Tahar M.

• Develop anautomated ingestion pipelinefor emails, translating based on AI models and extracting entities from ~150 daily emails, with storage onS3and **SFTP**. Saving the **company several million dollars**.
• Design and deploy aGDPR data exchange pipelinewith an external partner according toEU/UK261regulations, integrating data matching, opt-out management, and email dissemination, generating **tens of thousands of dollars in monthly MRR**.

*Automatethe detection and deletion of zero-byte files across hundreds of thousands of directories, eliminatingmanual DataOps tasksand preventing blockages in a downstream legacy system that processes millions of files per day.*Design and implementamulti-tenantandmulti-modal ingestion systemonAWS**, supporting **RESTandWebhookinputs, enabling **standardized client data integration**.*Support and mentor 3 junior engineers**, strengthening their **technical skillsand **communication**, and improving the team's **delivery capacity**.*Automate 90% of repetitive DataOps tasksby developing custom tools and workflows, significantly increasing **operational efficiency**.

• AutomateData Qualityworkflows in Python, reducing processing times from **1 week (manually) to 3 seconds per file**.
• Build a Master Dataset of train stations throughAPI aggregationand **geocoding**, to improve the accuracy of downstream systems and **customer satisfaction**.

*Collaborate with data architectsin architecture workshops to improve **data infrastructure**, **scalability**, and alignment with **business strategy**.

• Work in anAgile environment**, in close collaboration with **analytics and platformteams.
• Deploycloud-native data pipelines on GCPusingCloud Composer (Airflow)and **BigQuery**, within a **Medallion architecture (Bronze, Silver, Gold)**.

*Design and implementtransformation pipelines from Bronze to Silver and Silver to Gold layers to feed theData Visualization and BI teams**, ensuring the **continuous availabilityof reliable dashboards for **top management**.

• Integrate the ingestion stream with a particular focus on ingesting external data sources into the Bronze layer, enhancing upstream data availability and quality.
• UseTerraform (Infrastructure as Code)to evolve infrastructure and configurations within an existing GCP environment.

• Work inAgile SAFe methodologyand participate in ceremonies (PI Planning, Sprint Planning, Reviews, Retrospectives) to ensure inter-teamcoordinationand **continuous delivery**.

*Design and developETL pipelines withApache Sparkto integrate data between departments within an **AWS Data Lake**.*Implement processingfor analytics on integrated data viaAWS Athenato make datasets usable for business teams.

• Participate indata architecture workshopsto definescalabletechnical solutions aligned with **platform standards**.