I am a Software Developer with senior-level Python - building, scaling and maintaining products and infrastructure for clients. I work on distributed data processing solutions, write and test code, debug programs and integrate apps with third-party web services on projects. I deliver highly responsive web apps that add real value to business operations.
Creating and developing innovative software solutions for clients across a broad range of industries.
Participate in scrums consisting of cross-functional teams, both software and hardware.
Ensure that features are being delivered efficiently and on-time.
Built backend components to improve the responsiveness and performance of the internal bad debt provisioning architecture within Itaú Unibanco.
Customized and maintained the internal architecture in line with BACEN provisions for the bank.
Designed and implemented a new architecture using different stacks to reduce processing times from 10 to 5 days.
Worked as part of the main team to formulate and define system scope and objectives for proprietary CRM software.
Actively participated in generating batch files from the backend of a car insurance quote system for a client.
Consulted with Speedy's senior partner in resolving issues with solutions and contributing to project plans and timelines.
Worked on the development of a translation service between Santander and some insurance companies. Utilized text positioned files generated by the Cobol Mainframe on the solution with multiple formats and APIs for implementation. Developed a proprietary framework in Delphi to handle tasks on the service - working offline with different data formats to prepare and send multiple requests to the insurance companies on the project.
Handled the upgrade of a solution from VB6 to VB.Net - implementing new solutions to make it more efficient. Utilized the client's business rules to initiate changes on the database - leading to a reduction in processing time on the solution from 1 hour to 5 minutes.
Worked on the migration of a solution from a full mainframe process - using 10 days to slice the mainframe with Java, Python, and Cassandra. Refactored the old solution and reduced processing time from 10 days to 5 days for the client.
