Christophe Oudar
Principal Software Engineer at Teads
Greater Montpellier Metropolitan Area France
Summary
👤
Senior🎓
Top SchoolChristophe Oudar is a Principal Software Engineer with 13+ years building high-throughput, data-intensive systems at Teads, where he helped scale ingestion to hundreds of thousands of events per second and manage a multi-petabyte data lake across S3, GCS and BigQuery. He blends deep backend and data-engineering expertise (Scala, Spark, Flink, Kafka, dbt) with hands-on DevOps practices to drive technical strategy and cross-functional initiatives. An active open-source contributor, he’s improved the dbt BigQuery adapter and maintains several data tooling projects such as bqbooster and dbt-bigquery-monitoring. Christophe also pursues mobile development and long-standing indie projects, publishing technical guides and tools that reveal a pragmatic, curious engineer who enjoys solving hard scalability, concurrency and observability challenges.
13 years of coding experience
14 years of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at ENSEIRB-MATMECA
German, English, French
Stackoverflow
73reputation
4kreached
1answer
2questions
Github Skills (18)
google-cloud-platform10
bigquery10
python10
dbt10
gcp10
data-engineering9
sql9
database-management8
testing8
android6
docker6
android-room6
android-architecture-components6
apache-spark6
google-bigquery6
Programming languages (10)
Github contributions (5)
dbt-labs/dbt-bigquery
Sep 2021 - Oct 2022
dbt-bigquery contains all of the code required to make dbt operate on a BigQuery database.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 reviews, 8 commits, 11 PRs in 1 year 1 month
Contributions summary:Christophe contributed significantly to enhancing the dbt-bigquery adapter, primarily focusing on improving its functionality and integration with BigQuery. They implemented features such as supporting execution projects, which allows users to specify a project for query execution. The user also worked on incremental schema changes and added job ID, project ID, and location details to adapter responses, facilitating better debugging and job tracking within the BigQuery environment. Further contributions included the integration of ingestion time partition table support as part of an incremental materialization strategy.
data-analyticsanalytics-engineeringdbt-packagessqloperate
Kayrnt/dbt-bigquery
Oct 2021 - Sep 2024
dbt-bigquery contains all of the code required to make dbt operate on a BigQuery database.
Contributions:198 pushes, 18 branches in 2 years 11 months
data-analyticsdbt-packagessqloperatebigquery
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