About the Project We’re working on a short-term data reporting project focused on migrating and improving Python-based analytics notebooks. Our goal is to move from DeepNote (Jupyter) to , clean up existing data logic, and make the reporting system more automated and professional. We already have a clear project plan and technical direction — we just need a reliable Python developer to help us execute and polish the migration. You’ll work directly with our lead engineer and focus on notebook refactoring, visualization rebuilding, and report generation automation. Must-Have Skills 3+ years of experience with Python Solid Pandas and data manipulation skills Experience working in Jupyter or DeepNote Familiar with Plotly or similar chart libraries Version control (Git) and basic code organization habits Communicates clearly, meets deadlines, and is available during weekdays Nice-to-Have Skills Experience with Marimo or other reactive notebook tools Knowledge of AWS S3 and simple data pipelines Experience generating PDF reports from Python Familiarity with healthcare or financial data Light sense of design / visualization polish Soft Skills Great communication — keeps us updated proactively Punctual and delivers on time Accountable and self-managing Collaborative mindset with attention to detail Deliverables Migrate 4 existing DeepNote notebooks into Marimo with functional parity. Verify and refactor all data logic for accuracy, readability, and performance. Recreate key charts and KPIs using Plotly or Matplotlib. Confirm data integrity and consistent outputs across reports. Implement reusable components to reduce code duplication between notebooks. Finalize automated PDF report generation workflow (batch export per customer). Provide lightweight documentation and usage notes for future developers. Deliver clean, reviewed code in Git with working Marimo notebooks. How to Apply Please include: A short intro (who you are + your experience with Jupyter or data analytics). Example of a Python notebook or data visualization you’ve built (GitHub link or screenshot). Your timezone and typical work hours.