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Mehrez Bouasker

@mehrezbouasker

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I build reliable dbt and BigQuery pipelines that turn global data into trusted business insights.

Tunisia

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What I'm looking for

I'm looking to build reliable, maintainable data products where dbt, BigQuery, Python, and automation improve data quality and help teams make trusted decisions.

At Ernst & Young supporting Renault Group, I operate and monitor 20–50 ETL pipelines and data sources across 15+ countries using Airflow, dbt, BigQuery, and GCP Buckets. I build analytics-ready datasets through complex business rules and a dbt medallion architecture.

I migrated legacy GCP Cloud Functions into dbt SQL views, cutting pipeline runtime by about 40%, and streamlined dashboard data flows to improve freshness and accuracy. Previously, I led Tibco Spotfire dashboard development for 400+ active users, increasing adoption by 30% through responsive layouts, mobile versions, KPI comparisons, and custom HTML, CSS, and JavaScript components.

My software engineering background shapes how I approach data quality, automation, and maintainability. I have also deployed SAS Viya, built Python and GPT-3.5 automation tools for reporting and Arabic client communications, and developed a Vue.js geospatial platform for solar-energy site optimization.

Experience

Work history, roles, and key accomplishments

Current

Analytics Engineer

Current

Ernst & Young

Mar 2025 - Present (1 year 6 months)

Operate and monitor 20-50 ETL pipelines/data sources across 15+ countries using Airflow, DBT, BigQuery, and GCP Buckets, ensuring data availability and reliability. Implemented and maintained complex business rules within a DBT medallion architecture, delivering analytics-ready datasets at scale.

Airflow DBT BigQuery ETL Data Pipelines Medallion Architecture SQL Python