Data Analytics Developer
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.
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.
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
Data Integration & Engineering
Experience in ETL processes, Python for data extraction and integration, SQL for database management, and workflow orchestration with Prefect.
Data Analysis & Visualization
Has strong analytical skills with experience in data analysis, interpretation, and visualization using tools like R, R Shiny, and Flexdashboard.
Project Management & Leadership
Had a successful NetSuite implementation demonstrates leadership, project management, and the ability to mentor and guide teams