Jeffrey Negrete is a results-oriented Senior Software Engineer with over 12 years of experience in designing, developing, and deploying scalable software solutions. He possesses a strong background in full-stack development, with expertise in JavaScript frameworks (React, Node.js), Python, and cloud platforms like AWS and Azure. Jeffrey is passionate about leveraging technology to solve complex business problems and has a proven track record of leading cross-functional teams to deliver high-quality products on time. He is an advocate for agile methodologies, continuous integration/continuous deployment (CI/CD) practices, and writing clean, maintainable code. Jeffrey is always eager to learn new technologies and contribute to innovative projects.
Jeffrey Negrete's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully led a team of 5 engineers in the development and launch of 'Project Titan,' a customer relationship management (CRM) platform, resulting in a 25% increase in sales team efficiency within the first six months of deployment.
Key contributor to a company-wide cloud migration project, successfully migrating legacy applications to AWS, which reduced operational costs by 15% and improved system scalability.
Received an internal company award for developing a novel internal tool that automated complex data processing tasks, saving an estimated 200 man-hours per quarter.
Achieved AWS certification, demonstrating proficiency in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services.
Iowa State University
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Verisk (Nasdaq: VRSK) is a leading global data analytics and technology partner to the insurance industry. It provides predictive analytics and decision support solutions to customers in rating, underwriting, claims, catastrophe and weather risk, global risk analytics, and many other fields. Verisk empowers clients to make better, faster decisions by leveraging its deep domain expertise, advanced technology, and vast data sets.
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