Michael Keene
@michaelkeene
Software Engineer with a passion for data analysis and cloud computing.
What I'm looking for
As a seasoned software engineer with a strong background in cloud computing, data analysis, and machine learning, I leverage my expertise to drive innovation and efficiency in fast-paced environments. With a proven track record of architecting and implementing scalable solutions, I excel in collaborative settings and thrive in Agile workflows.
My experience at Amazon has equipped me with valuable skills in distributed systems, continuous integration/continuous deployment, and automated testing. I'm well-versed in a range of programming languages, including Python, Java, Scala, and JavaScript, and have a strong understanding of AWS cloud computing services.
With a passion for data analysis and machine learning, I've successfully applied my knowledge to enhance decision-making processes and drive business growth. I'm excited to bring my skills and expertise to a new challenge and contribute to a team that shares my passion for innovation and excellence.
Experience
Work history, roles, and key accomplishments
Software Engineer
Amazon Web Services
Feb 2022 - Mar 2023 (1 year 1 month)
Worked on multiple new and existing features within the backend web service that enables the customer service team to access AWS account metadata for troubleshooting.
Software Engineering Candidate
Amazon
May 2020 - Feb 2022 (1 year 9 months)
Graduated from a company-sponsored, mentored internal training program led by Amazon Software Engineers, designed to teach software engineering skills and computer science fundamentals in a project-based environment.
Business Analyst
Amazon Logistics
May 2018 - May 2020 (1 year 11 months)
Automated report generation and data visualization for business partners by processing and cleaning large-scale data from Redshift using SQL, Python, Excel, and workflow orchestration tools.
Education
Degrees, certifications, and relevant coursework
Michael hasn't added their education
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Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
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