Technical Program Manager, Data Management And Analytics Resume
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San Diego, CA
SUMMARY:
- Accomplished technologist with progressive years of professional experience in data architecture, management and enabling the analytics continuum. Innovative thought leader with strong organizational skills managing team of experienced developers and analysts.
- Synergistic team player recognized for effectively collaborating with business and technology partners, peers and leaders.
TECHNICAL SKILLS:
Relational Databases: Microsoft SQL, Sybase, MySQL, Netezza, DB2, Teradata, Oracle
Data Architecture: ER/Studio, Visio, ERWin
Integration Platforms: Informatica, Denodo, MS SQL Server Integration Services
Business Intelligence/Visualization: SAP BO/Crystal, Infoburst, Power BI, Tableau, Microstrategy
Big DATA: Hadoop, Pig, Hive, HBase, Cassandra, MapR, IBM BigInsights, Sqoop, Flume
Programming Languages: Java, Python, C/C++, Perl, Korn scripting
PROFESSIONAL EXPERIENCE:
Confidential,San Diego,CA
Technical Program Manager, Data Management and Analytics
Responsibilities:- Architected the enterprise data schema model for the customer master data management (MDM) repository. Created design patterns for ETL workflows, de - duping and surviving historical customer data from multiple legacy systems into the Profisee Maestro MDM platform. Designed the MuleSoft iPaaS workflows for ongoing customer data ingestion into MDM from the Salesforce CRM system and distribute to the subscribing transactional systems. This implementation is projected to eliminate the manual data entry need on the transaction systems and provide the logical pathway to enterprise data governance and effectively managing enterprise data asset.
- Evangelized the logical data warehouse concept with business and technology leadership and implemented the proof of concept using Denodo platform show casing bench marks to reduce analytics time to market from days to hours.
- Started gathering high-level requirements for the cloud based transactional data warehouse on Microsoft Azure. Proposed the integration of IoT wearable motion sensor data received from Work Comp insured workers in the workplace onto NoSQL data repositories thereby marrying transactional and behavioral data for predictive, discovery and risk management prescriptive analytics.
Confidential,Scottsdale,AZ
Data Architect Consultant
Responsibilities:- Architected the e-Claims schema data model for Specialty line of business for seamless integration with the Property and Causality line of business data in the enterprise data warehouse system
- Contributed ETL design patterns to the enterprise library for code consistency and manageability
- Architected and designed the profitability analysis sandbox linking the policy and claim administration operational systems using the Denodo Data virtualization platform on the AWS SaaS marketplace enabling the business with easy and quick access to descriptive analytics and KPI dashboards.
Confidential,Phoenix, AZ
Lead Data
Responsibilities:- Architect and manage vendor developers in migrating the Marketing DW from DB2 to Netezza which enabled the forklift-move to a higher capacity data center facility
- Architect the ingestion of additional data source to the SAS powered 150TB+ data lake providing business capabilities for predictive and discovery analytics
- As technical staff on the MapR Big data platform team coded Pig, Perl and Python scripts for loading data in the Hadoop Distributed File System (HDFS)
- Engineered the descriptive analytics platform for disputes management providing real-time operational BI as the ground work for future decision-making systems
- Acted as Informatica integration architect on migrating the Global New Accounts BI platform for data extract, transform and loading into the CX data-mart consolidating into 1 data repositories
- Championed 2 consecutive years in discovering innovative strategic ways in reducing infrastructure cost - effected 15% reduction against a targeted goal of 10%