Description

Senior Data Engineer with 15+ years of experience building data platforms across Banking, Insurance, Telecom, and Gaming industries.

I design and deliver end-to-end data solutions — from ingestion pipelines to curated analytical layers — on AWS, GCP, Databricks, and Snowflake. My stack: Python, PySpark, Airflow, Terraform, Kafka, and CI/CD.

I've worked in regulated environments (banking, insurance, lottery) where data reliability and auditability matter. I operate autonomously, integrate quickly with existing teams, and deliver clean, maintainable work.

Available for remote freelance missions.

Industry field of expertise

Languages

English
Native or bilingual
French
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Intact Insurance
Databricks Data Engineer
May 2024 - October 2025 (1 year and 5 months)
Designed and implemented streaming and batch data pipelines in Databricks for the Data Science team. Built CDC pipelines with Informatica, developed reusable ingestion frameworks, and enforced row/column masking with Unity Catalog. Performed performance tuning, troubleshooting, and failure recovery for production pipelines. Stack: AWS S3, Databricks, Jenkins, Python, PySpark, Terraform, Snowflake, GCP.
Snowflake Databricks Python Amazon Web Services Terraform
Freelance
Senior Data Engineer
January 2024 - Today (2 years and 7 months)
Montreal, Canada
Senior Data Engineer with 14+ years of experience designing and building cloud data platforms. Key projects include: building ELT pipelines on AWS (Lambda, Step Functions, Glue, S3, Redshift), architecting data platforms on Databricks (Delta Lake, Unity Catalog), designing Snowflake data warehouses, orchestrating workflows with Apache Airflow, and implementing Infrastructure as Code with Terraform. Daily use of Python and PySpark for large-scale data transformation. GCP/BigQuery experience for analytics use cases.
Loto-Quebec
AWS Data Engineer
June 2021 - March 2024 (2 years and 9 months)
Built and maintained the central Data Lake for Lottery and Casinos, enabling analytics across business units. Designed scalable ETL workflows on AWS and Databricks, automated cloud environments with Terraform, and implemented Kafka connectors for real-time data ingestion. Stack: AWS Lambda, Redshift, DynamoDB, Kinesis, Glue, Step Functions, Python, PySpark, Terraform, Kafka, GitLab CI.