★ ★ ★ CAREER SUMMARY ★ ★ ★ » Strategic, proactive data design and development professional with more than 15 years of experience driving Data Modeling and Data Warehousing in corporate environments. » Exceptional hands-on Senior Data Engineer with extensive experience in architecting OLAP data models and the ETL systems used to populate them. » Extensive experience with defining product requirements and detailed test plans to ensure quality and timely deliverables from diverse teams. » Excel in building partnerships and delivering projects that accelerate revenue growth and expand market reach. » Recognized as a key subject matter expert for data model and ETL design, build and testing initiatives. ★ ★ ★ TECHNICAL SKILLS SUMMARY ★ ★ ★ » Data Warehouse Design: using Kimball and/or Inmon approaches. » ETL Development: via scripts or ETL tools, especially Informatica. » BI Development: Business Objects, Cognos. » MDM Development: Oracle Universal Customer Master, Microsoft Master Data Services. » Databases: Oracle, SQL Server, Vertica, Amazon Redshift, MySQL, Postgres, Netezza, Teradata. » Scripting Languages: Bash shell scripts, Perl, PL/SQL, T-SQL, Python. » Programming Languages: Java, C#, C++, VB. » Methodologies: Agile (Certified Scrum Master), Waterfall. ★ ★ ★ CAREER ACCOMPLISHMENTS ★ ★ ★ » Designed and implemented mission-critical dimensional data models containing high visibility metrics. » Fundamentally redesigned core ETL of Enterprise Financial Data Warehouse to conform to design / coding standards and simplify future maintenance. » Successfully caught up on a significant backlog by working on highest priority items to reduce items systematically using Agile Scrum methodology. » Established platform standards for design, development, deployment, administration, governance and training when introducing Master Data Management (MDM) technology into the Enterprise domain.

Chris Charles is skilled in: Data Warehousing, ETL, Oracle, Data Modeling, Big Data, Hadoop, HBase, PL/SQL, Agile Methodologies, SQL, Database Design, Databases, Informatica, Amazon Web Services (AWS), Data Integration