Python, Data & SQL
We build the engines behind your business: reliable APIs, data pipelines, automation scripts and databases designed to stay fast as your data grows.
Operations overview
Generation
12.4 TWh
+6.2% vs last year
Availability
97.8%
+0.9% vs last year
Outages
14
−22% vs last year
Open work orders
236
−8% vs last year
Monthly output
By region
Illustration of a typical Python, Data & SQL solution.
What you get
- Systems that talk to each other through clean APIs
- Manual data work replaced by scheduled automation
- Databases that stay fast under real load
- Dashboards leadership can rely on
What we deliver
Python development
Backends and APIs in Django, FastAPI and Flask.
Automation & RPA
Scripts, scrapers and UiPath bots that remove repetitive work.
Database engineering
Design, tuning and migration for SQL Server, PostgreSQL, MySQL, Oracle and MongoDB.
API & integration
REST and GraphQL APIs connecting CRM, ERP, payment and third-party apps.
Data analytics & BI
Power BI, Tableau, Microsoft Fabric, Snowflake and Databricks.
Custom software
Business applications and internal tools in .NET, C#, Java and Python.
Technology we use
Chosen for your needs and what your team can support after launch.
- Python
- Django
- FastAPI
- SQL Server
- PostgreSQL
- MySQL
- MongoDB
- .NET
- C#
- GraphQL
- Power BI
- Snowflake
How we'll work together
- Step 1
Discover
We learn your goals, users and systems, then agree scope, timeline and cost in writing.
- Step 2
Design
Architecture, user flows and screens you can review before a line of code is written.
- Step 3
Build
Short sprints with a working demo every one to two weeks, so you always see progress.
- Step 4
Launch
Testing, security checks, data migration and a calm go-live with training for your team.
- Step 5
Support
Monitoring, fixes and improvements on a plan that fits your budget.
Related work
Have a project in mind? Let’s build it together.
Tell us what you need. We reply within one working day with next steps and a free consultation.