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Ville Puuska

Experience

  • 2023- Data Engineer, Solita
  • 2017-2023 PhD student/researcher, Tampere University

Data engineering

Interests

  • Streaming data pipelines
  • Distributed data processing
  • Event driven architectures and data pipelines

Tech at work

  • PySpark, Spark SQL, R
  • Azure Data Factory, Databricks

Tech at home

  • Python and a bit of Go and Haskell
  • Airflow, Docker/Podman, DuckDB, Kafka, Postgres

Mathematics

Research and Publications

My research is focused on the algebraic theory of topological data analysis. I'm interested in utilizing (minimal) resolutions to develop computable and interpretable representations and invariants for multiparameter persistent (co)homology and persistence modules more generally.

Education

  • 2017-2023, PhD, Mathematics, Tampere University
    Advisor: Professor Eero Hyry, Tampere University
    Field: Topological Data Analysis
    Thesis: Flat Covers and Cotorsion in Persistence https://urn.fi/URN:ISBN:978-952-03-3058-3
  • 2013-2017, MSc (and BSc), Mathematics, University of Tampere

Ville Puuska's Projects

aoc icon aoc

Advent of Code solutions

journeys-pipeline-dlt-duckdb-polars icon journeys-pipeline-dlt-duckdb-polars

Simple example of an ELT pipeline using dlt for ingesting from the JourneysAPI, DuckDB for intermediate storage, and DuckDB & Polars for transformations.

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