Senior Software Engineer specializing in backend architectures, with a professional technology in Python, Java, Spring Boot, Node.JS and Django. Proved expertise in utilizing leading frameworks and cloud platforms to optimize system performance and extensibility.
Although basically backend-focused, take a praiseworthy comprehension of frontend technology, vouching smooth end-to-end system integration
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- Developed and maintained key Java-based services using Java and Golang, handling 300K+ requests per day with a 99.95% uptime
- Integrated the AWS Lambda and DynamoDB to create the extensible and serverless backend processes, reducing the overhead costs by 10%.
- By collaborating with the DevOps team closely in setting up the CI/CD pipelines using Jenkins and Docker, led to 30% faster deployments.
- Took the led the migration of important applications to Kubernetes, reducing in 15% cost savings and 20% performance improvement.
- Developed and maintained the complex data models to support business intelligence and reporting needs for a company with over $20M in annual revenue.
- Collaborated closely with the frontend team to develop a smoothly API interface, improving user experience and system efficiency.
- Deploy the product using AWS, AWS Amplify, ES2
Led a team of 5 backend developers in building and optimizing a set of microservices using Python/Django, Go/Gin and Node/Express.
- As a senior software engineer at Connsci, I specialize in backend system development with a primary focus on Python and Java technologies. My role involves collaborating with multi-functional teams to design, implement, and maintain robust software solutions for Walgreens, a leading retail pharmacy chain.
- Led the backend systems development, ensuring high performance, scalability, and stability of important applications.
- Collaborated with teammates to design and implement software solutions that satesify Walgreens’ business requirements.
- Implemented the comprehensive testing of Lambda functions using AWS Lambda console and AWS SAM to keep the technology, performance, and stability.
Led the design and implementation of extensible back-end systems at project, with a focus on performance optimization and system stability.
Proved proficiency in data modeling and effectively managed distributed data stores.
Utilized GCP’s services such as BigQuery, Cloud SQL, and Cloud Spanner to design and deploy the high available and resilient data storage solutions.
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