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.
13 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
Open-source AI agent for B2B lead generation — describe your product, it finds the people who fit and explains why each one does, then exports a CSV your cold-email tool can send. Self-hosted CLI.
Role in this project:
Full-stack Developer
Contributions:2 reviews, 83 commits, 266 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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