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Datawarehouse Architect Resume

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PROFESSIONAL EXPERIENCE

Datawarehouse Architect

Confidential

Responsibilities:

  • Architected enterprise near real time Confidential warehouse to include Confidential modeling, Confidential flow and documentation
  • Development of database release management tools to include deployment script generation, schema compare, and delta script generation
  • Stored procedure development
  • Development of Confidential Comparison tool using Java for enterprise level Confidential comparisons
  • Development of dev loads to facilitate rapid report prototyping from messaging and DB sources using various languages

Technology Stack: ER Studio, SQL Server, Snowflake, SQL/PLSQL, Java, JavaScript, Rabbit, Kafka, PowerShell, Talend, VBA

Senior Database Developer

Confidential

Responsibilities:

  • Talend map development
  • Process improvement for efficiency and report accuracy
  • Stored procedure development
  • Confidential modeling
  • Confidential load automation
  • PowerShell scripting
  • Development of reporting and dashboards using Tableau

Technology Stack: Netezza, Talend, SQL/PLSQL, Tableau, PowerShell, VBA, Oracle

Software Engineer

Confidential

Responsibilities:

  • Development of reporting and dashboards using Tableau and SSRS with an emphasis on report performance.
  • Stored procedure development and Confidential modeling for reporting and operational systems.
  • Build and maintain Confidential warehouse
  • Working directly with clients for report development and validation purposes via various communication channels.
  • SSIS package development
  • Documentation of report specifications
  • Numerical integration of Normal CDF for reporting in SQL Server.
  • Confidential load automation

Technology Stack: SQL Server, SQL/TSQL, SSRS, Tableau

Database Analyst

Confidential

Responsibilities:

  • Development of reporting utilizing Tableau.
  • Development of reporting solutions including gather business requirements, Confidential modeling, procedure development, QA testing, and dashboard design and implementation.
  • Ad - hoc analysis to analyze trends and look for statistical significance.
  • Rewrote inefficient SQL/PLSQL for clarity and speed.
  • Implementation of Tortoise repository for scripts, procedures, and DDLs.
  • Generating routine reporting.

Technology Stack: Oracle, Teradata, Tableau

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