Ryad Ben Abba

Led the end-to-end SAP & Salesforce migration stream, managing a team of data engineers while remaining hands-on on complex pipeline development in Databricks.

Ran workshops with business units, clarified requirements and validated functional rules with AMOA, ensuring accurate translation into technical specifications.

Designed and implemented complex mappings, transformation logic and reusable Spark/Databricks modules across 80+ migration objects, fully aligned with IBM and architecture guidelines.

Built scalable frameworks for data quality, reconciliation, ID generation and delta loads, improving reliability and accelerating development across the program.

Delivered 100% of migration objects on time by creating a transformation framework adopted by three other data engineers.

Reduced data defects by ~40% through automated quality checks and rule-validation pipelines.

Accelerated functional alignment by structuring workshops and producing clear SFDs, rules and mapping documentation.

Improved IBM–SUEZ collaboration by centralising mappings, rules and deltas into unified, reusable Databricks components.

Built and optimised data pipelines on Azure for finance, risk and operations teams. Designed ingestion → transformation → serving flows for reporting and analytics. Improved data quality and lineage across several business-critical datasets. Collaborated with product owners, finance teams and platform teams. Worked directly with finance and risk stakeholders to align data needs and deliver trusted analytics datasets Reduced execution times by 30% on core financial pipelines through Spark optimisation and storage tuning. Delivered reliable datasets powering finance dashboards consumed by 200+ users. Stabilised production pipelines by implementing monitoring and automated rerun logic.

Migrated BI and analytics workloads to Google Cloud Platform (GCP) and Snowflake, supporting the modernisation of sales & marketing data architecture across France and Spain. Built and automated end-to-end ETL pipelines integrating CRM, sales, and digital channels into centralised data models, improving data accessibility and governance. Developed Power BI dashboards (sales performance, customer behaviour, campaign ROI) widely adopted by business stakeholders. Designed and optimised SQL queries and semantic models, reducing report generation time by 40%. Worked closely with marketing, sales and finance teams to translate business needs into KPIs and analytics-ready datasets.