Elliott Audo
About
Elliott Audo is from Annecy, Auvergne-Rhône-Alpes, France. Elliott is currently Senior Data Engineer | Data Ops @ BlaBlaCar at BlaBlaCar, located in Анси. Elliott also works as Data Engineer - Data Architect at iAdvize, a job Elliott has held since Jan 2015. Another title Elliott currently holds is Etudiant at IMIE.
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Elliott Audo's current jobs
As a Senior Data Engineer in Data Ops, I empower Data Engineering, Analytics, and MLOps teams by building robust frameworks, modern tooling, and optimized workflows. Bridging core infrastructure and data practitioners, I ensure our data ecosystem remains reliable, scalable, and cost-efficient while setting technical standards to reduce overall complexity. Core focus: - Pipeline Orchestration: Scaling and upgrading complex data workflows via Google Cloud Composer (Airflow). - Engineering Standards: Driving technical excellence via modern CI/CD, formatting, and linting standards (UV, Ruff). - Frameworks & Tooling: Developing shared libraries to reduce technical debt and streamline operations for data squads. - Observability & FinOps: Enforcing SLOs, improving monitoring, and optimizing cloud costs to align with business priorities.
iAdvize is a conversational marketing platform that enables over 1,500 brands worldwide to create an authentic customer experience. iAdvize connects customers or prospects seeking advice with experts available 24/7 through real-time messaging. - Build the infrastructure required for the extraction, transformation, and optimal loading of data from a wide variety of sources while ensuring alignment with existing technologies and constraints. - Monitor, maintain, and govern the data infrastructure (Kafka Connect, Athena, BigQuery, Tableau Server) and all data-related services. - Collaborate with infrastructure teams on the management, maintenance, and provision of tools that empower teams to autonomously use the Kafka cluster. - Advocate for best practices and educate technical teams on data structuring and exposure challenges. Ensure the health and reliability of data flows essential to the production and performance of the iAdvize solution. - Design and maintain efficient ETL (Extract-Transform-Load) scripts and services. - Structure and optimize large, complex datasets for Data Science teams while meeting both functional and non-functional business requirements. - Develop and maintain an optimal data flow architecture. - Work closely with stakeholders—including leadership, product, data, and design teams—to help them address technical data challenges and meet their data infrastructure needs. - Ensure data security and separation across national borders and multiple AWS and GCP data centers and regions.
Diplôme obtenu : Développeur logiciel (Niveau III) Concepteur développeur informatique (Niveau II)