Python Developer for Financial Automation

We're a Brazilian B2B healthtech (laboratory services for hemodialysis clinics) looking for a part-time Python developer to build and maintain financial automation tools. What you'll build: 1. Billing automation: scripts that read lab production data (CSV exports), cross-reference with contract pricing tables, and generate formatted Excel billing reports (openpyxl) for different clients, each with specific templates 2. Invoice integration: connect with our electronic invoice system (Focus NF API) and banking platform (BTG Pactual / CNAB format) to automate invoice issuance and bank slip generation 3. Email monitoring workflows: set up n8n or Make.com to detect incoming purchase orders from clients, extract key data (PO numbers, amounts), and update tracking spreadsheets automatically 4. Accounts receivable dashboard: build a live dashboard (Google Sheets API or Streamlit) showing aging reports, collection status, and cash flow projections 5. Bank reconciliation: parse OFX/CSV bank statements and auto-match payments with issued invoices 6. AI-powered collection emails: integrate with Claude/GPT APIs to generate personalized collection emails based on invoice status and payment history Requirements: - Python 3+ years (strong fundamentals, clean code) - openpyxl and/or pandas for Excel manipulation - REST API experience (consuming and building) - Google Sheets API or similar - Native Portuguese speaker (all business context is in Brazilian Portuguese) Nice to have: - Experience with NFS-e (Brazilian electronic service invoices) or CNAB banking files - n8n, Make.com, or Zapier - Anthropic/OpenAI API integration - Understanding of billing/invoicing/AR processes - smtplib / email automation Project details: - 20-30 hours/month, ongoing - Fully remote - Start: immediate - Communication in Portuguese - We use Claude AI heavily in our workflow, so comfort with AI-assisted development is a plus To apply, please: 1. Share 1-2 relevant past projects (financial automation, Excel generation, or API integrations) 2. Briefly describe your experience with openpyxl or pandas 3. Your hourly rate and weekly availability