Canton, Michigan • Metro Detroit • Nationwide
Python Development that turns data and services into productive workers
We build FastAPI services, dependable data pipelines, and automations that integrate cleanly with your current stack - or build new services that extend your current capabilites.

Overview
Powerful Python for services, data, and operations
From REST APIs and ETL jobs to event-driven automations, we design Python systems that are fast, reliable and easy to monitor. We use FastAPI for typed, documented endpoints and lean libraries for jobs/queues. ML/AI can be added to ehance your business operations.
We integrate with your PHP/JS/mobile apps and can add AI & RAG where it improves outcomes.
Capabilities
What we build with Python
FastAPI Services
Typed REST endpoints, OpenAPI docs, auth, rate limits, and structured logging.
Data Pipelines & ETL
Batch/stream ingestion, transformations, validations, and warehouse loads on schedules or events.
Automations & Workers
Queues/jobs for file processing, webhooks, notifications, and reconciliation tasks.
Analytics & Reporting
Query services, KPIs, CSV/Excel/PDF exports, and BI-friendly schemas that stay fast.
ML/AI
Embeddings/hybrid search and RAG implementations.
IoT & Telemetry
MQTT/REST/MODBUS/OPC UA ingestion, time-series storage, thresholds/alerts, and device monitoring.
Approach
Typed, testable, observable Python
We keep codebases lean and explicit: Pydantic models when needed, dependency injection where it helps, and clear worker boundaries. Jobs and APIs get consistent logging and metrics so you can see what’s happening in production.
- Type hints & Pydantic models for accuracy and speed
- Async I/O where it matters; sync where it keeps code simpler
- Background workers/queues for slow work and retries
- Structured logs, metrics, tracing, and alerting
- CI/CD with comprehensive test plans and analysis

Typical flow: ingest → validate → transform → store → serve to apps & reports.
Interoperability
Works with your ecosystem
Data Stores
PostgreSQL/MySQL, Redis, S3/object storage, parquet/Delta for analytics, time-series DBs.
Messaging
Queues & event buses (e.g., SQS, RabbitMQ, Kafka patterns) for resilient processing.
Identity & Security
OIDC/SSO, JWT/session hygiene, encryption, and secrets management with least-privilege IAM.
Frontends & Apps
React/Next.js, mobile (native/React Native/Flutter), and partner integrations via APIs/webhooks.
We design for retries, idempotency, and reconciliation so systems-of-record stay consistent.
Use cases
Where Python shines for our clients

Typed APIs with FastAPI
Clear contracts and performance that scales—perfect for web, mobile, and partners.
OpenAPI Pydantic Async
ETL & reporting pipelines
Ingest, validate, transform, and export to warehouses and BI—nightly or real time.
Pandas Parquet S3
Automations & workers
File processing, webhooks, and notifications—safe retries, idempotency, and metrics.
Queues Idempotent ObservableWhy teams choose Morton Technologies for Python
Senior engineers, predictable delivery, and systems your team can trust.
Maintainable by design
Readable modules, tests, and docs—onboarding is faster and safer.
Performance that matters
Profiled hotspots, async where it helps, and caches that move real metrics.
Security & auditability
Least-privilege IAM, secrets handling, change logs, and exportable evidence for audits.
FAQ
Python questions we get a lot

Ready to ship Python services and pipelines?
Share your goals—APIs, ETL, or automation—and we’ll map the quickest, sanest path to production.