Senior Data Engineer | Rakuten Advertising, Tampa, FL 2017 to Present
Provided thought leadership, guidance, and review to senior leaders regarding business intelligence implementations. Led teams in design and development, creating proof of concept, reviewing code, testing applications, and deploying products across the enterprise.
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- Leading groups to provide high value products that elevate the business.
- Modeling and reporting on data through Oracle Business Intelligence (OBIEE), Domo and Looker.• Working closely with Analytics and Data Science teams to build quality high value products.
- Collecting and transforming data from disparate sources while coding in Python, Perl, Java or using tools such as Clover and Informatica. Extracting from databases as well as a variety of sources such as Google Analytics, Box, AWS, SalesForce, Hadoop, etc..
- Load and query and tune multiple storage platforms for in-depth analysis and data exploration.
- Development online micro-services and offline machine learning solutions leading edge products.
- Building unit and regression tests, creating alerts and writing SOPs and stewarding enterprise data governance.
Data Engineer | Rakuten Advertising, Tampa, FL 2013 to 2017
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- Designed dozens of ETL pipelines driving continuous improvement to processes, systems, work flow and customer responsiveness. In-depth documentation of warehouse landscape.
- Manage technical support operations, diligently troubleshooting issues to identify root causes and prevent recurrence.
- Build dashboards and scheduled reporting. Making updates to the data base and ETL processes to decrease latency and increase query performance.
- Working with a group in an agile environment. Sharing results, code and methodology.
Experience with
Modeling Tools - Domo, Oracle Business Intelligence EE, Google Looker
Data Technologies - BigQuery, Hive, Impala, MySQL, PostGres, OracleDB, Hadoop, OrientDB, Cloudera
Languages - PL/SQL, Python, and Unix Shell Scripting
CI/CD - GitHub, CircleCI, Docker
