Giuliana Armellini - Senior Data Engineer

Giuliana Armellini

Senior Data Engineer

Berlin, Germany

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Summary

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Rockstar

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Top School

Giuliana Armellini is a Senior Data Engineer with six years of cross-disciplinary experience applying data science, engineering and transport simulation to real-world infrastructure and energy problems. Based in Berlin, she has led analytics and automation projects at Vattenfall and BEW, cutting processing times dramatically and delivering deployed forecasting models that improved accuracy versus external benchmarks. Her background in transport modelling and contributions to the widely used Eclipse SUMO project reflect strong Python and simulation expertise, while her infrastructure work spans Databricks, Spark, Azure, Docker and AWS IaC. Trilingual in English, German and Spanish, she excels at collaborating across international teams and translating complex technical results into actionable business recommendations. A former civil engineer with top academic marks and recent deep learning coursework from MIT xPRO, she combines domain knowledge in mobility and energy with a practical focus on performance, testing and reproducible pipelines.

6 years of coding experience

4 years of employment as a software developer

Civil Engineering, Civil Engineering at EHU

Master of Science (M.Sc.) Bauingenieurwesen (Civil Engineering), Master of Science (M.Sc.) Bauingenieurwesen (Civil Engineering) at FH Münster

Engineer's degree Civil Engineering, Engineer's degree Civil Engineering at University of Buenos Aires

Course Deep Learning: Mastering Neural Networks, Course Deep Learning: Mastering Neural Networks at MIT xPRO

Spanish, English, German

Github Skills (8)

traffic-simulation10

gtfs10

python10

testing9

pandas9

api8

integrations8

api-design8

Programming languages (2)

JavaPython

Github contributions (5)

eclipse-sumo/sumo

Jan 2020 - Mar 2022

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

Role in this project:

Back-end Developer

Contributions:4 PRs, 96 pushes, 28 comments in 2 years 2 months

Contributions summary:Giuliana contributed to the Eclipse SUMO project by modifying the GTFS import tool, specifically by adding dtype specifications in the gtfs2fcd.py script to address data merging issues. They also refactored the vehicletype domain within the traci library, altering methods for accessing and setting vehicle type properties. Furthermore, they added methods to test the vehicletype and lanearea features, enhancing the testing capabilities of the project.

intermodalpedestriansscenariocontinuousmicroscopic

ArmelliniMG/sumoDRToffline

Jun 2021 - Sep 2021

Contributions:8 commits, 3 pushes, 1 branch in 3 months

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