DATA ENGINEER / ROXTEC
Data Engineer at Roxtec
Ideas are only the start. Engineering makes them useful.
At Roxtec, I build and maintain data integrations, pipelines, dashboards, and cloud infrastructure, including tools for monitoring pipelines and viewing live production data.
Before moving into data engineering, I developed software at Ericsson and worked as a Nexer consultant on assignment at Telenor. I hold an MSc in Software Engineering and created pylint-ml, an open-source Pylint plugin for machine-learning and data-science code.
Experience across data engineering, telecom software, API integrations, and applied software-engineering research.
Working across data engineering for Roxtec, from solution design through implementation and ongoing maintenance.
On assignment at Telenor, developed a Java API integrating with Swedish fibre providers and national network associations.
Developed and tested software for a telecom charging and billing solution.
At Roxtec, I build data integrations and warehouse solutions, and develop dashboards for pipeline monitoring and live production data.
Build data integrations and implement, test, deploy, and maintain the data warehouse, including IAM permissions and data quality.
Use an analytics dashboard to monitor the data warehouse and gain insights from its data.
Visualize live streaming data from industrial equipment in a production dashboard.
Optimize queries and data extraction to help reduce warehouse costs.
A selection of open-source, research, and student projects, alongside professional work in my experience.
Created pylint-ml, an open-source Pylint plugin that adds checks for machine-learning and data-science-specific code patterns.
View on GitHubDeveloped a Java API integrating with Swedish fibre providers and national network associations while on assignment through Nexer.
At Ericsson, I developed and tested software for a telecom charging and billing solution, contributing to both implementation and quality.
Explored ways to automate the identification of machine-learning-specific code smells as part of my Software Engineering thesis.
Read the thesisCompared Linear Regression, LSTM, and SARIMAX approaches to currency forecasting, with attention to hyperparameter tuning.
Explored using AWS to simulate charging stations and provide real-time feedback, with an emphasis on cloud scalability.
Researched healthcare applications for smart devices, focused on the early detection of heart failure.
Applied Google Dialogflow in a mobile application to support customer interactions through a chatbot.
Cloud services, infrastructure tooling, languages, and engineering practices I’ve used in my work.
A practical selection of tools used across my data, software, and open-source work.
I also produce music. It’s a creative counterbalance to engineering and a reminder that experimentation is part of making anything worthwhile.
For professional opportunities, please reach out by email or connect with me on LinkedIn. I’d welcome a conversation and the chance to hear more about what your team is working on.
