Recordly
Rasmus Toivanen is a Data/ML Engineer at Recordly with experience in working on projects involving various technologies such as Azure, Kubernetes, Airflow, Postgres, SQL, Apache Kafka, Power BI, Python, Great Expectations, Pyspark on Azure Databricks, Azure Blob Storage, Azure Data Factory, Azure Devops, AWS services, Matillion, Snowflake, Tableau, and more. Rasmus has a background in Industrial Engineering and has worked in roles such as Machine Learning Engineer, Master Thesis Worker, Marketing Assistant, Production Development trainee, Process Operator, Switchboard Controller, and Palveluvastaava.
Recordly
Recordly is a pioneering data company specializing in data engineering for business data. We help companies create a competitive edge from data.