Hetki.ai – NLP Service Productization (04/2022)
Client: Hetki.ai (Finnish startup)
Responsibilities: Worked with Hetki to improve the performance of an NLP API ahead of launching their product
Key technologies: Python, machine learning, API development, Google Cloud
Banking - Azure Machine Learning Engineering (09/2021 - present)
Client: IT Services Provider, Banking R&D
Responsibilities: Working alongside Data Scientists to structure, scale, and publish Machine Learning solutions
Key technologies: Azure Machine Learning, Python, Databricks, other Azure data technologies
Retail - AWS Data Engineering (09/2021 - present)
Client: Large Finnish retail company
Responsibilites: Data Engineer in a team modernizing data warehousing and reporting for client's wholesale division.
Key technologies: Amazon Web Services, Terraform, Snowflake, Agile Data Engine
Examples of previous projects
Video retention analytics in AWS (05/2021 - 09/2021)
Client: Yle (Finnish Public Broadcasting)
Responsibilites: I created a solution for Yle’s journalists to analyze the retention of their news video clips. This involved creating relevant Redshift queries, creating an API using Clojure hosted in ECS, and creating visualizations both in Tableau and on a custom dashboard website.
Lead Architect, Azure data platform (06/2019 - 05/2021)
Client: Public education administration
Responsibilites: I led the design and building of a data platform for improving education for students, teachers and administration. Main contributions:
Designed the architecture from the ground-up
Created the project’s Terraform structure and set up most resources
Created event-driven data pipelines with for example Databricks, Azure Event Grid. and Azure Functions.
Collaborated with multiple other project streams for a smooth data flow from source systems to end-user systems.
Key technologies: Azure, Databricks, Data Lake Storage, Terraform, Azure SQL Database, Kubernetes
DevOps Architect (2018 - 2019)
Client: Helsinki public transportation company
Responsibilites: I worked in a variety of DevOps initiatives:
Kubernetes architecture design for replacing another container orchestrator
Azure infrastructure setup and support for a travel-time analytics solution
Improving client’s Ansible-based project setup automation, for example added support for Key Vault and Azure Database for PostgreSQL
Key technologies: Azure, Ansible, Linux, Kubernetes, GitLab
Production-ready customer analytics (2018 - 2019)
Client: Retail company
Responsibilites: I was brought on when the client wanted to push a proof-of-concept solution to production. I worked with the original project team to define the production Azure infrastructure and define robust development practices. I also created the data pipelines required for updating the PowerBI visualizations.
Key technologies: Azure, Databricks, Data Factory, Azure SQL Database, PowerBI
Data business consultant (2018)
Client: Large Finnish bank
Responsibilites: I worked in multiple data product development initiatives:
Productizing open data API’s
Data product development in collaboration with a major retail company
Data strategy definition
Keywords: API strategy, open banking, data product management
Data team lead and architect (2017 - 2018)
Client: Large Finnish bank
Responsibilites: I led the project work of a team of data engineers, architects and backend developers numbering 11 people at most. I worked with the client-side representatives to define the backlog, then led the architecture design together with the delivery team.
Key technologies: Azure, Data Lake Store, HDInsight, CosmosDB, various databases