Data Analytics Developer

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ed a team to successfully implement NetSuite in under four months, demonstrating strong leadership and project management skills. Utilized Python and SQL for data integration and migration, ensuring a smooth transition.

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Developed and implemented automated logistics plans for eleven biorefineries using R Shiny, resulting in significant time and cost savings (over 1,000 man-hours per year). Demonstrates strong analytical and problem-solving skills with a focus on data-driven decision making and process improvement.

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Automated data ETL processes using Python and SQL, and orchestrated workflows with Prefect, demonstrating proficiency in data engineering and a focus on efficiency and automation

About Data Analytics Developer

This individual is a highly skilled data professional with a strong background in data analysis, integration, and engineering. They have a proven track record of success in implementing and optimizing data-driven solutions across various industries, including logistics, finance, and technology

Skills

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Data Integration & Engineering

Experience in ETL processes, Python for data extraction and integration, SQL for database management, and workflow orchestration with Prefect.
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Data Analysis & Visualization

Has strong analytical skills with experience in data analysis, interpretation, and visualization using tools like R, R Shiny, and Flexdashboard.
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Project Management & Leadership

Had a successful NetSuite implementation demonstrates leadership, project management, and the ability to mentor and guide teams