Professional Profile
Backend & Data Scraping Developer specialized in design, automation, and scalable data pipeline architectures. With professional experience in the Fintech sector, I excel at building data extraction tools via Python, integrating complex REST APIs, and processing heavy workloads. Expert in Advanced SQL database modeling and data parsing to translate high-volume information into actionable business assets while guaranteeing high standards of reliability and ethics.
Work Experience
Backend Developer | Core Banking
COOPESOL | FINTECH
- ▹ Developed robust banking transaction logic using complex relational models in PostgreSQL, ensuring total data integrity.
- ▹ Designed and integrated secure, high-concurrency REST APIs for critical accounting movements and external financial tracking.
- ▹ Implemented data aggregation queries optimizing the storage and query speeds of financial statements.
IT Technical Instructor
COL. NUESTRA SEÑORA DEL PILAR
Led high-level technical training focused on programmatic algorithmic logic, advanced structured data control, and local database systems server administration.
Engineering & Data Projects
INVORAX ERP | Smart Data Analytics
Django REST Framework | Advanced SQL (PostgreSQL) | Multi-tenancy
A multi-tenant SaaS application engineering clean database-level data isolation. Built with custom Python back-end scripts that process structural history logs and automated data evaluation logic to handle analytics for supply chain tracking across corporate clusters.
Data Extraction & Automation API Python / Flask
Custom engine built with Python for automatic page structures parsing. Implemented robust error handling routines (`try/except`) for DOM element parsing, structured output mapping, and API relaying.
AI NLP Pipeline Core Python / Pandas
Extracted text-processing framework managing LLM processing and high-volume data structures transformation using Pandas to sanitize and normalize target datasets before production queuing.
High-Concurrency Microservice Node.js + TS
Asynchronous microservice optimized for rapid dataset calculations and payload processing. Focused on optimized task pooling and heavy asynchronous operations throughput.
Academic Management Core Django / SQL
Data manipulation engine for massive database batch updates, automated statistical calculations, and dynamic, error-free streaming report generation.