About Orell
German
Native or bilingual
English
Fluent
Experience
- UndisclosedSoftware & Data Engineering ConsultantFILM AND AVDecember 2024 - Today (1 year and 6 months)Hamburg, Germany
- Improving data-driven decisions by building a reporting system for visualizing KPIs and analysis results.
- Identifying structure, patterns, and anomalies by analyzing extensive JSON data sets with DuckDB and Polars.
- Designing and implementing a performant, scalable data pipeline in Python and DuckDB for processing large amounts of data (>400 GB/day).
- Enabling detailed assessment of the overall system regarding performance through continuous calculation and provision of relevant KPIs.
- Optimizing development processes by implementing a container-based local testing and development environment.
- Lufthansa AGSenior C++ Software ConsultantAugust 2024 - December 2024 (4 months)Frankfurt, Germany
- Creating an application for utilizing laboratory equipment via the STAP protocol using TCP for commercial air traffic.
- Using the application to simulate data traffic in aircraft to create realistic test conditions.
- Conceptualizing and implementing a message server in C++ for the PowerPC laboratory platform to enable communication with avionics equipment in the lab via TCP.
- Supporting relevant data protocols (ARINC 429, ARINC 717, DIO) through the design of a modular and easily expandable system architecture.
- Accelerating local development through containerization of the cross-compiling toolchain using Docker.
- Defining and implementing application-specific extensions to the STAP protocol for additional test and development use cases.
- Lufthansa AGSoftware Engineering ConsultantDecember 2023 - September 2024 (9 months)Frankfurt, Germany
- Long-term assurance of airworthiness: Reading and storing aircraft log files, as well as optimizing processing by enriching metadata.
- Cost savings and efficiency increase by reducing outbound traffic costs by 12% and accelerating search function by 80% through storing metadata in a database for over 8000 processed log archives per month.
- Preparing the application for Machine Learning and AI by conceptualizing and implementing a REST API for data provision.
- Significant acceleration of the CI pipeline by 60% through modernizing the toolchain.
- Leading the conceptualization and implementation of application further development, as well as mentoring the development team.
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Education
- Diplom Engineer Electrical and Information TechnologyTechnische Universität Dresden2018