It Professional / Manager Resume
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SUMMARY
- IT Professional / Manager / Executive with 22+ years of experience and 8+ years in in providing cutting - edge and top-level Data Management and Data governance strategies and policies.
- Track record of developing and managing streamlined, cost-efficient Data Management and teams from ground-up.
- Worked closely with senior management and key stakeholders, business units, partners, legal and compliance and clients.
- Developed Data Management Strategy and planning for large enterprise and implementation strategy.
- Experience in collaborating and influencing cross-functional teams including Business, Compliance and Legal.
- SME on Data Privacy regulatory compliance and good working knowledge with GDPR, SOX, Confidential 239, CCAR.
- Experienced SME on Metadata Management and Cognitive, Semantic Insights.
- Master Data Management - Authoritative Sources - Golden Source Copy, Certification and adoption process.
- Built effective Business Solutions, Data Management, and support technology teams
- Define and streamline Data Governance process and procedures to achieve efficiency.
- Specializes in Data Architecture, Meta-data Management, Modeling and Analytics.
AREAS OF EXPERTISE
- Strategic Planning
- Data Architecture
- Meta-data Management
- Master Data Management
- Process Optimization
- Organizational Leadership
- Data Classification
- Reference Data
- GDPR/ Confidential /CCAR
- Decision-making
- Team Leadership
- Information Security
- Enterprise Technology
- Regulatory Compliance
TECHNICAL SKILLS
Databases: SQL Server, DB2(Mainframe), Oracle, PostgreSQL, MySQL, Sybase ASE/IQ
Hadoop: MapReduce, Hive, HBase
Integration Tools: Informatica, SSIS, Sqoop
Data Visualization: Cognos, Business Objects, Power BI, Tableau, Qlikview
CRM: Sales Cloud, Service Cloud, Marketing Cloud, Workbench, Data Loader
Modeling: UML, ER Studio, ERWin, Visio, MEGA
Languages: C, Object Oriented (C++, MFC, C#, .NET, Java), Python
Tools: Workbench, Data Loader, Subversion, MS Great Plains, Rational Software Architect
Data Governance: Collibra, IBM InfoSphere
ERP: SAP
PROFESSIONAL EXPERIENCE
Confidential
IT Professional / ManagerResponsibilities:
- Design and build master source for Customer data; introduced process for data privacy and security.
- Define data migration strategy from legacy system to Salesforce and build policy and established process for data relevance and migration, Data Cleansing, Integration and Governance.
- Developed Data Governance strategy by introducing various processes to regulate and govern the data across the organization.
- Design process workflows for to model various data process including business glossary, data sharing/integration.
- Developed data stewardship program establishing metadata registry responsibilities and Building Business Glossary, Data Quality rules and establishing Data Lineage for Customer data in Collibra.
- Semantic modeling for designing assets for Business, data and technology and implement in Collibra.
- Vertical stitching to implement the data lineage from Business glossary to logical and physical modeling, including data classification.
Confidential
IT Professional / ManagerResponsibilities:
- Established Data Governance Framework and adoption process for Golden Source Certification.
- Designing Business Data Modeling for Customer Data in Collibra and identifying the Data Privacy.
- Vertical and Horizontal stitching strategy of Physical Data Elements to Semantic Modeling in Collibra and Ab Initio.
Confidential
DATA ARCHITECT
Responsibilities:
- Part of the Customer Management Data Team, working with business, other architects and developers.
- Design and implement the migration of an on-premise environment to Salesforce cloud for Customer data.
- Near Real-time/batch synch and triggers approach between client systems and Salesforce cloud.
- Developed and implemented workflow for Campaign/Lead; Opportunity and conversion to Customer.
- Architecture and design On Demand/Auto synch and integration of Campaign/Leads module with Acxiom ODS.
- Identifying the data to be integrated and synched with Acxiom and design to create source to target mapping.
- Developed initial object data model; Standards and process documents and playbook for best practices.
- Audit Logging across the Client and Marketing databases to meet risk and compliance standards.
- Developed and implemented process for Data Model Change Management for Client and marketing data.
- Client Identifier reference was designed and implemented for enterprise use to restrict exposure externally.
- Developed vertical Data Lineage from Business Glossary, Data Dictionary and physical data resources.
- Working with the Security and Compliance team to classify the data for securing customer data privacy.
- Identify patterns, design and develop strategy to prevent sensitive data in Free Form Text Fields.
- Enterprise level initiative to identify and fragment/prevent sensitive data in all the test environments.
