Dear Hiring Manager,
At Brightmark Analytics I wrote the pandas ETL that pulled 5GB of CSV feeds in every morning and handed clean datasets to three downstream teams, which is where I learned that a backend job is only done when someone else can trust its output without checking it. That habit followed me into the FastAPI and Django work I do now, and it is what draws me to the Python Developer (Backend) role at Northbeam, where the numbers a service reports have to hold up. I test first, I read the slow query before it becomes an incident, and I came up through data plumbing before I owned production APIs, so I treat a pipeline and a stack trace the same way.
At Larkfield Software I built and maintained 12 FastAPI endpoints behind a payments dashboard and cut median response time from 480ms to 110ms by adding Redis caching and moving database calls off the request path. I led the migration of a Django monolith to a service that now handles more than 2 million requests a day, introducing Celery and RabbitMQ so report generation no longer blocked user requests. I also raised test coverage from 54 to 88 percent with pytest and wired the suite into GitHub Actions so a failing test blocks the merge.
If it is useful, I can send over a small FastAPI repo I keep current, from the schema through the test suite, as a concrete sample of how I structure a service. My AWS Certified Developer - Associate work means I am as comfortable with where a service runs as with where it builds, so I can own it past the merge. Could we find 20 minutes this week or next to talk through Northbeam's backend and where you most need a Python hand?