Ismail Mezzour

Contributed to the setup and standardization of dbt across Accor's data ecosystem Set up and maintained Apache Airflow on Astronomer Built reusable Airflow templates to generate dbt DAGs Supported data teams with best practices on orchestration and scheduling Wrote onboarding documentation for dbt and Airflow Orchestrated Snowflake stored procedures and tasks Implemented monitoring DAGs for reliability

CI/CD for data pipeline Deployments

Implemented GitLab CI/CD for dbt and Airflow deployments Set up multi-stage deployments (dev, pre-prod, prod) Designed tag-based configurations to route teams through CI/CD pipelines and reduce duplication Added unit tests and automated checks Reduced Astronomer deployment time from ~5 minutes to ~1 minute

Snowflake

Built FinOps dashboards to monitor and optimize warehouse costs Managed Snowflake infrastructure as code using Terraform Set up a pre-production environment for dbt testing Audited access and usage logs and built Snowsight dashboards Optimized warehouse sizing, auto-suspend, and workload isolation Defined role-based access models and governance Benchmarked semantic layer solutions

Data Quality & Observability Implemented dbt tests for data integrity Set up Soda quality checks Benchmarked observability tools (Sifflet, Monte Carlo) Delivered POCs with Sifflet, Elementary, and Soda

AWS

Managed AWS infrastructure as code using Terraform Built Terraform modules for scheduling and monitoring dbt Developed AWS Lambda functions to send data from Snowflake to Splunk

ML Ops

Delivered POCs for model registries (Snowflake, SageMaker, GitLab) Worked with data scientists to optimize ML workflows Introduced core data science concepts Set up ML model monitoring in Snowflake

Data Engineering and Development

Develop and maintain ETL jobs with python, Spark, SQL, DBT and Airflow

Optimize Spark jobs and document BigQuery Implement data quality monitoring tools Collaboration and Interaction Understand business data needs and collaborate with teams. Manage daily scrum and sprint summaries Cloud Platforms and Monitoring Work on Azure and Google Cloud Platform. Monitor pipeline metrics with Azure workbooks.

Reporting and monitoring with SAPAnalytics Cloud, real-time dashboards, Python/SQL data engineering, SAP-OData connection, data processing executable.