Maintain and extend collection of demo data pipelines

Our company has built a tool using Python to monitor data pipelines and services. To test and demonstrate the tool's capabilities, we have a set of demo "playground" pipelines with various simple tasks... - data ingest - ETL - model training - model deployment The pipelines demonstrate the ability to work with a wide variety of common data science and analytics resources: - AWS / GCP services (deployment with Pulumi) - AWS S3 / GCP Cloud Storage - APIs - database operations We want to keep extending and refining these demos as we continue to build features for our product: - dbt - Airbyte - Databricks - Snowflake - etc We'd like to find someone willing to take on a few tasks per week to help maintain and expand these demos and docs. The budget is limited to start, with opportunity to renegotiate after 2 weeks. You are encouraged to use cursor and Claude Sonnet 3.5. We are very flexible on scheduling. Example tasks we have for the upcoming few weeks: - Establish an API Gateway (v1) for public access to an AWS Lambda, secured with rate limiting and a secret key - Create a copy of an existing AWS Lambda pipeline with an event-driven architecture instead of a single python script - Create a copy of an existing AWS Lambda model training script as a Databricks notebook - Create a copy of an existing AWS Lambda pipeline using Airbyte - Create a copy of an existing AWS Lambda pipeline using dbt - Create a copy of an existing AWS Lambda pipeline using AWS Glue - Create a sample dataset and load it into Snowflake - Create a sample dataset and load it into Postgres (Neon) - Update an existing pipeline task so that it will fail (timeout) every Saturday - Update an existing pipeline task so that it will fail (bad API key) every Wednesday If this is of interest, please introduce yourself and share - a desired weekly budget, - desired number of hours, and - which of the above tasks you'd expect to be able to accomplish in a first week given ~4 hours (half a day Apply Job!