22.04.2026 aktualisiert
Premiumkunde
100 % verfügbarSenior Data Engineer | Databricks | Azure
Vienna, Österreich
Weltweit
Dipl. -Ing. Data ScienceÜber mich
Senior Data Engineer. Expert in Databricks and Azure Cloud. Diplom-Ingenieur in Data Science from Technical University of Vienna.
Skills
Data AnalysisGoogle CloudGitLabInfluxDBDatabricks
Cloud:
- Azure
- Google Cloud
- On prem
Programming Languages:
- Python
- SQL
- C#
- GoLang
- R
- JavaScript
Databases:
- Postgres
- MS SQL Server
- OracleDB
- InfluxDB
- Elasticsearch
- TimescaleDB
Data Engineering:
- Databricks
- Spark / PySpark
- Airflow
- Kafka
- dbt
- Lakeflow Declarative Pipelines
- Terraform
Machine Learning:
- NLP
- Deep Learning
- Pandas
- Keras
- TensorFlow
- Scikit-learn
- Generative AI / LLM
Data Analysis:
- Qlik / Qlik Sense
- Grafana
- Power BI
- Prometheus
Version Control:
- Git
- Github
- GitLab
- Azure DevOps Server
Devops:
- Docker
- Kubernetes
- Docker Swarm
- Linux
- ArgoCD
Project Management:
- Jira
- Confluence
- Azure DevOps Agile Board
Sprachen
DeutschgutEnglischMuttersprache
Projekthistorie
• Delivered data ETL and analysis solutions for diverse clients, utilizing expertise in data extraction, transformation, and analysis techniques to address their unique data challenges.
• Developed a high-scalability system that monitors more than 100k hosts, updating Thruk services states by utilizing data from diverse metrics databases.
• Acted as a data specialist for multiple clients, successfully analyzing databases containing tens of millions of records.
• Orchestrated the deployment of applications across various stages by constructing robust pipelines and containerizing the applications.
• Developed a high-scalability system that monitors more than 100k hosts, updating Thruk services states by utilizing data from diverse metrics databases.
• Acted as a data specialist for multiple clients, successfully analyzing databases containing tens of millions of records.
• Orchestrated the deployment of applications across various stages by constructing robust pipelines and containerizing the applications.
* Developed a real-time WebRTC video conference logging system analyzer capable of handling
thousands of daily calls. This system provided actionable insights to the development and testing team,
resulting in a 30% improvement in bug detection.
* Developed multiple microservices for the healthcare AI system that became the signature product of
the company.
thousands of daily calls. This system provided actionable insights to the development and testing team,
resulting in a 30% improvement in bug detection.
* Developed multiple microservices for the healthcare AI system that became the signature product of
the company.