Python Job Support – Backend, Data & ML Engineering Help
Python is used everywhere — from Django REST APIs to PySpark data pipelines to PyTorch model training. When something breaks, you need someone who has been there. Our Python job support connects you with a senior Python engineer for live, hands-on debugging.
Python Domains We Cover
Web Development
- Django – ORM, views, serialisers, DRF, authentication, signals, Celery tasks
- FastAPI – dependency injection, background tasks, Pydantic v2, async endpoints
- Flask – blueprints, SQLAlchemy integration, Marshmallow, testing
Data Engineering
- Pandas / Polars – data manipulation, merging, reshaping, performance
- PySpark – DataFrames, SparkSQL, partitioning, UDFs, cluster optimisation
- Apache Airflow – DAG authoring, XComs, hooks, custom operators, backfills
- dbt – models, tests, snapshots, Jinja templating
- Kafka with Python – confluent-kafka producer/consumer patterns
Machine Learning
- Scikit-learn – pipelines, custom transformers, cross-validation
- TensorFlow / PyTorch – model training loops, GPU usage, ONNX export
- MLflow – experiment tracking, model registry
- Feature engineering and data preprocessing
Infrastructure & DevOps
- Dockerising Python apps – multi-stage builds, poetry lock files
- AWS Lambda with Python – cold start optimisation, layers
- Python packaging – pyproject.toml, wheel builds, private PyPI
Common Issues We Resolve
- Celery tasks silently failing or stuck in PENDING state
- Django ORM producing N+1 queries in production
- Airflow DAG not scheduling due to dependency issues
- PySpark job running for hours — partition skew, shuffle spill
- FastAPI async routes blocking the event loop
- Poetry dependency conflicts on CI