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Philip Dießner Location
Hamburg, HH, DE
Philip Dießner Work
Data Engineer and AI Engineer @ (January 2022 - Present)
AI Engineer (via Dataflowz) @ (June 2026 - July 2026)
Data and DevOps Engineer (via Dataflowz) @ (June 2022 - April 2026)
Data Engineer (via Dataflowz) @ (April 2022 - May 2022)
Data Scientist and Data Engineer @ (March 2019 - December 2021)
Data Scientist and Data Engineer @ (February 2021 - November 2021)
Data Scientist @ (April 2020 - December 2020)
Data Engineer @ (April 2019 - January 2020)
Postdoctoral Researcher @ (November 2016 - October 2018)
PHD Graduate Researcher @ (April 2013 - October 2016)
Philip Dießner Education
Technische Universität Dresden
Doctor of Philosophy - PhD
2013-2016
Technische Universität Dresden
Diplom
2007-2012
Philip Dießner Skills
Agentic AI Development
Amazon Web Services (AWS)
Apache Kafka
Apache Spark
Artificial Intelligence (AI)
Computer Vision
Data Analysis
Data Analytics
Data Build Tool (DBT)
Data Science
Databricks
Deep Learning
Docker Products
Domain-Driven Design (DDD)
Extract, Transform, Load (ETL)
Flask
Google Cloud Platform (GCP)
Grafana
Kafka Streams
Keras
Kotlin
Kubernetes
LaTeX
Machine Learning
Mathematics
Microsoft Azure
MongoDB
OpenCV
Pandas (Software)
Particle Physics
Pentaho
Predictive Modeling
Python (Programming Language)
Relational Databases
Research
SQL
Scikit-Learn
Snowflake
Statistical Modeling
TensorFlow
Terraform
Philip Dießner Summary
Philip Dießner, based in Hamburg, HH, DE, is currently a Data Engineer and AI Engineer at Dataflowz GmbH. Philip Dießner brings experience from previous roles at Kramp, Essent, BIKE & OUTDOOR COMPANY GmbH & Co. KG and Silpion AI Lab GmbH. Philip Dießner holds a 2013 - 2016 Doctor of Philosophy - PhD @ Technische Universität Dresden. With a robust skill set that includes Agentic AI Development, Amazon Web Services (AWS), Apache Kafka, Apache Spark, Artificial Intelligence (AI) and more. Philip Dießner has 1 emails on RocketReach.
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