Freelancer profile translated to English.
Back to original languageAbout Inal
Senior Data Engineer specializing in Databricks, Spark, Azure, and AWS. I help companies build, industrialize, and optimize their cloud data platforms: robust pipelines, Lakehouse, ETL/ELT, Spark performance, data quality, and production deployment, including for AI/LLM use cases.
Looking for a profile capable of designing reliable pipelines, optimizing Spark/Databricks processes, or strengthening a data team on a cloud project?
I support Data, IT, and business teams on Data Engineering, Big Data, Databricks, Spark, Azure, AWS, ETL/ELT, Data Lake, Lakehouse, performance, orchestration, monitoring, and data quality topics.
I intervene notably on:
- Designing reliable and scalable data pipelines;
- Developing Spark / PySpark / SQL / Python processes;
- Optimizing Databricks and Spark jobs;
- Implementing or redesigning cloud data platforms;
- CI/CD industrialization, monitoring, orchestration, and data quality;
- Preparing data for BI, analytics, machine learning, or AI use cases;
- Integrating LLMs into production data pipelines.
I have worked in large enterprise environments at Banque PSA Finance, AXA France, and ENGIE, with challenges related to data volume, security, governance, reliability, and industrialization.
I have also deployed flows integrating LLMs: data preparation, API calls, response retrieval and structuring, then writing results into systems usable by the business.
Stack: Databricks, Spark, PySpark, Python, SQL, Azure, AWS, Delta Lake, Data Lake, ETL/ELT, Airflow, Terraform, Docker, Git, CI/CD, Data Quality.
Available for remote, hybrid, or Île-de-France missions, on projects involving the construction, migration, optimization, or industrialization of data platforms.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- ENGIEEngie - Senior Data EngineerJanuary 2025 - Today (1 year and 5 months)Paris, FranceWorked within the ENGIE data team on a Databricks / AWS platform dedicated to processing, industrializing, and leveraging SAP data for various business units.
- End-to-end development of a high-volume SAP data ingestion and distribution platform, covering 500+ tables.
- Contribution to the design of a Databricks Lakehouse architecture.
- Implementation of reliable pipelines to transform, historize, and expose data for different entities.
- Contribution to data governance, security, and access control by entity.
- Optimization, reliability enhancement, and production deployment of critical data flows.
- Collaboration with business, SAP, and data teams to frame needs and deliver production solutions.
- AXAAxa France - Data EngineerBANKING AND INSURANCEJanuary 2022 - December 2024 (2 years and 11 months)Bd Périphérique, Paris, FranceWorked in a data squad to design, industrialize, and optimize data solutions on an Azure / Databricks environment, serving business analytical needs.
- Design and development of batch pipelines in PySpark for large-scale data ingestion, transformation, and structuring.
- Optimization of Spark processes, reducing processing times by up to 30%.
- Industrialization and production deployment of reliable and maintainable data flows.
- Use of internal Python libraries to standardize development and accelerate delivery.
- Data preparation and production integration of an LLM-based model for data analysis.
- Agile squad collaboration with business, data, and cloud teams.
- Banque PSA FinanceBanque PSA Finance - Data EngineerOctober 2019 - December 2021 (2 years and 2 months)78300 Poissy, FranceMissions:- Transforming raw data into usable data- Data quality improvement by applying a set of transformations- Development and production deployment of robust and scalable Data Pipelines- Production deployment of Machine Learning algorithms- Responding to operational team needs
Reviews
Atakan
SAYLIFE
Reviewed on 5/30/2024
Very satisfied with the mission carried out by Inal. Professionalism and respect for deadlines were met. I recommend!
Inal has chosen to hide 1 review
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Education
- Master 2 (M2), Software specialization Data Engineering (Data engineer)Université Gustave EiffelMaster 2 (M2), Logiciel spécialisation Ingénierie Des Données (Data engineer)