardening, resource configuration, pretty much any aspect of any role in information including data science tasks regarding reporting and analysis in multiple reporting services such as Jasper, Qlikview or Spotfire is required for this position. The role specifically requires advanced skills in a wide range of technologies and is very senior as the project is limited in scope supporting a multi-product conversion to a single tool in a short amount of time. Agile(SAFe)-Jira-Confluence-SVN-GIT

Confidential Bellevue, WA

Big Data Architect

Coding stack is based around PYTHON, JSON, JYTHON, BASH, SQL, C, Data Modeling etc..Target areas were in HIVE, Oracle, PostgreSQL, Excel, Tableau, AWS Stack. Standard Jira, Confluence, sprint management, two week agile groups with GIT & Jenkins source control and test frameworks. AWS STACK: Creating/administering/developing/managing - datapipelines, cloudwatch, s3 repositories, (ec2 hive, newsfeed and python instances), DynamoDB, EMR, Kinesis, Lambda functions, SNS creation and triggering, Identity access management, code deploy, code pipeline, code commit, RDS, REDSHIFT, elasticache

Confidential, Alpharetta, GA

Consultant Director

As part of the Information Technology group; worked in environments that were both WATERFALL & AGILE. Documented unwritten SqlServer & Oracle Data Modeling projects (OLAP & OLTP). Investigated RDBMS matches against new expected platforms. Reviewed and made recommendations against the ETL strategy to future technology selections. Created Master Data Management strategies for merging similar global scale applications into one. Inspected Data Virtualization offerings such as Denodo/Cisco when needed. Evaluated the Unix/Linux & MS Windows implementations of databases for management strategies. Documented and reviewed the overall Data Architecture. Reverse engineered unwritten Dimensional Models of multiple products. Audited SSIS for security/consistency/accuracy/need. Established guidelines for usage of SQL Server Reporting Services to a variety of teams. Trained business intelligence teams in basic statistical analysis. Provided leadership guidelines to information groups

Confidential, Venice, CA

Consultant Director of Data Science & Architecture

Managed and created OLTP (Postgresql) / OLAP (SqlServer) modeling, optimization, integration and planning. Educated and created automated ETL solutions between platforms including Oracle. Established a Data Virtualization method. Developed Master Data Management concepts. Deployed/Managed servers in MS Windows, Unix/Linux, Solaris and Mac OS. Utilized ZFS for replication and distribution. Lead the team in Data Research. Developed Tableau, Excel, and other reporting facilities. Set data administration policies, access, storage, retention, backup and recovery policies. Lead the team to create database warehousing and business intelligence facilities. Set rules on data governance, lifecycle, meta management, compliance, privacy and security. Implement data quality management rules for conversions, analysis, monitoring, alerting and error control. Implement value chain analysis, enterprise data modeling, business rules, data dictionaries and employee data integration. Implementing unstructured data facilities Hortonworks (HDP) Hadoop, Yarn, PIG, SOLR, Falcon, DARE, SQOOP, ATLAS, Apache. Set rules on advanced data science, publications, findings, research, practices, and general employee access controls. Educated and automated Statistical Analysis, Machine Learning, Predictive Analysis, Exploratory Data Analysis, Image Processing via Python/Pandas, Data Mining, Data Extraction and Data Modeling. Conducted and managed reverse engineering, creation and improvement of financial and marketing analytics. Obtained and managed social science research via google analytics, Clicky, adobe analytics and Woopra in support of targeted marketing and mailings in Strongmail. Conducted code reviews of Ruby scripts for the application. Managed multiple types of Amazon Web Services (AWS) in support of the business. Platformed the SAS offering for marketing. Other secondary tools a {PgBouncer, PgPool, SSIS, SSRS, PGAgent, PPAS, PEM, BART, PgBadger, bash, KSH, Python, R, Dataiku (DSS), SPSS, more..

Confidential, Kirkland, WA

Global Director

Developed, educated, enforced and imprinted automation through-out the organization. Utilized advanced knowledge of technologies, database modeling tools, user interactions and predictive analytics to maximize user experience as well as business performance. Established and developed database technologies (Oracle, SqlServer, MySql, Postgresql, MongoDB) for collection (ETL and OLTP), warehousing (OLAP), statistics and analysis. Architected and developed PHP and JAVA applications for mobile device management and device usage collection, automated release tools, CRM, HR support and financial auditing globally. Evaluated system specifications, requirements, designed presentations, planed direction and implemented the most efficient and cost-effective packages or solutions for analytics engines. Architected, created, provided and discovered data research and machine learning opportunities, as well as predictive analysis short paths for the Neural Storm. Managed AWS data and application development, master data management, tuning and reusable analytic modules (plugins for external sites). Provided Spotfire dashboards, development, management and control facilities for analysis services globally. Trained and mentored teams in design and architecture, project scope, technical management and analytics in business tools. Lead the US team of scientists in Agile project management, direction, design, testing and security. Implemented unstructured data facilities Hortonworks (HDP) Hadoop, R, Yarn, PIG, SOLR, SQOOP, ATLAS, Apache. Other secondary tools a {Erwin, Aqua Data Studio, PgBouncer, PgPool, SSIS, SSRS, PGAgent, PPAS, PEM, PgBadger, bash, KSH, Python/Matplotlib/NumPy/Pandas, SPSS, more.. }. Utilized census, psychology, social science research, spending patterns, mobile device characteristics, usage and general device intention for creation of adaptive gamification plugins on customer sites such as Sprint, AT&T, T-Mobile, Verizon and UK/UAE Telecoms.

Confidential

Historical Positions (banking, healthcare, insurance, legal, geo-position data, device monitoring)

Conceiving, implementing, executing full data governance, master data management, virtualizations, integrations and data structured projects. Educated, coached and supported local and international teams of developers and management groups. Testing, investigation and general support of the quality assurance process. Various data science and algorithm expectations. Automation creation and enforcement, machine learning, skill enhancement and cost reduction cycling. Setting best practices implementing demos, pilots, CBA's and proof of concepts. Managed, implemented and performed large scale cloud deployments and Big Data projects.