Professional Evolution

- PostgreSQL queries improvements to reach 30% reductions in costs.
- Agentic configuration for backend projects to increase development timing
by 70%.
- Unit tests implementation and optimization for every feature developed or
updated.
- Data pipelines maintenance and code refinement to implement SOLID
principles over legacy code and microservices.
- API development using FastAPI and Django Rest Framework.

- Creation and maintenance of ETL programs developed in Python with the
Pandas library for the management and refinement of advertising data and
user interactions stored in Data Warehouse that feed reports in Looker
Studio.
- Streamlined ETL program deployment, improving efficiency by 20%, by
designing optimized Docker images.
- Configured Google Cloud (GCP) services such as Cloud Run for ETL and
API deployments.

- Design and implementation of business intelligence system to provide insights to the
company managers about departments performance, sales and clients status. Python,
Django, Pandas and Chart.js used in site.
- Requirement gathering with every company department to define functional
requirements of the project.

- Automation of sales process increasing 60% the total sales thanks to the
development of a webhook integration between Wix and TradingView. Python with
FastAPI and Go used.
- Configured Amazon Web Services (AWS) services such as EC2 and Amazon RDS
for backend deployment.
- Design and implementation of GraphQL API for the reception and management of
information sent by scraping bots. API developed in Go with MongoDB Database.

- Reduced by 70% the total errors obtained in scraping processes thanks to the
implementation of Python scripts to validate the data scraped and identify issues.
- Creation of the training guide for new team members, providing specific cases
that help them to have an overview of the work to be done. This methodology
improves the integration of developers by 40% in time.

- Reduced by 70% the total errors obtained in scraping processes thanks to the
implementation of Python scripts to validate the data scraped and identify issues.
- Creation of the training guide for new team members, providing specific cases
that help them to have an overview of the work to be done. This methodology
improves the integration of developers by 40% in time.

- Development of small software products related to sales data that improved decision
making time by 30% and reducing consultation time by 70%. Standard Python,
Pandas and Django used on projects.