Hello!!
Thank you for taking a moment to learn a little more about me and taking an interest in the projects that I have been involved in. Please, let me know if you have any questions or comments regarding the information provided on this website.
I am a certified Google Cloud Professional Data Engineer and received my cloud certification on September 23, 2020 from Google. I am currently working on a Data Engineering/ Analytics Project that looks at the impact of Covid-19 on the NFL 2020 Season and analyzes the past 3 NFL Seasons. Through this project I have further developed my knowledge of Python and SQL languages as well as further developed my skills working with data warehouses, dataflows, and databases while keeping project costs low.
Head over to the Home page, to view current and completed projects.
A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A data engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A data engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models. The Professional Data Engineer exam assesses your ability to:
• Design data processing systems • Build and Operationalize Data Processing Systems • Operationalize Machine Learning Models • Ensure Solution Quality
This six-course accelerated Professional Certificate is designed for data professionals who are responsible for designing, building, analyzing, and optimizing big data solutions. Learners carried out serverless data analysis and productionize machine learning models. Learners integrated prior technical skills into practical skills for the job role of a Data Engineer.
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