Software development services from the world of tomorrow
Brainflight is a one-man software development consultancy specializing in cloud and data
Crafting technology for a better tomorrow
Software consultant, owner
I design and build solutions in the intersection of cloud and data. I've been working with digital strategy and solutions since 2014 and implementing data platforms in multiple industries and various public clouds since 2017.
With roots in both strategy consulting and tech, my biggest strength is versatility - I'm comfortable both designing new initiatives with business representatives and implementing them with developers.
I'm most interested in projects with systemic impact, e.g. in education, energy, and healthcare.
Wherever you are in your journey, I can help you
Not sure where to start with your data initiatives? I can help you identify good areas for using your data and form a roadmap to take things forward.
I have built data platforms in Azure and AWS, both from ground up and improving existing architecture, in multiple industries with different demands.
Experience from 7+ years of successful deliveries in data engineering, machine learning engineering, and full stack web development.
Successful deliveries across technologies and industries
- IT Services
- SaaS Startup
Roles and responsibilities
- Data Engineering
- Full Stack Development
- Machine Learning Engineering
- Cloud Engineering
- Cost Optimization
- Azure SQL
- Azure Machine Learning
- Agile Data Engine
- Power BI
Web app lifecycle upgrade
1/2024 - Present
Modernizing a web application and migrating its runtime platform to Azure Kubernetes Service.
Primary goal is to improve maintainability by streamlining the app's codebase and architecture, and to create a strong foundation for new feature development.Architecture Full Stack Development Azure Kubernetes Docker TypeScript
Power BI Embedded autoscaling
1/2024 - 1/2024
PoC for setting up autoscaling for client's Power BI Embedded capacities.
We evaluated whether it was possible to save costs by scaling capacity based on current usage while maintaining a good user experience. Within a short timeframe, we were able to discover what options and limitations Power BI Embedded has in client's use case.Cost Optimization DevOps Azure Power BI Terraform
Previous Brainflight assignments
Open Data Portal
10/2022 - 1/2024
Developed new version of client's Open Data portal from designs to production.
The new version has improved user experience and a more maintanable application architecture as part of client's technology landscape.Architecture Full Stack Development Azure TypeScript Next.js Express Azure SQL
Azure data platform setup
5/2023 - 9/2023
PoC for setting up an Azure & Snowflake cloud data platform.
We evaluated if a cloud data platform would be a good alternative to client's existing on-premise solution from security, performance, cost, and developer experience perspectives.Architecture Cybersecurity Cloud Engineering DevOps Azure Snowflake Terraform
AWS data platform setup
9/2021 - 5/2023
Our small team modernized the client's data and reporting platform by migrating existing solution to AWS, Snowflake and Power BI.
Project highlights were close collaboration with client stakeholders and successful delivery of value in small packages. We received special thanks for the maintainability of our solution and high quality of documentation, making handover very efficient.Cloud Engineering Data Engineering AWS Lambda Python Terraform Snowflake Agile Data Engine
Banking service development
9/2021 - 10/2022
Worked as part of client's team developing new ML-based banking services.
My main responsibility was to bring data scientist's models to production by improving code quality, testing and performance.
I also worked on the architecture and development of the backend and data processing, and participated in setting product strategy.Machine Learning Engineering Architecture DevOps Data Engineering Azure Azure Machine Learning Databricks Python Terraform
Improving efficiency of machine learning solution
4/2022 - 4/2022
Worked with client to improve the runtime efficiency of their machine learning solution.
Within a short timeframe we were able to locate and fix a severe bottleneck in the solution, improving response time considerably.Machine Learning Engineering GCP Python Docker