United States
I am an AWS Software Engineer with 10+ years of experience delivering enterprise applications and cloud-based solutions across manufacturing, healthcare, and finance industries. My expertise spans full-stack development using TypeScript, React, Node.js, and Python, with a strong focus on building scalable, maintainable, and business-driven software. I have successfully led projects involving API development, cloud modernization, data integration, and application performance optimization. Throughout my career, I have designed and deployed solutions on AWS using ECS, Lambda, Step Functions, CloudFormation, S3, CloudWatch, and CodePipeline. I have extensive experience building microservices, implementing CI/CD pipelines, and developing cloud-native architectures that support high-volume business operations. My background also includes Databricks, Apache Spark, SQL, PostgreSQL, MongoDB, and enterprise data analytics. I enjoy solving complex technical challenges, mentoring engineers, and collaborating with cross-functional teams to deliver impactful solutions. My goal is to leverage technology, cloud innovation, and data-driven insights to create measurable business value and drive continuous improvement.
As an AWS Software Engineer at Caterpillar, I lead the development of cloud-native applications that support manufacturing operations, production analytics, and enterprise reporting. I design and build React and TypeScript user interfaces, Node.js backend services, and scalable APIs that enable real-time visibility into operational metrics and business processes. Working closely with engineers, analysts, and business stakeholders, I translate complex requirements into practical and reliable technology solutions. I architect and maintain AWS-based solutions using ECS, Lambda, Step Functions, S3, CloudWatch, CloudFormation, and CodePipeline. I develop Databricks and PySpark data pipelines that process large volumes of manufacturing and sensor data, transforming raw information into actionable insights for business users. I also implement monitoring and observability solutions using Grafana and CloudWatch. In addition, I contribute to DevOps initiatives, performance optimization, automated testing, and infrastructure automation. By combining cloud technologies, analytics, and modern software engineering practices, I help improve operational efficiency, system reliability, and decision-making across the organization.
At Zoetis, I worked as an AWS Software Engineer responsible for developing cloud-based applications and analytics solutions supporting pharmaceutical manufacturing and healthcare operations. I collaborated with product managers, business stakeholders, and technical teams to build secure, scalable applications using React, TypeScript, Node.js, and Python while ensuring alignment with compliance and operational requirements. My responsibilities included designing REST APIs, implementing role-based access controls, and developing Databricks data pipelines for processing pharmaceutical production, quality assurance, and business datasets. I leveraged AWS services including Lambda, CloudWatch, S3, CloudFormation, and CodePipeline to build reliable cloud-native architectures and automated deployment workflows. I also created reporting and visualization solutions using Power BI and Grafana to improve business visibility. Additionally, I supported CI/CD automation, production monitoring, and infrastructure management while maintaining technical documentation and operational runbooks. My contributions helped improve application performance, streamline reporting processes, and provide scalable technology solutions that supported business growth and operational excellence.
As a Software Engineer at Sherwin-Williams, I developed enterprise applications and cloud-based solutions supporting manufacturing operations, production tracking, and business reporting. I worked on full-stack development initiatives using React, TypeScript, Node.js, Python, and SQL technologies to modernize operational processes and improve accessibility to critical business information. I designed and implemented data pipelines using PySpark, SQL, and AWS services to process production, inventory, and manufacturing datasets. I built RESTful APIs, developed event-driven workflows using AWS Step Functions, and created dashboards that enabled operational teams to monitor production performance in real time. My work also involved cloud infrastructure management through CloudFormation and CI/CD implementation using Jenkins and AWS CodePipeline. Beyond development, I participated in performance optimization, troubleshooting, and system monitoring initiatives. Through collaboration with manufacturing teams and business stakeholders, I delivered scalable technology solutions that improved operational efficiency, enhanced reporting capabilities, and supported ongoing digital transformation efforts.
Worked as a Software Engineer developing and supporting enterprise web applications using Python, Django, Flask, JavaScript, HTML, and CSS. Collaborated with cross-functional teams in an Agile environment to deliver scalable and reliable software solutions. Developed REST APIs, data processing scripts, and database-driven applications using MySQL and PostgreSQL. Automated reporting processes using Pandas and NumPy while contributing to application enhancements and bug fixes. Gained hands-on experience with AWS, Linux, Git, Jenkins, and CI/CD practices, building a strong foundation in software engineering, cloud technologies, and application development.