À propos de Ismaël
Hello, I'm Ismaël!
I am a Data Engineer dedicated to building robust data architectures and automated systems that empower businesses to make smarter, faster, and data-driven decisions.
My expertise lies in transforming raw, fragmented data into structured, high-quality assets. I bridge the gap between complex technical infrastructures and actionable business intelligence.
🧠 Data Engineering & Infrastructure Services
I help companies streamline their data lifecycle, from ingestion to visualization, ensuring data integrity and pipeline reliability.
I can assist with:
- Data Pipeline Engineering: Designing, building, and maintaining scalable ETL/ELT pipelines.
- Database Architecture: Modeling and optimizing SQL/NoSQL databases for performance and cost-efficiency.
- Workflow Automation: Automating repetitive manual tasks and business processes using Python and Bash.
- Data Integration: Connecting diverse sources through API development and third-party integrations.
- Data Quality & Governance: Implementing cleaning, validation, and monitoring to ensure "single source of truth" reliability.
- Cloud & Orchestration: Deploying and managing data workflows to ensure seamless operations.
🛠 Technical Stack
- Languages: Python (Pandas, PySpark), SQL (PostgreSQL, BigQuery, Snowflake), Bash.
- Data Tools: ETL/ELT Tools, Airflow, dbt, Prefect.
- Cloud & Infrastructure: AWS/GCP/Azure, Docker, API Integration.
- Analysis & Visualization: Tableau, PowerBI, Looker Studio.
🎯 Why work with me?
As a Data Engineer, I don't just move data; I ensure it serves your business goals. My approach is centered on:
- Scalability: Building systems that grow with your company.
- Reliability: Implementing rigorous testing to prevent pipeline failures.
- Efficiency: Optimizing queries and workflows to reduce technical debt and costs.
- Business Mindset: Translating complex technical requirements into clear, value-driven outcomes.
Français
Bilingue ou natif
Anglais
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- AziraBig Data Engineerjuillet 2024 - janvier 2025 (6 mois)Tourism Insights: Actionable Data for Strategic MarketingTools: Spark, AWS (EMR, S3, EC2), Python, AirflowBuilt a robust data pipeline generating dynamic, client-specific tourism reports, driving a 15% annual revenue increase.Utilized APIs, EMR, S3, PySpark, Python, Bash, Airflow to automate over 200 daily reports, improving accessibility and reducing manual work by 70%.Parameterized processes with YAML/JSON for multi-client customization.Powerful Reporting PipelinesTools: Spark, Python, Bash, AWS (EMR, S3, EC2), AirflowDeveloped Airflow pipelines processing 100s of TBs of data.Designed scalable AWS-based solutions for global enterprises.Optimized pipelines, reducing costs and operational overhead.Migration from Hadoop to PySparkTools: Spark, Python, SQL, Hive, AWS (EMR, EC2, S3)Migrated MapReduce models to Spark, improving performance and lowering compute costs.Applied advanced Spark optimizations (dynamic partition pruning, broadcasting, caching, hashing).
- IML MONEY™CEO & Data EngineerEDUCATION & E-LEARNINGavril 2022 - Aujourd'hui (4 ans et 2 mois)Dubaï, Émirats arabes unisUIF FrameworkTools: Python, SQL, Spark, SAP Hana, Azure Data Factory, Snowflake, APIsDeveloped a robust ingestion platform consolidating data from multiple sources for a major consumer goods company.Enhanced automation, reducing manual workload for business-as-usual teams by 30% and improving efficiency.Streamlined integration by unifying diverse datasets, enabling seamless organizational access and utilization.
- TCSJunior Data EngineerEDUCATION & E-LEARNINGnovembre 2023 - juin 2024 (7 mois)Paris, FranceOrganisational-wide Financial Reporting Tools: Spark, Python, Scala, SQL, Azure (Databricks, Data Factory, VMs, ADLS Gen2) Built a consolidated dashboard for CXOs/VPs with analytics from 7 business units. Integrated data from SQL Servers, Excel, CSVs into ADLS Gen2 via Azure Data Factory. Used Databricks (PySpark, Scala, Spark SQL) for processing and loaded results to Azure SQL Server. Created numerous Dimension/Fact tables, views, and stored procedures for dynamic Power BI reporting. Data Migration ProjectTools: Python, Azure (Data Factory, VMs, ADLS Gen2, Self-Hosted IR) Migrated 100+ GB data from VMs to ADLS Gen2 using Azure services. Automated scheduling via Data Factory with Self-Hosted IR. Designed robust ADLS Gen2 storage to enable scalable processing and reporting.
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Formations
- M.Sc. in Data Engineering (Master's Degree level)OpenClassrooms – EQF Level 7 Professional Certification2025Computer Science, Big Data Architecture, and Distributed Systems
- B.S.c in Computer ScienceSorbonne University2024Algorithms & Data Structures, Object-Oriented Programming (Python/Java), Database Management Systems (SQL), Operating Systems (Unix/Linux), Software Engineering, Discrete Mathematics, Networking
Certifications
- AWS Certified Data Engineer - AssociateAmazon Web Services2022
- Databricks Certified Data Engineer AssociateDatabricks2022