★ ★ ★ CAREER SUMMARY ★ ★ ★ » Strategic, proactive data design and development professional with more than 15 years of experience driving Data Engineering in corporate environments. » Exceptional hands-on Staff Data Engineer with extensive experience in architecting OLAP data models and cloud data platforms.» 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.» Manager of the Apache Airflow group on LinkedIn: https://www.linkedin.com/groups/7037800» Member of DAMA - the Data Management Community (www.dama.org)★ ★ ★ TECHNICAL SKILLS SUMMARY ★ ★ ★» Data Warehouse Design: using Kimball and/or Inmon approaches. » ETL / ELT Development: via coding, (Python / Apache Airflow) or GUI tools, (Azure Data Factory, Informatica)» Cloud-based Development: Spark / DataBricks, AWS, S3, Azure, Terraform, Redshift, Snowflake.» BI Development: Tableau, BO, Cognos.» MDM Development: Oracle UCM, Microsoft MDS.» Databases: Snowflake, Redshift, Vertica, Oracle, SQL Server, MySQL, Postgres, Netezza, Teradata.» Scripting Languages: Bash shell scripts, Python, Perl, PL/SQL, T-SQL.» Programming Languages: Python, Java, C#, C++. » Methodologies: Agile (Certified Scrum Master), Waterfall.★ ★ ★ CAREER ACCOMPLISHMENTS ★ ★ ★» Designed and built greenfield Airflow environment, including key python libraries, Airflow operators, and unit tests, and documenting design patterns and coding standards. » Designed and implemented mission-critical dimensional data models containing high visibility metrics. » Converted in-house Data Warehouse load processes to the AWS cloud via Python / Apache Airflow / Redshift.» Fundamentally redesigned core ETL of enterprise financial data warehouse to conform to design / coding standards and simplify future maintenance.» Established platform standards for design, development, deployment, administration, governance and training when introducing Master Data Management (MDM) technology into the enterprise domain.
Listed skills include Data Warehousing, Sql, Etl, Agile Methodologies, and 42 others.