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Christophe Oudar Profile
Christophe Oudar

@Kayrnt

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(Principal) Software (Data) engineer. Backend, AI & BigData at @Teads and a bit of OpenSource on data / mobile projects. blog: https://t.co/oxO7h63FdH

Montpellier, France
Joined October 2010
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@Kayrnt
Christophe Oudar
6 months
SQLMesh, dbt and Fivetran... what's next?
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@Kayrnt
Christophe Oudar
6 months
Past Years in Data Engineering and Current Trends (2025 Edition - Part 2)
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@Kayrnt
Christophe Oudar
7 months
Past years data engineering and current trends (2025 edition)
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@Kayrnt
Christophe Oudar
1 year
GROUP BY conference 2025
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@Kayrnt
Christophe Oudar
1 year
I just published dbt Labs’ Developer Day: What They Announced and What They Left Unsaid
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@Kayrnt
Christophe Oudar
1 year
What if dbt and SQLMesh were weapons
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@Outbrain
Outbrain
1 year
We are pleased to announce the closing of our merger and the launch of our combined company, which will operate under the name Teads.
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@Kayrnt
Christophe Oudar
1 year
Backing up Slack on Iceberg with dlt & Dagster
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@Kayrnt
Christophe Oudar
1 year
I just published dbt-bigquery-monitoring: Monitoring BigQuery compute and storage with dbt
Tweet card summary image
link.medium.com
An introduction to the dbt package designed to help you with BigQuery monitoring
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@Kayrnt
Christophe Oudar
2 years
Don't hesitate to share your thoughts as I'm eager for some feedbacks regarding that approach 👀
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@Kayrnt
Christophe Oudar
2 years
6/7 Curious to learn more? Check out the full article here: https://t.co/9QjdIjROuh
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@Kayrnt
Christophe Oudar
2 years
5/7 Whether you're a data architect, engineer, or just a data enthusiast, this article offers valuable insights for streamlining your data operations.
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@Kayrnt
Christophe Oudar
2 years
4/7 Key highlights: - Pros and cons of different reference data access methods - How SQLMesh addresses cross-dialect SQL challenges - The potential of semantic layers as an alternative to views
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@Kayrnt
Christophe Oudar
2 years
3/7 In my latest article, I explore the challenges and solutions for managing reference data in domain-driven development. I examine various approaches, with a special focus on SQLMesh - a promising tool that's shaking up the field.
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@Kayrnt
Christophe Oudar
2 years
2/7 Over the past months, I researched opportunities to improve ways of working with reference data across 3 environments: - RDMS (Your regular OLTP database where reference data sit and evolve) - a data lake - a data warehouse
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@Kayrnt
Christophe Oudar
2 years
1/7 🚢 Navigating the complex world of reference data management Ever struggled with maintaining consistent reference data across multiple environments? You're not alone.
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@Kayrnt
Christophe Oudar
2 years
Bucketing optimization in #SQL to deal with skewed data (#BigQuery example)
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@Kayrnt
Christophe Oudar
2 years
Past years and current data engineering trends
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@Kayrnt
Christophe Oudar
2 years
I wonder if it's worth writing an article on it? I didn't find BigQuery related bucketing article and it's a bit tedious to troubleshoot and to write for first timer.
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