Kristian Svedal

WORK HISTORY

EDUCATION

ABOUT KRISTIAN SVEDAL

Currently working for and with:ASKO and NorgesGruppen Data. Other clients I have worked with:Tet Digital, Ruter, LOfavør / Sparebank1, SOS-barnebyer, Apotekforeningen.Solutions I have built / helped build and some stuff I have done- Onboarding and coaching other engineers in a data mesh context, in DevOps practices, tooling and more- Architected and developed a data platform (greenfield) in a startup / scaleup, delivering reporting and insights on SaaS metrics such as MRR, ARR, CLV, CAC, marketing funnel (attribution and conversion of website visitors to paying customers by ad channel, campaign ++)- Developed a membership registration solution for a loyalty program organization, including data modeling, implementing a normalized data model (relational database as part of backend), developed tens of data pipelines, orchestration / workflows automation, reporting on data quality issues, researched and tested solutions for REST API ++- Developed template repos, such as Prefect template repo for orchestration using Copier (for other teams)- Developed data contracts in YAML, working on specification in JSON schema format and developed a Gitlab CI pipeline including Python-script to automatically validate Git-versioned data contracts- Worked with sensor data in the public transport sector in a data mesh context, working with IaC (Terraform) to provide necessary resources for AWS and Snowflake, further transformation in dbt for data products- For an NGO, I migrated data from on-premises SQL Server to Azure and helped architect and developed a data warehouse in Azure with BI tool as frontend, and trained in-house analysts and data scientists in data modeling- Automated information extraction from text, including pre-processing (functions for cleaning, data normalization) of a library of PDF-documents with NLP (pre-LLM era using R)- Written a master thesis about customer data privacy concerns analyzing WOM from social media data using NLP (R).Experience - roles: Various roles and tech stacks within IT and data (e.g. AWS, Azure, GCP, on-premise Windows servers, Linux servers). Lead Engineer, data lead, data engineer, data analyst, data scientist (in-house), architect, developer. Consulting and in-house.Education: Double-Degree MSc specializing in data science in marketing - combining research methods, data analysis and visualization, machine learning, econometrics, programming and databases with marketing analytics. Additional university computer science courses taken, as well as various certifications and courses with IT and data.