Matthieu Blais, Developer in Singapore, Singapore
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Matthieu Blais

Bio

Matthieu is a data engineer specializing in cloud-based data infrastructure on AWS and GCP, with deep expertise in Python, large-scale data platforms, FinOps, and SRE practices. He's built and scaled data platforms for Singapore Airlines and Jago Bank and contributed to Indonesia's first fully digital bank, growing from 3 million to 20 million customers. Matthieu's experience spans data and software engineering, from infrastructure to powering personalized customer engagement.

Portfolio

Dkatalis
Google Cloud Platform (GCP), BigQuery, Google Kubernetes Engine (GKE)...
Singapore Airline
Amazon Web Services (AWS), DevOps, Redshift, AWS Lambda, AWS Step Functions...
Mentorica
Python, Grails, Amazon Web Services (AWS), SQL, OpenCV, Front-end...

Experience

  • Amazon Web Services (AWS) - 8 years
  • Data Management Platforms - 8 years
  • Apache Airflow - 8 years
  • FinOps - 6 years
  • Apache Kafka - 4 years
  • Data Build Tool (dbt) - 4 years
  • BigQuery - 4 years
  • Google Cloud Platform (GCP) - 4 years

Preferred Environment

Amazon Web Services (AWS), Google Cloud Platform (GCP), Kubernetes, BigQuery, Apache Airflow, Data Build Tool (dbt)

The most amazing...

...project I've built is the Jago Bank data platform, scaling it from 3 million to 20 million users, meeting regulatory requirements, and reaching profitability.

Work Experience

Staff Engineer

2021 - PRESENT
Dkatalis
  • Designed and built the GCP data platform supporting growth from 3 million to 20+ million customers, with the platform and tooling used by 50 engineers and analysts.
  • Developed a real-time data synchronization service using Kafka and Kotlin for an event-driven customer engagement platform, replacing legacy offline processes.
  • Implemented notification tracking and observability to improve customer experience across all communication channels and increase marketing customer engagement.
  • Reduced BigQuery and GKE costs by 30% through targeted performance tuning and job optimization.
  • Reduced CI/CD running time by 40% for DBT and Terraform workflows.
  • Established SRE practices for data governance, security standards, and data quality monitoring. Implemented lineage tracking and access controls to meet regulatory and compliance requirements.
Technologies: Google Cloud Platform (GCP), BigQuery, Google Kubernetes Engine (GKE), Apache Kafka, Kafka Connect, Apache Airflow, GitLab CI/CD, DevOps, Grafana, Python, Kotlin, Data Build Tool (dbt), Looker, Looker Modeling Language (LookML), Terraform, FinOps, Google BigQuery, ETL, Data Governance, Data Marts, Analytics, Data Validation, Data Modeling, Data Architecture, Machine Learning, Business Intelligence (BI), ELT, ETL Pipelines, Google Cloud SQL, Google Cloud Storage, Identity & Access Management (IAM), Data Analysis, API Integration, Artificial Intelligence (AI), Data Lakes, Data Warehousing, Claude Code, PostgreSQL, Dashboards, Large Language Models (LLMs)

Data Engineering Lead

2018 - 2021
Singapore Airline
  • Designed the AWS data platform to migrate from the proprietary ETL tool AbInitio to open-source technologies.
  • Reduced ML model deployment time from months to days by designing and implementing a CI/CD MLOps framework using AWS SageMaker that is used by 20 data scientists.
  • Built a self-service ingestion portal, adopted by 10+ business units, enabling non-technical users to onboard datasets for analytics, while safely handling sensitive data.
  • Cut data platform infrastructure costs by 35% by optimizing AWS resource utilization and improving visibility into infrastructure usage.
  • Built a data pipeline framework to move from code-based data ingestion to configuration-based data pipelines and reduce code maintenance.
Technologies: Amazon Web Services (AWS), DevOps, Redshift, AWS Lambda, AWS Step Functions, Apache Airflow, Python, SQL, Spark, Amazon SageMaker, Abinitio, FinOps, ETL, Amazon S3 (AWS S3), Amazon Redshift, Data Governance, Data Marts, Analytics, Data Validation, Data Modeling, AWS Glue, Data Architecture, Machine Learning, Data Science, Snowflake, ELT, ETL Pipelines, Identity & Access Management (IAM), Data Analysis, API Integration, Data Lakes, Data Warehousing

Data Engineer

2016 - 2018
Mentorica
  • Implemented a newsletter engine to personalize content for an eCommerce grocery store and increase customer engagement by 20%.
  • Developed an app that displays insights from multiple retail touchpoints to improve the customer retail experience.
  • Built a computer vision app to track retail footstore traffic to help retailers optimize their stores.
Technologies: Python, Grails, Amazon Web Services (AWS), SQL, OpenCV, Front-end, Software Engineering, MySQL, Amazon S3 (AWS S3), Analytics, ETL Pipelines, Data Analysis, API Integration

Experience

Le Petit Depot | eCommerce Website

Le Petit Depot is an eCommerce grocery selling French products in Singapore. I've assisted the technical co-founder in enhancing the website's front and back ends, building their product search engine, improving their SEO, and implementing small operational tools. The small commerce was acquired in 2024.

Education

2011 - 2016

Master's Degree in Computer Science

ECE Paris - Paris, France

Certifications

OCTOBER 2024 - OCTOBER 2026

CKAD: Certified Kubernetes Application Developer

The Linux Foundation

AUGUST 2024 - AUGUST 2027

AWS Certified Solutions Architect Professional

Amazon Web Services

AUGUST 2024 - AUGUST 2026

GCP Professional Cloud Architect

Google Cloud

JULY 2024 - JULY 2026

GCP Professional Data Engineer

Google Cloud

Skills

Libraries/APIs

OpenCV

Tools

Apache Airflow, Google Kubernetes Engine (GKE), BigQuery, AWS Step Functions, Kafka Connect, GitLab CI/CD, Terraform, Claude Code, Amazon SageMaker, Abinitio, Grafana, Looker, AWS Glue

Languages

Python, SQL, Kotlin, Looker Modeling Language (LookML), PHP, Snowflake

Paradigms

DevOps, ETL, Business Intelligence (BI)

Platforms

Amazon Web Services (AWS), Google Cloud Platform (GCP), Kubernetes, AWS Lambda, Apache Kafka, Docker

Storage

Data Lakes, Data Pipelines, Redshift, Amazon S3 (AWS S3), Data Validation, Google Cloud SQL, Google Cloud Storage, PostgreSQL, Databases, MySQL

Frameworks

Grails, Spark

Other

Software Engineering, Cloud Architecture, Data Management Platforms, Data Engineering, Cloud Infrastructure, Cloud Services, Data Warehousing, Data Build Tool (dbt), FinOps, ELT, ETL Pipelines, Data Analysis, Artificial Intelligence (AI), Scalability, Data Transformation, Software Development, Google BigQuery, Amazon Redshift, Data Governance, Data Marts, Analytics, Data Modeling, Data Architecture, Identity & Access Management (IAM), API Integration, Information Systems, Cloud Migration, Cloud Computing, Cloud Storage, Data Security, Containers, Cloud Native Computing Foundation (CNCF), Front-end, Machine Learning, Data Science, Dashboards, Large Language Models (LLMs)

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