Web Scraping & Data Extraction Solutions | Python & Scrapy
Developed automated data extraction solutions to collect, process, and deliver business-critical information from websites and online platforms.
Full Description:
As part of my work at Cotefácil, I developed web scraping solutions using Python and Scrapy to gather information from partner platforms and e-commerce websites.
The extracted data was processed and integrated into internal systems, supporting automation workflows and business operations.
The focus was on creating reliable, maintainable, and scalable scraping solutions capable of handling large volumes of information efficiently.
Technologies: Python, Scrapy, Data Extraction, Web Crawling, Automation, Data Processing.
Key Achievements:
✔ Developed scalable web scraping solutions using Scrapy
✔ Automated data collection from external platforms
✔ Reduced manual effort through automated extraction workflows
✔ Supported business integrations with high-quality structured data
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Pharmacy System Integration Platform | Python, APIs, AWS & Automation
Developed integration solutions connecting pharmacy management systems with partner distributors, enabling automated data exchange and improving operational efficiency.
At Cotefácil, I worked on the development and maintenance of backend systems responsible for integrating pharmacy software with partner distributors.
The project involved designing and implementing Python-based API solutions, automating data synchronization processes, and building cloud infrastructure to support reliable and scalable operations.
I also contributed to deployment automation and infrastructure management, helping the team deliver consistent and maintainable solutions.
Technologies: Python, REST APIs, Docker, AWS, Terraform, CI/CD.
Key Achievements:
✔ Built scalable API integrations between pharmacy and distributor systems
✔ Automated business-critical data synchronization processes
✔ Developed cloud infrastructure using AWS and Terraform
✔ Improved deployment reliability through Docker and CI/CD practices
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AI-Powered Payment Processing Automation (Thoughtful AI)
Developed AI-driven automation workflows for healthcare payment processing, significantly reducing manual effort and improving operational efficiency through Python-based RPA solutions.
One of the key challenges involved processing payment information from websites where payment details were only available as images rather than structured data. To overcome this limitation, I researched, implemented, and integrated OCR technology into the automation workflow, enabling the system to accurately extract payment information from images and automatically enter the data into downstream systems.
This solution improved data processing reliability, reduced manual intervention, and expanded the automation's ability to handle previously unsupported payment scenarios.
Skills: Python, RPA, AI Automation, Process Automation
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Healthcare Eligibility Verification Automation (Thoughtful AI)
Designed and delivered an automation solution that achieved 100% verification accuracy while reducing processing time by 99% through API integrations, portal automation, and voice automation technologies.
Skills: Python, API Integration, Automation, AI, Healthcare