Freelance Data Engineers in State of São Paulo
Freelance Data Engineers in State of São Paulo
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Enrique Sampaio dos Santos
São Paulo, Brazil
Web & Data Engineering Expert with 10+ Years Experience
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Web & Data Engineering Expert with 10+ Years Experience
0
Brand Engagement Tracker: Twitter/X Monitoring and Insights
0
5
0
Real-Time Fraud Detection Architecture for Banking Transactions
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3
0
Development of RAG with LLM for Enhanced Information Access
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5
0
End-to-End MLOps Pipeline: Automated Model Lifecycle Management
0
2
Data Engineer
(3)
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Icaro Asas Virtuais
State of São Paulo, Brazil
Web Developer & Solutions Architect
$5k+
Earned
3x
Hired
5.0
Rating
16
Followers
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Web Developer & Solutions Architect
1
Ecommerce Dashboard with PoS integration via API
1
15
4
In a single night I was able to build this awesome diary PWA using by applying my very own framework architecture with Google AI Studio. I'm actually using the app myself for the first time in my career, like I'm the user of my own craft, can't believe I finally made it. Now I can think of how I can sell it, but for you who are reading here you can also enjoy the app for free at the link: https://easyaichatdiary.vercel.app/
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4
105
2
I was able to build a working AI generated RPG app in 2 days with Google Gemini 3 and my very own framework asasvirtuais (https://github.com/asasvirtuais/asasvirtuais-framework). I used Airtable to store the data and generate images and text based on user provided definitions of the game elements (cards, characters, missions).
2
103
1
Fullstack Developer to Build Bilingual Course Platform MVP
1
15
Data Engineer
(1)
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Bruno Del Monde
pro
Campinas, Brazil
Fullstack end-to-end solutions for your business
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Fullstack end-to-end solutions for your business
1
High-Performance Global Trade Engine
1
3
1
Custom Medical Management: Rescuing 15 Years of Legacy Data
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3
1
Not a Game: Turning Life into an RPG
1
2
1
Hop Off: Systems Integration in a 3D Stealth Environment
1
0
Data Engineer
(1)
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Diego Lopes
Sorocaba, Brazil
Building AI Agents & SaaS with Next.js
Expert
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Building AI Agents & SaaS with Next.js
1
PagueFlow: Personal Finance PWA (Built with Replit AI) A full-stack financial management application featuring expense tracking, dashboards, and authentication. Replit Development Workflow: AI-Driven Development: Heavily utilized Replit Ghostwriter to generate logic for the dashboard calculations and UI components (visible in Git history as "Assistant checkpoints"). Version Control: Managed the entire Git workflow directly via the Replit Git pane to track features and rollbacks. Integrations: Configured the connection with Supabase (Auth & Database) directly within the Replit environment variables and shell. Stack: TypeScript, Tailwind CSS, Supabase (Developed entirely in Replit).
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61
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Official Website: TENET AI (High-Conversion Landing Page) The public-facing portal and onboarding flow for the TENET AI ecosystem. Built with Replit: Rapid Prototyping: Used Replit's instant preview environment to iterate on the UI/UX design in real-time without local server setup. Frontend Performance: Optimized assets and code splitting directly within the Replit editor to ensure high Lighthouse scores. Zero-Config Dev: Leveraged Replit's pre-configured templates to jumpstart the development of the responsive layout. Stack: HTML5, Tailwind CSS, JavaScript (Developed in Replit).
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78
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SaaS Platform: TENET AI (Built on Replit) A multi-tenant AI agent platform developed entirely within the Replit ecosystem. Replit-First Workflow: Cloud IDE: Used Replit as the exclusive environment to build complex Python/FastAPI microservices without local setup. AI Assisted: Leveraged Replit Ghostwriter to accelerate boilerplate generation for the multi-agent orchestration logic. Debugging: Utilized the Replit Shell for real-time testing of WhatsApp API webhooks before pushing to production. Stack: Python, FastAPI, PostgreSQL. (Production deployed via Railway, Development via Replit).
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71
1
LeadInsights: Data Mining Tool (Developed in Replit) A Python-based lead qualification tool. The entire development lifecycle, from initial scripting to final debugging, was executed within the Replit cloud IDE. Replit Development Workflow: Zero-Setup Environment: Leveraged Replit's pre-configured Python environment to immediately start coding complex data processing scripts using pandas and BeautifulSoup without local dependency hell. Interactive Debugging: Utilized the Replit Shell heavily to run ad-hoc data scraping tests and inspect data frames in real-time before integrating them into the main application logic. Package Management: Managed Python dependencies directly through the Replit console, ensuring a reproducible development environment. Stack: Python, Pandas, Web Scraping Libraries (Developed directly in Replit).
1
56
Data Engineer
(1)
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