Walter T.
Senior Backend Developer
Walter is a seasoned Senior Backend Developer boasting a rich twelve-year tenure in the commercial realm. His expertise spans a diverse range of technologies, including Python, Django, JavaScript, Redis, REST API, PostgreSQL, MySQL, and Node.js.
With a strong grounding in Scrum and Agile methodologies, Walter brings a structured approach to project management. One of his standout projects involved the development of a data pipeline at TrustYou, facilitating the extraction of reviews from platforms like Google Maps and TripAdvisor.
Walter is distinguished by his practical problem-solving approach, which has consistently positioned him as a dependable asset within project teams.
Principale expertise
- Django 10 ans
- JavaScript 6 ans
- PostgreSQL 10 ans
Autres compétences
- Vue.js 2 ans
- MongoDB 2 ans
- AWS Lambda 2 ans
Expérience sélectionnée
Emploi
Backend Engineer
Uber - 2 années 6 mois
- Designed and created a new API workflow to replace the Cornershop merchant self-onboarding.
- Developed, implemented, and maintained backend microservices that directly power the UberEats app's storefront, store search, and individual item view.
- Created and executed backend experiments (XPs) to assess the impact of changes and optimize conversion rates, with improvements ranging from 5% to 12%.
Les technologies:
- Les technologies:
Django
Golang
PostgreSQL
Redis
Python
- Unit Testing
- Integration Testing
- Automation testing
Pytest
Software Engineer
BairesDev - 3 mois
- Contracted by a SaaS platform that helps customers monitor their cloud usage
- Contributed to refactoring the notifications app architecture
- Provided a more robust platform for microservices to interface
- Reduced timeout errors by 30%
- Increased average open rate by 22%.
Les technologies:
- Les technologies:
-
Django
-
PostgreSQL
-
Redis
REST API
-
Python
Git
Scrum
AWS
-
Pytest
Senior Software Engineer
TrustYou GmbH - 2 années 5 mois
- Led creation, maintenance, and enhancement of web scrapers, boosting data accuracy, efficiency, and main product uptime SLA by about 20%.
- Automated critical components of a large data pipeline used to process millions of reviews daily, ensuring its efficiency and stability.
- Developed features that impacted company OKRs directly, such as reduced scraped data TTL to production, reduced pipeline execution time, churn prevention, and revenue increase.
- Successfully migrated key features of the legacy codebase from Python 2.7 to Python 3.9+, improving the platform's reliability and future scalability.
- Participated in the architectural decisions of the main project, data pipeline.
Les technologies:
- Les technologies:
JavaScript
-
PostgreSQL
-
Python
Scrapy
Agile
-
Scrum
Node.js
Selenium
- Unit Testing
- Regression testing
- Functional testing
- Integration Testing
Jira
-
Pytest
Éducation
License ès sciencesComputer Science
Morelia Institute of Technology · 2008 - 2012
Portefeuille
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