About Matthieu
Senior Software Engineer with 9+ years of experience building distributed backend systems and data infrastructure in fintech and aviation. Experienced in designing event-driven architectures, scalable APIs, and developer platforms.
Passionate about building reliable systems that move and process data at scale while improving developer productivity.
How I can help:
- Design and review of scalable, cost-efficient data architectures
- Reliability engineering for data & AI platforms (stability, incident reduction, resilience)
- Observability improvements: monitoring, alerting, and data & AI platform visibility
- Cost optimization: cost analysis on your data and AI services, sharing of best practices
I focus on aligning technical solutions with business and financial goals.
Any project with a mix of AI, Software, and Data? Reach out!
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- Dkatalis, Fintech - digital bankStaff Data Platform EngineerBANKING AND INSURANCENovember 2021 - Today (4 years and 7 months)Singapore- Designed and operated a distributed data & ML platform on GCP (Kafka, Airflow, BigQuery, VertexAI) supporting 30M+ banking customers and 50+ internal engineers and analysts.- Designed and built distributed backend services for event-driven ingestion (Kotlin, Kafka, Kubernetes), replacing batch workflows and enabling near-real-time personalization for customer activation and retention.- Reduced GCP infrastructure costs by 30% by improving pipeline observability and optimizing BigQuery workloads.- Extended the internal notification service and its APIs used by product teams to manage customer communications by adding delivery and engagement tracking (Kotlin).- Introduced SRE practices and monitoring to improve system reliability and high-availability for financial regulatoryrequirements. Investigated and resolved production incidents across distributed services.- Collaborated with product and engineering teams to design data services used across the banking platform.
- Singapore AirlinesData Engineering LeadAVIATION AND AEROSPACEJune 2018 - November 2021 (3 years and 5 months)Singapore- Built a self-service data ingestion platform (Python/Flask APIs), reducing data onboarding time from 1 week to 1 hour across 10+ business units.- Designed and operated ML platform CI/CD pipelines (AWS, SageMaker), enabling 20+ data scientists to deploy production models.- Achieved 30% cost savings on the AWS infrastructure by increasing cost visibility, promoting DevOps practices, and implementing usage controls.- Mentored a team of 5 engineers to migrate from a proprietary ETL system to a cloud-native distributed data platform, improving scalability and serving 35 users.
- MentoricaSoftware EngineerMarch 2016 - June 2018 (2 years and 3 months)Singapore• Built a product recommender engine in Python to improve email campaign performance by 20% for a food & beverage
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Education
- Master of EngineeringECE2016Master of Engineering
Certifications
- CKAD: Certified Kubernetes Application DeveloperThe Linux Foundation2024
- AWS Certified Solutions Architect – ProfessionalAmazon Web Services (AWS)2024