well as other data sources that are currently not databased Python (3+ for production level code, including pydantic, liniting, type hinting etc) Dashboard building (Grafana, Streamlit, Superset, Plotly Dash etc) Development Lifecycle Skills Requirements/Request elicitation and logging (e.g. understanding user needs for models/analysis/outputs … likely be using: Programming: Python, polars, pydantic, uv, SQLAlchemy, Streamlit Infrastructure and DB: Postgres, Warehousing (if we did it), prefect, Kubernetes, SQLAlchemy, AWS Visualisation: Grafana, Superset, Marimo Forecasting + general DS: lightgbm, xgboost, numpy, scipy, scikit-learn Claude AI Ultimately we are looking for someone who is a great ...