Walid Bouhedda

Developed and deployed a scalable end-to-end ETLT pipeline, successfully processing over 7 million records to ensure high data availability and accuracy for critical flight operations.

Orchestrated complex data ingestion and transformation tasks using Apache Airflow and dbt, significantly streamlining data workflows and enhancing data quality for downstream analytics.

Implemented robust data validation checks within the pipeline, improving data reliability and reducing error rates by an estimated 15%.

Built a cloud ELT pipeline, efficiently ingesting 6M+ hourly Wikipedia pageview records into BigQuery via Google Cloud Storage, establishing a scalable and cost-effective data foundation.

Modeled raw data using dbt for consistency and analytical readiness, enabling complex querying and reducing data preparation time by 20% for analysts.

Automated pipeline orchestration with GitHub Actions and developed interactive visualizations in Looker Studio, providing real-time insights to stakeholders.

Developed 3 comprehensive interactive dashboards using Power BI, enabling an airline company to analyze customer satisfaction data and identify key areas for improvement.

Created sophisticated calculated measures and dynamic visuals, transforming raw data into actionable insights that informed strategic decision-making.

Enhanced data accessibility and user experience by designing intuitive dashboards, leading to a 25% increase in data-driven discussions among management.