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Yanis AhrasYA

Yanis Ahras

Cloud/DevOps Data Engineer | GCP Professional Data

€600/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Yanis

With over 4 years of experience as a Data Engineer, I have acquired diverse expertise in several sectors, including e-commerce as a Big Data Developer at Dropix, the banking sector with my time at Natixis, and the automotive industry where I carried out three missions in different departments at Renault.

My background has allowed me to master a wide range of Big Data technologies, including Spark, CDP, HDP, Kafka, ELK, AWS, Python, Scala, and many others. I also have advanced cloud skills, having obtained the Professional Data Engineer certification from Google Cloud Platform (GCP).

I have had the opportunity to work on various and exciting projects, which has allowed me to develop solid skills in data collection, processing, and analysis. My versatile approach and my ability to adapt to the specific needs of each sector have been key assets throughout my career.

I am determined to continue to evolve in the field of Data Engineering and to contribute to the success of future projects
  • English

    Fluent

  • Arabic

    Native or bilingual

  • Kabyle

    Native or bilingual

  • French

    Native or bilingual

  • Spanish

    Conversational

Can work on-site
Paris (up to 50km)

Experience

  • Renault
    Data Engineer GCP
    AUTOMOBILE
    September 2021 - September 2022 (1 year)
    Boulogne-Billancourt, France
    As a Data Engineer within the SMDH team at Renault, I contributed to the construction of a centralized Sales and Marketing data platform. My role was to collect, clean, and prepare data to facilitate decision-making in the sales and marketing departments. I worked closely with a multidisciplinary team, developing custom ETL (Extract, Transform, Load) in Python and PySpark to process a variety of data formats.

    I also played an essential role in managing GDPR compliance for personal data, ensuring that all data was properly processed. In addition, I developed a user-friendly Web application with Microsoft Power Apps to allow Renault employees to easily access the data catalog.

    My experience in this mission allowed me to work in a Cloud environment with Google Cloud Platform (GCP), to use tools such as BigQuery, DataProc, Airflow, and to set up a CI/CD environment. I also participated in data lineage and dashboarding projects, contributing to the improvement of the efficiency of sales and marketing activities at Renault.
    Big Data Data analysis Apache Spark Google Cloud Platform (GCP) BigQuery Google Analytics Google Data Studio Data visualisation SQL noSQL PySpark Scala
  • Natixis
    Data Engineer
    BANKING AND INSURANCE
    September 2019 - July 2021 (1 year and 11 months)
    Paris, France
    During my mission at Natixis as a Data Engineer, I worked in the field of finance, where data management is crucial to meet regulatory and commercial needs. My role was to collect, transform, and enrich the data stored in the company's datalake.

    I participated in the implementation of reporting algorithms aimed at grouping the data necessary for regulators and performing checks and corrections during data audits. My expertise in Spark-Scala allowed me to develop several treatments for the finance datalake.

    In addition, I was involved in the preparation and implementation of the migration to HDP3 in collaboration with the Data Engineers of the team on different work environments (DEV, BENCH, PROD) following an Agile methodology. I also played an essential role in piloting and monitoring production flows, thus ensuring the reliability of the data used in Natixis' financial sector.

    This experience allowed me to consolidate my skills in financial data management, to actively participate in migration projects, and to strengthen my ability to work in a rigorous environment subject to strict regulatory constraints.
    Data Lake Scala Apache Spark Control-M Data Engineer Oracle Database Data analysis Google Data Studio Hadoop hdp CDP Cloudera Python 3 Bash Hive index indexima HBase
  • Dropix
    Python API Big Data Developer
    E-COMMERCE
    May 2019 - August 2019 (4 months)
    Paris, France
    development of flow management algorithms between
    Dropix and its suppliers/marketplaces. Based on the APIs made available
    by customers or partners, develop end-to-end flow management
    (catalog import, price/stock update, order management, etc.).
    These algorithms will be automated and will rely on the databases
    Dropix.
    Amazon Web Services (AWS) AWS Lambda Cloud AWS AWS EC2 Apache Airflow Web Scraping scrapping Data scraping Python PostgreSQL

Recommendations

Paul RousselonPR
Dame N.DN
Paul Rousselon and 1 other person have recommended Yanis

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Education

  • Computer Science Degree
    Paris Descartes
    2017

Certifications

Skill set

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