Youssef S.

Within the Data Finance department of DIOR, I contributed to the reliability and optimization of strategic data flows, supporting various business areas: Shoes, Manufacturing, Ready-to-Wear, Customer Reference Data (RCU), and Human Resources.

💡 Missions & Achievements

🔍 Business Needs Analysis: Close collaboration with project teams to gather, challenge, and translate needs into high-performance and scalable technical solutions.

🛠️ ETL Design & Development: Creation of robust Talend flows (CSV, XML, JSON), including inter-system data synchronization.

🌐 Integration via APIs & ESB: Development of inter-application flows by consuming APIs (REST/SOAP) and implementing service-oriented architectures.

🔄 SAP Integration:

Managing data exchanges with SAP via IDOCs, ensuring the consistency and quality of financial data.

🐞 Incident Management & Continuous Improvement: Anomaly analysis, implementation of corrective action plans, and optimization of existing processes.

🧪 Quality & Reliability: Performing unit and integration tests to ensure the robustness of deliverables.

🚀 Deployment & Operations:

Publishing and managing artifacts on Talend Management Console (TMC)

Preparing delivery packages and scheduling via OpCon

Monitoring schedules and automating processes

🤝 Agile Environment Work: Active participation in rituals (Kanban, Jira), fostering collaboration and continuous improvement.

🧰 Technical Environment

Talend Cloud & Data Integration: Talend Data Integration, API Services Platform, TMC

Data & Databases: SQL Server, DBeaver, Microsoft SQL Server Management Studio, SQL

Integration & Middleware: REST/SOAP APIs, ESB, SAP (IDOCs)

Tools & DevOps: GitLab, OpCon, FileZilla, KeePass

Formats & Standards: XML, JSON, CSV

Methodologies: Agile (Kanban), project management with Jira

As a Talend ETL Cloud consultant, I work on the entire chain of data preparation, transformation, and provisioning from internal and external sources.

My goal: industrialize flows, ensure the reliability of datamart and dataset feeding, and enable data consumption by business, Data Science, reporting, and API teams.

🔧 My Key Expertise

🔹 Data Design & Development

Design and population of a scalable data warehouse using Talend (ETL / ESB / Cloud).

Implementation of industrialized, robust, and documented data pipelines.

Functional & technical modeling, creation of analytical datamarts and datasets.

🔹 Talend Development & Optimization:

Development of complex Talend flows (ETL/ESB) and optimization of existing jobs.

Creation of jobs integrating HTTP requests (REST: GET / POST / PUT).

Application interfacing via Web services (REST, Talend ESB).

🔹 BigQuery & Cloud ELT:

Development of ELT flows to Google BigQuery.

SQL script generation, performance optimization, partition management.

KPI calculation automation (Talend, BigQuery, SQL).

🔹 Complementary Development:

Java routine development for advanced transformations.

Creation of stored procedures, SQL/PLSQL queries, and Windows batch scripts.

Centralized management of logs, alerts, consistency checks, and rejections.

🔹 Documentation & Quality:

Writing technical documentation (SFD, mapping files, operational guides).

Implementation of standards, best practices, and industrialization processes.

Within a Digital Factory, I work on the design and implementation of robust and scalable data solutions, focused on data integration, transformation, and value creation.

🔧 Data Engineering & Integration

Design and development of ETL pipelines with Talend (Open Studio & Big Data)

Multi-source data integration: Salesforce, APIs (REST), SFTP (flat files, CSV, XML, positional formats)

Implementation of batch, micro-batch, and real-time flows

Implementation of Change Data Capture (CDC) solutions

🔗 Interoperability & APIs:

Development of interfaces via Web services (REST / Talend ESB)

Inter-application and inter-database synchronization

Management of complex data exchanges between heterogeneous systems

⚙️ Data Processing & Transformation:

Development of specific Java processes

Ingestion, normalization, and transformation of structured and unstructured data

Optimization of flow and process performance

🧠 Data Modeling & Architecture:

Design and enrichment of Data Warehouses and Data Marts

Modeling for performance and business needs

Design of modern data architectures (ETL, Kafka, SQL)

📊 Data Performance & Quality:

Optimization of SQL queries (Salesforce, MongoDB…)

Implementation of Talend development best practices

Process normalization and continuous improvement

🔍 Production Run & Monitoring:

Maintenance (evolutionary and corrective) of jobs

Supervision of daily loading flows

Analysis and resolution of production incidents

💡 What I Bring

Expertise on Talend & Big Data ecosystems

Ability to manage complex, high-volume flows

Performance, quality, and scalability-oriented approach

High autonomy and understanding of business challenges

🌐 Technical Environment

Talend Cloud, Talend Big Data, Talend ESB, TMC, Git, SoapUI, Postman, Oracle, Server, MongoDB, Elasticsearch, Salesforce (SOQL), S3, Java REST, SOAP, SFTP, FTPS, Kafka