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Work history overview
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Airbus Defence and Space
Software Engineer
Paris, France

Overview
Built analytics data products and cloud migration workloads for aerospace and defense operations.
Details
Implemented data ingestion from heterogeneous sources using SQL, Python, and analytics APIs to deliver trusted Tableau-ready views.
Led migration from Oracle to Redshift using Amazon Athena and S3, improving performance and reducing annual infrastructure cost.
Building reliable data systems with a product mindset.
From ETL pipelines to cloud infrastructure, I design systems that scale and stay operable.

Work Experience
Companies and cities where I’ve built data platforms and infrastructure.
Airbus Defence and Space — Software Engineer
Paris, France
Built analytics data products and cloud migration workloads for aerospace and defense operations.
Delivered reliable ingestion and BI-ready views for product and reporting teams.
Implemented data ingestion from heterogeneous sources using SQL, Python, and analytics APIs to deliver trusted Tableau-ready views. Led migration from Oracle to Redshift using Amazon Athena and S3, improving performance and reducing annual infrastructure cost.
Finnair — Data Engineer
Vantaa, Finland
Built governed enterprise warehousing foundations for airline operations.
Established secure, scalable data-platform patterns for cross-functional analytics use cases.
Designed and implemented a centralized Snowflake warehouse and introduced Data Vault 2.0 modeling for scalable change-resilient architecture. Implemented secure encryption standards for data at rest/in transit and contributed to governance controls including data quality, lineage, and cataloging.
Relex Solutions — Senior Data Engineer / Data Platform Architect
Helsinki, Finland
Designed and launched the first self-service data platform and warehouse architecture.
Combined architecture leadership with hands-on delivery across platform, governance, and operations.
Led the architecture and implementation of RELEX's first data platform and warehouse stack across Azure and Snowflake. Managed data lifecycle and governance standards, onboarded internal teams into the warehouse, and led a small platform engineering team. Automated infrastructure provisioning with Terraform, production delivery with GitLab CI/CD and Kubernetes, and observability with Prometheus and Grafana.
Mapbox — Software Development Engineer II
Seattle, USA
Built resilient data pipelines and optimized cloud data infrastructure for internal teams and customers.
Improved data reliability, validation, and cloud efficiency across production AWS workflows.
Designed and developed production-grade data pipelines to ingest, transform, and deliver data for internal and customer-facing workloads. Implemented integration, performance, and data-validation testing using Spark. Collaborated closely with cross-functional stakeholders and optimized AWS infrastructure and CI/CD workflows (GitHub Actions), improving reliability while reducing platform cost.
KONE — Senior DevOps Platform Engineer
Hyvinkää, Finland
Senior DevOps Platform Engineer in the Critical Safety Software Team, responsible for modern CI/CD architecture, release governance, and platform reliability.
Led migration from Helix TeamHub to GitLab and standardized release engineering across development, validation, and production-readiness workflows.
Designed and modernized end-to-end CI/CD pipelines, including release, test-release, and release-candidate automation. Implemented automated unit and integration test gates and aligned delivery controls with TÜV Germany expectations and ISO-oriented compliance processes. Modernized observability by automating data ingestion and transformation from JAMA into Grafana through AWS and Prometheus. Built custom connectors between JAMA and AWS PostgreSQL to monitor requirements coverage, test cases, and test execution quality. Also introduced AI-assisted code review to improve consistency and engineering velocity.
Fortum — Senior Data Engineer
Espoo, Finland
Senior Data Engineer in the Central Platform Team, focused on Databricks-based pipeline engineering and platform-level optimization.
Built scalable ingestion and transformation workflows with strong focus on reliability, observability, and cost efficiency.
Developed and maintained Databricks-centric data pipelines for shared platform use cases. Implemented automated cost-monitoring and operational dashboards to improve spend governance, detect inefficiencies early, and support high-throughput analytics workloads across internal teams.
Featured Projects
Selected work in data engineering, DevOps, and infrastructure.
01
Real-Time Analytics Platform
Stream processing pipeline handling 5TB/day with sub-second latency
02
Data Lakehouse Migration
Migrated 200TB legacy warehouse to Databricks lakehouse architecture
03
MLOps Infrastructure
End-to-end ML platform with automated training, deployment, and monitoring
04
Infrastructure Cost Dashboard
Real-time cloud cost monitoring and optimization dashboard
Let’s build something together
I’m currently open to freelance and full-time opportunities in data engineering and cloud infrastructure. Reach out and let’s discuss how I can help.