Define requirements
Turn initial needs and user feedback into testable operational behaviour, including the physical constraints behind an interface.
See the antenna-tracking case studyEngineering systems · Technical ownership · Delivery
Antoine Gabry
Flight Test Data Analysis Engineer — Kopter Group AG, Zurich
I build, own and operate the technical systems engineering teams depend on — from Python and PostgreSQL data platforms to operational tools — and increasingly take the requirements, architecture and delivery decisions around them. I currently do that in helicopter flight test at Kopter Group.
In production
700+flights processed across the broader platform historyFlight-Test Data Operations →Zerooperational downtime during the corporate-IT cutoverEngineering Infrastructure Integration →~2 hpost-landing data turnaround the architecture had to protectEngineering Infrastructure Integration →2 siteswhere the antenna-tracking replacement is in operational useAirspace Visibility →
Selected work
Where the work is documented in detail.
Each case study covers the problem, the technical decisions, the architecture and how the system behaves in operation.
Professional project
Flight-Test Data Operations
Architecture, development and daily production operation: event-driven orchestration, a priority and dependency model, parallel execution and PostgreSQL execution history.
~15 planned tasks per flight · processed data used by 50–75 engineering users · daily production operation
Read the case study →Professional project
Engineering Infrastructure Integration
Engineering-side requirements, architecture selection and technical acceptance; after the external consultants departed, delivery coordination across corporate IT, network, cybersecurity and cloud teams, including resolution and escalation of cross-organisational blockers.
Multi-year workstream · three architecture options assessed · ~15 servers and workstations in scope · legacy access retained through acceptance
Read the case study →Professional project
Airspace Visibility
Clarified requirements with instrumentation users, designed and built a decoupled Python replacement for a legacy antenna-tracking tool, then supported operational validation and handover.
10 Hz antenna position feed · validation from replay through live flights · documented operational handover
Read the case study →Personal project
Swiss Parking Intelligence
A public-data product built and run end to end: city-specific adapters, PostgreSQL history, short-term forecast evaluation, a Flask/Leaflet interface and VPS operations.
5 Swiss cities · ~90 facilities · history since approximately September 2025 · live at findparking.ch
Read the case study →Also documented
- Flight-Test Intelligence — A self-initiated PostgreSQL analytical platform, first implemented in late 2022, with automated ingestion and a shared Python access package.
How I contribute
Transferable engineering capabilities.
Make architecture decisions
Compare technical options against operational, cybersecurity and administrative constraints, then select an engineering-side solution.
See the infrastructure case studyBuild and operate
Design, develop and run production systems with visible execution state, priorities, dependencies and failure handling.
See the data-operations case studyCoordinate and hand over
Keep specialist teams aligned through technical acceptance and cutover, and document systems so operators can use and diagnose them independently.
See the operational handoverExperience
From flight-physics internships to owning flight-test data operations.
Jun 2022 – Present
Flight Test Data Analysis Engineer
Kopter Group AG · Zurich, Switzerland
- Own the architecture, development and production operation of Python and PostgreSQL systems that turn high-rate flight-test sensor data into engineering results.
- Represent flight-test engineering in requirements, architecture selection and technical acceptance for integrating a segregated engineering environment into corporate IT; coordinate specialist teams through blockers and cutover.
- Current data operations support flight-test engineering investigations; earlier Kopter roles covered aircraft-performance analysis, MATLAB tooling, simulation validation against measured data and certification support.
Earlier roles at Kopter
- Mar 2022 – Jun 2022Flight Physics Trainee – Performance Team
Supported helicopter performance analysis by developing MATLAB tools for engine behavior, installation losses and air-intake-efficiency studies.
- Apr 2021 – Oct 2021Flight Physics Trainee – Flight Mechanics Team
Developed MATLAB tools and validation scripts to improve flight-mechanics analyses and simulation accuracy.
- Feb 2020 – Jul 2020Flight Physics Trainee – Data Analyst
Developed a MATLAB application for processing and analyzing flight-test data to support engineering investigations and performance assessments.
Technical environment
What the work is built with.
Data and software
PythonPostgreSQLSQLDashFlaskPlotlyMATLAB
Systems and operations
Workflow orchestrationBackground workersData pipelinesDashboards and reportingProduction engineering systemsVPS deployment
Engineering
High-rate sensor and test dataSystem / aircraft performance analysisSimulation validation against measured dataCertification support (CS-27 / AC-27)Real-time positional data and hardware interfaces
Delivery
Requirements definitionArchitecture evaluation and selectionTechnical acceptanceCross-functional coordinationBlocker resolution and escalationCutover planning and operational handoverDocumentation and training