Dataflux-U-nidos/Backend
Apr 2025 – May 2025
2 Months active
Languages Used
JavaScriptTypeScript
Technical Skills
API DevelopmentBackend DevelopmentDatabase DesignExpress.jsMongooseNode.js
Juan Miguel Zuluaga Suárez
PROFILE
Juan Miguel Zuluaga Suárez
Contributed backend features to the Dataflux-U-nidos/Backend repository over two months, focusing on admin governance, data integrity, and workflow automation. Developed category-based admin endpoints and CRUD operations for user types such as Marketing, Support, and Finances, enhancing auditability with createdAt and updatedAt timestamps. Integrated psychometric and vocational test APIs using Node.js, TypeScript, and AWS Lambda, standardizing payloads with JSON templates for scalable processing. Implemented email-based customer satisfaction workflows, including user verification and Lambda-backed data retrieval. The work emphasized robust data modeling, streamlined test processing, and improved reporting, demonstrating depth in API development, backend architecture, and cross-service integration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
744
Activity Months2
Your Network
5 peopleWork History
May 2025
2 Commits • 2 Features
May 1, 2025May 2025: Backend feature delivery for psychometric/vocational testing and customer satisfaction workflows. Implemented API integration for psychometric, vocational, and partial vocational tests with Lambda-backed processing and new controllers/routes; enabled email-based satisfaction questionnaire dispatch and data retrieval via Lambda endpoints; introduced JSON templates to standardize test data. These efforts streamline test processing, enhance data reliability, and improve customer feedback capture, delivering measurable business value with faster end-to-end processing and better metrics. No major bugs reported; minor issues addressed promptly. Technologies demonstrated include backend API design, AWS Lambda integrations, JSON templating, email workflows, and cross-service data coordination.
2 Commits • 2 Features
May 1, 2025May 2025: Backend feature delivery for psychometric/vocational testing and customer satisfaction workflows. Implemented API integration for psychometric, vocational, and partial vocational tests with Lambda-backed processing and new controllers/routes; enabled email-based satisfaction questionnaire dispatch and data retrieval via Lambda endpoints; introduced JSON templates to standardize test data. These efforts streamline test processing, enhance data reliability, and improve customer feedback capture, delivering measurable business value with faster end-to-end processing and better metrics. No major bugs reported; minor issues addressed promptly. Technologies demonstrated include backend API design, AWS Lambda integrations, JSON templating, email workflows, and cross-service data coordination.
May 2025
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 Backend monthly summary: Strengthened admin governance and data integrity with category-based admin endpoints and robust data modeling. Key accomplishments include admin CRUD for Marketing, Support, and Finances and added admin endpoints to retrieve data by category; addition of createdAt/updatedAt audit timestamps across key entities; and a refactor to cast user update results to the User type. This work enhances auditability, reduces risk of type errors, and improves reporting capabilities. No major bugs reported this period.
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 Backend monthly summary: Strengthened admin governance and data integrity with category-based admin endpoints and robust data modeling. Key accomplishments include admin CRUD for Marketing, Support, and Finances and added admin endpoints to retrieve data by category; addition of createdAt/updatedAt audit timestamps across key entities; and a refactor to cast user update results to the User type. This work enhances auditability, reduces risk of type errors, and improves reporting capabilities. No major bugs reported this period.
Activity
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Quality Metrics
Correctness86.0%
Maintainability84.0%
Architecture86.0%
Performance80.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
API DevelopmentAPI IntegrationAWS Lambda IntegrationBackend DevelopmentDatabase DesignExpress.jsMongooseNode.jsREST APIsTypeScriptUser Management
Repositories Contributed To
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