Andi Zimmerer

E-mail:

andreas.HIDDEN JUNKzimmererHIDDEN JUNK@HIDDEN JUNKutn.HIDDEN JUNKde

I am a doctoral researcher at the Data Systems Lab at the University of Technology Nuremberg (UTN) working with Prof. Andreas Kipf. My interests lie in optimizing database storage, secondary index structures for data pruning, and high-performance systems programming.

Before that, I worked for three years at Snowflake Inc. as a database software engineer on search optimization, optimizing top-k queries [1][2], and data pruning.

I earned my M.Sc. with honors as part of the Software Engineering Elite Graduate Program from the Technical University of Munich (TUM), the University of Augsburg, and the Ludwig Maximilian University of Munich (LMU) where I specialized in data processing systems. My thesis on automated data partitioning for dynamic analytical workloads was written at MIT’s Data Systems Group under the supervision of Prof. Tim Kraska.

[LinkedIn] [GitHub] [Bluesky] [Google Scholar]

Selected Publications

Pruning in Snowflake: Working Smarter, Not Harder

Andreas Zimmerer, Damien Dam, Jan Kossmann, Juliane Waack, Ismail Oukid, and Andreas Kipf

In Companion of the 2025 International Conference on Management of Data (SIGMOD-Companion ’25), June 22–27, 2025, Berlin, Germany, 2025

DOI arXiv Bib PDF Blog

@inproceedings{Zimmerer2025Pruning,
  title = {Pruning in Snowflake: Working Smarter, Not Harder},
  author = {Zimmerer, Andreas and Dam, Damien and Kossmann, Jan and Waack, Juliane and Oukid, Ismail and Kipf, Andreas},
  editor = {Markl, Volker and Hellerstein, Joe and Abouzied, Azza},
  booktitle = {Companion of the 2025 International Conference on Management of Data ({SIGMOD}-Companion '25), June 22--27, 2025, Berlin, Germany},
  publisher = {{ACM}},
  year = {2025},
  url = {https://doi.org/10.1145/3722212.3724447},
  doi = {10.1145/3722212.3724447},
}