Resume
Snapshot of experience and skills.
Experience
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Software Developer
- Contributed to developing scalable React applications integrated with Python and Java microservices on Amazon Web Services (Lambda, Elastic Container Service), improving operational tool performance and user experience.
- Designed and maintained back end application programming interfaces and serverless workflows using Amazon Web Services services, including API Gateway, DynamoDB, Amazon Aurora, and Amazon Simple Storage Service, ensuring high availability and low latency performance.
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- Oversaw database architecture and optimization across Structured Query Language and NoSQL systems, increasing query performance and supporting real-time data analytics for business-critical tools.
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Business Analyst
- Developed and deployed React applications with Python and Java back ends on Amazon Web Services (Lambda, Elastic Container Service, Amazon Simple Storage Service), streamlining internal tools for shift planning and workforce tracking.
- Restructured DynamoDB and Amazon Aurora schemas, enhancing data accessibility and reducing load times for key business intelligence dashboards.
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- Migrated legacy reporting systems to a serverless framework, lowering infrastructure overhead and improving long-term maintainability.
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Program Developer
- Developed custom data tools using Django and Python, enabling warehouse managers to track and identify backlogs and rectify impediments, improving workflow.
- Created interactive React dashboards for real-time operational metrics, enhancing data-driven decision-making across management teams.
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- Built serverless web applications with Amazon Web Services Lambda and API Gateway, streamlining reporting processes and reducing manual dependencies.
- Automated performance data extraction and reporting with Amazon Redshift and DynamoDB, improving the speed and accuracy of daily reports.
- Collaborated with warehouse operations to refine data analytics tools using Python and Amazon Web Services services, leading to quicker issue identification and resolution.
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Data Analyst
- Analyzed warehouse datasets using Structured Query Language and Amazon Redshift to identify inventory gaps, improving forecast accuracy and enabling better supply chain planning.
- Automated data aggregation workflows with Python, reducing manual reporting time and enhancing operational efficiency across multiple business units.
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- Developed audit-support dashboards for Sarbanes–Oxley Act compliance, streamlining documentation processes and ensuring control accuracy.
- Improved real-time inventory tracking accuracy by diagnosing inefficiencies in data input systems and enhancing data flow across platforms.
- Built Structured Query Language-based operational tools for fulfillment leads, ensuring faster identification and resolution of stock discrepancies while maintaining data integrity.
Skills
- Flask, FastAPI, Django
- React and Vue basics
- PostgreSQL, Redis
- Docker, Kubernetes basics
- Continuous integration and continuous delivery, GitHub Actions
- Testing and Quality Assurance