Antonio D is a Software Architect with 12 years of experience designing and shipping data-intensive backend systems, pipelines, and ML workflows for cloud-native environments. He combines deep Python expertise (Django, FastAPI), modern data tooling (Dagster, dbt), and DevOps practices on GCP/AWS to deliver reliable production systems and fast feature cycles. Notable work includes architecting an arbitrage platform that ingested data from 329 stations and 1,000+ tanks, a load-optimization algorithm adopted by trading teams, and a dbt/Dagster pipeline that rescued flawed client data. He pairs hands-on implementation (including a LinkedIn scraper project integrating Selenium, Scrapy, and Docker) with TDD and CI/CD to reduce deployment errors and accelerate delivery. A serial entrepreneur and remote-work veteran based in Las Palmas, he has launched consumer tools (a Chrome extension with 200+ users), programmatic SEO projects, and applied Bayesian forecasting for a 40% ROI—showing a knack for turning data science into tangible outcomes. Antonio seeks a long-term remote role where he can tackle complex data engineering challenges within collaborative teams.
12 years of coding experience
8 years of employment as a software developer
Bachelor's degree Statistics, Bachelor's degree Statistics at Università degli Studi di Palermo
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Università di Pisa
Linkedin Scraper using Selenium Web Driver, Chromium headless, Docker and Scrapy
Role in this project:
Full-stack Developer
Contributions:2 reviews, 83 commits, 240 PRs in 6 years 3 months
Contributions summary:Antonio's primary contribution involved developing and modifying code related to scraping data from LinkedIn using Selenium and Scrapy. They worked on integrating Selenium with a Chromium-based headless browser and implemented features like login automation and page interactions within the scraping process. Furthermore, the user refactored the codebase for better integration with a CrawlSpider and Docker/Docker Compose, indicating a focus on both backend logic and deployment infrastructure. This suggests a full-stack approach to the project.
Contributions:20 commits, 11 pushes in 7 years 11 months
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