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Vp-senior Data Architect Resume

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SUMMARY:

  • Managed Data Warehouse/Data Lake migration to AWS Cloud. Extensive IT background and hands - on contribution to Enterprise architecture and business process re-engineering. Team player, skilled in business and information systems analysis, global product development, and time-to-market deployments aligned to meet key business objectives. Architected complex OLTP, OLAP systems and managed Enterprise Data Warehouses. Managed full lifecycle, large scale engagements using SDLC and Agile methodologies. Proven record of success in architecting and implementing strategic technology roadmaps, delivering multiple projects simultaneously on-time within budget in a dynamic environment.
  • Relational, Dimensional, Data Vault 2.0 Modelling, Data Lake
  • AWS Big Data, Hadoop and Big Data
  • Enterprise Data Architecture
  • R Programming
  • Data Warehousing / Data Appliance Technologies
  • Data Governance
  • Ethereum Blockchain Development
  • Metadata Management

TECHNICAL SKILLS:

Programming: R-Programming, Solidity, Python, SQL, T-SQL

Databases: RedShift, DynamoDB, Teradata, Microsoft SQL Server, DB2 for LUW, ORACLE Exadata

Tools: Erwin 9.5, Collibra DGC 4.5, IBM Infosphere Information Analyzer, Data Discovery and Business Glossary, INFORMATICA

PROFESSIONAL EXPERIENCE:

Confidential

VP-Senior Data Architect

Responsibilities:

  • Ensured high data quality and source to target data lineage, helping to provide mandatory compliance and regulatory reports on time.
  • Developed enterprise business glossary and data using Collibra DGC, creating single source of business-approved definitions and associated physical data assets.

Confidential, New York, NY

Vice President - Legal & Compliance IT

Responsibilities:

  • Developed project on time and within budget by managing project as a collaborative effort leveraging individual strengths of team members.
  • Implemented on-site and off-shore development models, enhancing operational efficiencies and productivity, managing client expectations and vendor relationships.

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