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Hi, I'm Janis — I build data things that work

I enjoy making data useful, building reliable pipelines, and helping teams get the answers they need. I like to keep things simple, practical, and efficient. If you want to chat about data, tech, or just say hi, feel free to reach out!

Email: janis.freimanis@hey.com

About me

I'm a data & analytics engineer based in Riga, Latvia. My background spans analytics, business development, and compliance across tech and finance. I love solving real-world problems with data, and I'm always learning something new.

Skills: Python, SQL, Data Engineering, Machine Learning, GCP, Docker, Git

Core Values:

  • Efficiency: I strive for optimal and effective ways to achieve goals
  • Accountability: I take responsibility for actions and their outcomes
  • Quality: I'm committed to precision and excellence in my work

Recent Work

I specialize in developing and maintaining efficient, SQL-based data pipelines within GCP, primarily using BigQuery and Dataform, to enhance operational efficiency and provide reliable insights for teams.

My expertise includes: - Building robust, manageable data transformation workflows - Creating insightful, interactive dashboards with Looker Studio - Setting up data ingestion from various sources into BigQuery - Automating reporting processes for KPI tracking

View my portfolio →

Get in touch

Interested in working together or have questions about data engineering on GCP? I'd love to hear from you!