Summary
Clémence Lévecque is a pragmatic data engineer with nine years’ experience building production-grade data platforms and ML systems, currently shaping data enablement at ANZx in Melbourne. She has led end-to-end implementations from Snowflake-based data warehouses and CI/CD for analytics at Linktree handling ~270M daily events to deploying recommendation models and GraphQL-backed serving layers. Comfortable across cloud stacks (GCP, AWS), Apache Beam/Dataflow, infrastructure-as-code and production ML, she blends hands-on pipeline engineering with architectural blueprints for scale. Her background includes applied research in NLP and fraud detection, reflecting a pattern of tackling new technical domains and shipping practical solutions.
9 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, Master of Engineering - MEng at Université Claude Bernard Lyon 1
Scientific Baccalauréat ( A-level), Scientific Baccalauréat ( A-level) at Lycée Robert de Luzarches
Lycée Pierre d'Ailly
Master of Engineering - MEng, Master of Engineering - MEng at Ecole centrale de Lyon
French, English, Spanish, Chinese