Experienced Software Developer with a passion for solving complex challenges, optimizing system performance, and delivering scalable, robust solutions. Over the years, I have honed my skills in full-stack development, becoming proficient in leveraging Elasticsearch, Java/Spring Boot, Python Flask/Django, and microservices architectures to build high-performance applications that push the boundaries of modern technology.I am deeply committed to cloud engineering/devops with certifications in Microsoft Azure Fundamentals, Azure Administrator AZ104, and AWS Cloud Practitioner. I have hands-on experience with cloud-native technologies, containerization (Docker, Kubernetes, Openshift), and CI/CD pipelines, enabling the seamless deployment and scaling of backend infrastructures along with Infrastructure as code(Terraform).Passionate about backend development, I continuously explore advancements in distributed systems, API design, and database optimization (SQL/NoSQL). Whether it’s implementing serverless architectures or integrating cutting-edge machine learning models, I always seek to bring innovative solutions to life.When I’m not coding, you’ll find me staying active through rock climbing, running, and badminton, balancing technical problem-solving with physical challenges.
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Software Engineer IiiEbayToronto, On, Ca
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Software EngineerIbm Mar 2024 - Present- Developed batch multi-search feature, allowing up to 30 queries in a single API call reducing API calls by 70%, from 1000 to 30, improving efficiency and integrating seamlessly with internal solution- Integrated vector search feature using OpenSearch, incorporating the KNN plugin; resolved critical version incompatibilities impacting the accuracy of search results for over 10,000 end-users- Increased configurability for search calls, enabling higher precision and accurate results from external services by adding debug parameters allowing users to view semantic expansions of their queries for greater transparency- Optimized elasticsearch queries, reducing search time by 20% through the deduplication of semantic synonyms and enhancing overall application performance- Spearheaded the implementation of configurable options across 5 Elasticsearch indices, increasing system performance by 5%, while writing thorough tests to ensure stability and facilitate seamless future updates for product enhancements -
Associate Developer, Expertus PaymentsIbm Jun 2023 - Mar 2024Toronto, Ontario, Canada- Developed API integration with Watson Assistant using API Gateway, Lambda, and Secrets Manager to create intelligent flows and improve search queries for EPS querying PostgreSQL databases- Explored generative AI (OpenAI) to automate database searches, aiming to replace traditional queries with conversational interfaces for client-facing applications- Developed interbank communication solutions using Spring Boot, Kafka, Docker, and Postman to translate ISO messages to OBIE open banking formats, focusing on field mapping and integration
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Cloud And Data Engineer, Client EngineeringIbm May 2022 - Dec 2022Toronto, Ontario, Canada- Developed and deployed scalable full stack web application using ReactJS, ExpressJS, and MongoDB, enabling 100k+ users to donate and bid on items for an employee charitable fund-Increased website traffic and participation by 300% through effective cross-functional collaboration on product and design requirements- Optimized application performance by refactoring legacy code, reducing load times by 40% and improving user experience
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Cloud EngineerAvanade Jan 2022 - Apr 2022Toronto, Ontario, Canada- Expedited the deployment process by integrating static code analysis and auto-generated documentation into Azure to identify issues and reduce errors before deployment- Introduced automated static code scanning and autogenerated documentation processes using Azure DevOps, improving code quality and reducing post-release defects by 25%- Integrated network flow log monitoring for virtual machines connected through Azure Monitor Private Link using Terraform and Log Analytics -
Cloud EngineerSun Life Sep 2020 - Dec 2020Waterloo, Ontario, Canada- Engineered an automated reporting solution with AWS Lambda function with Infrastructure as Code (CloudFormation), streamlining report generation and email distribution, reduced manual intervention by 80%, cut report delivery time by 50%, and enhanced the reliability of data dissemination- Created custom command-line tool using AWS Boto3 to streamline S3 uploads and CloudFormation deployments, doubling 2x team productivity and enabling faster, more efficient workflows- Developed an automated Python script for audit report generation, streamlining data compilation and reducing manual work by 30 hours per month
Daniel Kwan Skills
Daniel Kwan Education Details
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Data Science
Frequently Asked Questions about Daniel Kwan
What company does Daniel Kwan work for?
Daniel Kwan works for Ebay
What is Daniel Kwan's role at the current company?
Daniel Kwan's current role is Software Engineer III.
What schools did Daniel Kwan attend?
Daniel Kwan attended Wilfrid Laurier University.
What skills is Daniel Kwan known for?
Daniel Kwan has skills like Leadership, React, R, Amazon Web Services, C, Microsoft Azure, Data Analysis, Agile Methodologies, Terraform, Infrastructure As Code, Java, Time Management.
Who are Daniel Kwan's colleagues?
Daniel Kwan's colleagues are Sakshi Rani, Judy Holzgen, Roberta Gaia Fiore, Joanna Lahtinen, Monosrija Maity, Austyn Rodriguez, Terrell Johnson.
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Daniel Kwan
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