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

SemBench: A Benchmark for Semantic Query Processing Engines

Jiale Lao, Andreas Zimmerer, Olga Ovcharenko, Tianji Cong, Matthew Russo, Gerardo Vitagliano, Michael Cochez, Fatma Özcan, Gautam Gupta, Thibaud Hottelier, H. V. Jagadish, Kris Kissel, Sebastian Schelter, Andreas Kipf, and Immanuel Trummer

CoRR, 2025

Bib PDF Code Website

@article{lao2025sembench,
  author = {Lao, Jiale and Zimmerer, Andreas and Ovcharenko, Olga and Cong, Tianji and Russo, Matthew and Vitagliano, Gerardo and Cochez, Michael and {\"{O}}zcan, Fatma and Gupta, Gautam and Hottelier, Thibaud and Jagadish, H. V. and Kissel, Kris and Schelter, Sebastian and Kipf, Andreas and Trummer, Immanuel},
  title = {SemBench: {A} Benchmark for Semantic Query Processing Engines},
  journal = {CoRR},
  volume = {abs/2511.01716},
  year = {2025},
  eprinttype = {arXiv},
  eprint = {2511.01716},
}

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/PODS 2025, Berlin, Germany, June 22–27, 2025, 2025

Bib PDF Blog Slides

@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, Joseph M. and Abouzied, Azza},
  booktitle = {Companion of the 2025 International Conference on Management of Data, {SIGMOD/PODS} 2025, Berlin, Germany, June 22--27, 2025},
  pages = {757--770},
  publisher = {{ACM}},
  year = {2025},
  url = {https://doi.org/10.1145/3722212.3724447},
}

Invited Talks

2026	Pruning in Snowflake: Working Smarter, Not Harder DEEM Lab at BIFOLD / TU Berlin
2025	Pruning in Snowflake: Working Smarter, Not Harder Joint Database Systems Seminar with TU Darmstadt, HPI, and UTN
2025	Pruning in Snowflake: Working Smarter, Not Harder TUMuchData
2023	Industry vs. Research DBMS: Exploring Key Differences Elite Graduate Program at University of Augsburg Talk initially given by Markus Dreseler at VLDB.
2021	How to Become a Contributor to Big Open-Source Communities Google Developer Student Club Munich
2020	A Hitchhiker's Guide to WebAssembly Google Developer Student Club Munich
2017	The Most Efficient Electric Vehicle in the World TNG Big Tech Day