Feb 2022 – Apr 2025 · 3 yrs 2 mos · New York, United States

• My role focused heavily on relational database architecture, schema design, and query engineering using PostgreSQL. I specialized in modeling scalable database structures and writing highly optimized queries to handle complex analytical workloads. By implementing strategic indexing, tuning query execution plans, and refactoring legacy database logic, I significantly improved data retrieval speeds and minimized computational bottlenecks across our primary data stores.
• I owned the development and orchestration of end-to-end ETL pipelines using Kubernetes with Argo Workflows. I built and maintained reliable data flows, leveraging Python with Pandas for complex data manipulation. NumPy and PySpark for vectorized transformations to convert raw data into structured schemas for downstream consumption. My emphasis throughout these pipelines was ensuring strict data quality and execution reliability, automating validation steps within the workflows to catch anomalies early and maintain high-integrity data assets.

Jun 2018 – Feb 2022 · 3 yrs 8 mos · New York, United States

• My focus was entirely on building and launching full-stack features designed to directly drive marketplace revenue. As the platform scaled, I refactored most of the legacy codebase, introducing Domain-Driven Design (DDD) concepts to untangle technical debt and segregate complex workflows into clear, bounded contexts. On the product side, I utilized React with Redux to build responsive, state-driven interfaces that streamlined monetization workflows, such as premium vendor tools and conversion-optimized checkout paths. To support these revenue-generating domains on the backend, I engineered robust, modular business logic in Python and Django, leveraging Postgres for reliable transactional data management and Elasticsearch for the search engine.
• To maximize transaction velocity and keep the platform responsive, I offloaded heavy, time-sensitive operations into asynchronous background processes. I built and managed distributed task queues using Celery and Redis to handle high-volume event processing, such as instant buyer-seller notifications, automated invoice generation, and transactional email triggers. By combining this specific stack with architectural patterns like DDD, I ensured that critical revenue features were not only high-performing but also highly maintainable, directly scaling the marketplace's profitability.

Sep 2016 – Mar 2018 · 1 yr 6 mos · Palo Alto, California

• Tools Used: Python and Javascript using frameworks such as Django, Django Rest Framework, React with Redux and Sagas, Vue.js, Knockout.js. Database: Postgres
• At Carta, serving as a full stack developer, I'm engaged in developing solutions for cap table management.
• I participate in all aspects of delivery, including planning, design, code review, process improvement, and code delivery and collaborate with agile team members to develop clear user stories and testable products that can be deployed in an iterative manner to users.
• In addition, I'm involved in designing overall architecture of the web application, maintaining quality, and ensuring responsiveness of applications. Also, I keep on proactively updating stakeholders and maintaining open communication and performs other duties as assigned by management.

Apr 2016 – Aug 2016 · 4 mos · Greater Rio de Janeiro

• Tools Used: Python with Django and Angularjs based on components, tests with Jasmine and Protractor. Database: MySQL
• At Órama, I determined and implemented appropriate automated testing solutions given the constraints of a project. I participated in software development life-cycle process, including contributing to story creation, estimation, daily standups, etc; designed applications; identified programming solutions while respecting the functional specifications in compliance with established standards.
• Selected highlight of this role:
• ► Migrated a default Django application to a SPA using Django REST and AngularJS with components.

Mar 2015 – Aug 2015 · 5 mos · San Francisco, California

• Tools Used: Python with Falcon and Flask frameworks, tests with Runscope. Database Rethinkdb, server Gunicorn and Nginx.
• In this role, I developed an API and a dashboard with respect to facilitate communication with sensors in buildings for monitoring events as a Backend developer.

Jan 2015 – Jun 2015 · 5 mos · Greater Rio de Janeiro

• Tools Used: Javascript using frameworks such as Meteor.js, Express, Angular.js. Database: MongoDB
• With Quadri Systems, I developed 2 main project from scratch comprising a realtime e-commerce using Meteor.js to sell buses, with also the possibility to do auctions and a mobile app using Ionic framework and also a website to monitor buses around the city of Macaé/RJ. For this project, I used a MEAN Stack architecture consuming both the website and the mobile app from the same API using Express.js.

Dec 2014 – Jan 2015 · 1 mo · Buenos Aires, Buenos Aires Province, Argentina

• Tools Used: PHP and Python. Database: Postgres
• At ShowApp, I single-handedly worked on restructuring all the layout to a responsive one, added some new features, updated database schema and improved the code by refactoring some bits and pieces.

Apr 2014 – Nov 2014 · 7 mos · Greater Rio de Janeiro

• Tools Used: PHP, SQL, Shell script. Databases: MySQL and Oracle
• Performed DBA in collaboration with the Business Intelligence team at Lojas Americanas and developed applications for decision making with PHP and MySQL as well as enhanced the performance of existing applications.
• ► Conducted data analysis and showed them in dashboards with charts and search engines.
• ► Gained an in-depth understanding of database such as MySQL and OracleSQL as well as performed maintenance of infra on a database level and worked making routines with shell script.

Apr 2013 – Nov 2013 · 7 mos · Greater Rio de Janeiro

• Tools Used: PHP, Yii Framework. Database: MySQL
• At Target Solutions, I functioned as a Full Stack PHP Developer and worked on an application to organize lines in restaurants and fast foods using a mobile app and a web application along with a team of 2 developers.