Brenda C.

Data Architect at One Rockwell

Brenda C. has over 20 years of professional work experience. Brenda began their career in 1998 as a QA Engineer at IONA Technologies. In 2000, they became a Consultant Software Engineer at Sapient. In 2002, they were a Software Engineer at Travelocity. From 2008 to 2011, they worked as an IT Support/Customer Support/Testing/QA Engineer at Sales Graphics, and as a Consultant - Technical Project Manager, Software Engineer, Production Coordination at Bridgeline, One Rockwell, Lincoln Center, and many others. In 2017, they joined L'Oréal as a Sr. Manager (Technology & Solution Architect), and was responsible for Data, Analytics, Tagging, AdTech, Dashboarding, Cookie Management, Tag Management, Tag Governance, Site Speed, SEO, Performance Governance, Accessibility, Training, and Site Excellence. Brenda also held the roles of Manager of Performance Analytics and L'Oreal Consultant. In 2022, they began working as a Sr. Data Engineer at One Rockwell, where they work with senior management to define business requirements for client dashboards, creates technical and business documentation, and designs, builds, implements, and maintains ELT processes.

Brenda C. holds an MSc. in Software Engineering from Maynooth University and a BSc. in Applied Sciences with a major in Mathematics and Computer Science from Technological University Dublin. Brenda has also obtained various certifications, such as a Certified ScrumMaster (CSM) and Scrum Product Owner Certified (SPOC) from the Scrum Alliance in February 2022, a Google Analytics Individual Qualification from Google in May 2018, and a How to Rock an Interview certificate from LinkedIn in October 2022. Additionally, they have obtained various course certificates from Coursera, such as Developing Data Products in January 2016, Practical Machine Learning in January 2016, Demandware Developer Certificate in November 2015, Regression Models in October 2015, Statistical Inference in June 2015, Reproducible Research in May 2015, Exploratory Data Analysis in March 2015, Getting and Cleaning Data in March 2015, and R Programming in February 2015.

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