Tekyous
2026Coming soon 😎
I do all things data.
I make business and IT worlds come together by developing full-stack data solutions:
Bridging the worlds of business and IT
With a finance background, I've evolved into a data specialist with 8+ years of experience across different data and systems positions. I combine business acumen with technical expertise to deliver end-to-end solutions.
Click an industry to see related projects
Data patterns transfer across industries - whether it's financial transactions, IoT sensors, or social media analytics. But context matters: I always work closely with domain experts to understand the specific business needs behind every technical solution.
Full-Stack Data Solutions Pipeline
I handle the entire process end-to-end
But also tackle specific parts based on your needs
And I work with both small businesses and big enterprises
Selected data work
End-to-end
Small companies
Large Organizations
From first conversation to a deployed solution
We discuss your challenges, goals, and current setup to understand how to turn data into a real business value.
I analyze opportunities and present a clear action plan with scope and timeline.
Iterative building with regular check-ins to ensure we're on track.
Handoff with documentation and support to ensure smooth adoption.
Real solutions I've built - from corporate systems to personal tools, all with defined goals and solving existing problems
Coming soon 😎
A web application helping people find monthly rental accommodations in Chiang Mai, Thailand. Features an interactive map displaying verified properties with filters and detailed information.
Santander Bank Poland
Automated generation of a comprehensive C-level Credit Risk report, replacing a semi-manual Excel-based process and significantly reducing the time required from days to hours.
Solution first, technologies second.
There's no tech stack without a real business problem in the first place.
Backbone technologies, with Python being the main tool for all data things possible.
Primary language for data engineering, automation, and web development
Database querying, data modeling, and analytics
Data manipulation and analysis
Interactive visualizations and dashboards
Exploratory data analysis and reporting
Good old Excel. Usually I make processes Excel-free, but sometimes you have to use it
Different flavors of databases used extensively before, like Teradata, MS SQL, Oracle, or InfluxDB for time-series data. Nowadays it's mostly PostgreSQL and Supabase.
Primary database, staple nowadays
Backend-as-a-service with PostgreSQL
Workflow orchestration and ETL pipelines. Heavyweight.
Unix-based task scheduling. Lightweight.
Prototyping and simple data apps
Interactive dashboards and reports
Python web framework
Modern Python API framework
Currently LearningProgressive JavaScript framework
Currently LearningYes, it's python all over again.
Workflow automation platform
Currently LearningVersion control
Containerization and deployment
Self-hosted server management
Cloud infrastructure and services
Currently LearningPrimary code editor
AI-powered development environment
AI pair programming assistant
Thoughts on data, technology, and building solutions
Want to harness some data together? Let's talk.