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Jijun T. — Mid-Level Data Engineer from France

Jijun T.

Mid-Level Data Engineer

France 3-6 years
Open to offersNew to Platform
Languages
EnglishFrenchChinese
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About

Jijun T. is an accomplished Analytic Engineer with a robust expertise in big data engineering and cloud solutions. His professional journey spans across notable companies including Ellisphere, Orange, and La Française des jeux, where he has excelled in designing and developing features for big data platforms using a broad array of technologies such as Scala, Python, and Java. His proficiency with distributed storage solutions like Hadoop and ElasticSearch, along with his experience in streaming with Kafka and orchestration with Airflow, set him apart in the industry. At Orange, Jijun facilitated a cloud migration to GCP while at Consort Group, he successfully developed OCR applications leveraging Python and Azure Machine Learning. Additionally, he has deep experience with CI/CD pipelines and has been a leader in data governance and visualization efforts using tools like Grafana and Prometheus. Jijun holds a Master's degree in Mathematical Engineering for Enterprises from Sorbonne University and has earned certifications including AWS Certified Developer – Associate and Certified Kubernetes Administrator. Fluent in both French and English, he brings a multilingual advantage to his technical expertise.

Experience

  • Big Data Engineer

    Ellisphere · 2025 — Present
    Designed and developed new features for batch and streaming programs within ETL pipelines utilizing Scala and Java with Springboot and Hibernate. Maintained a distributed big data platform using Kafka, Cassandra, and ElasticSearch. Developed a human-machine interactive system with Angular, TypeScript, and Node.js. Conducted maintenance of databases, schemas, and tables including Oracle and PostgreSQL while monitoring metrics with Prometheus and Grafana. Managed CI/CD pipelines with SVN, Docker, and Jenkins. Engaged in data visualization and governance utilizing Qlik Sense. Implemented intelligent development and automated data cleaning leveraging Cursor, Claude AI, and ChatGPT. Collaborated with data analysts to address real-world challenges and documented technological tools and data mappings.

  • Data Engineer Cloud GCP

    Orange · 2024 — 2025
    Provided documentation for technological tools and data repositories. Designed and developed features for a big data platform that integrated Kafka, ElasticSearch, HDFS, Airflow, Spark, and Cassandra using Scala and Python. Created dashboards for monitoring metrics with Prometheus and Grafana. Assisted in migrating large-scale on-premises data to GCP. Contributed to the development of an internal chatbot model using Vertex AI and Jupyter Notebook while ensuring data governance through Collibra and Jupyter Notebook. Orchestrated CI/CD pipelines via GitLab, Docker, and GCP.

  • Data Engineer, Backend Developer

    La Française des jeux · 2023 — 2024
    Worked with a technical stack that included OpenStack, Python, Spark, Scala, Java, Kafka, Airflow, PostgreSQL, TypeScript, FastAPI, ElasticSearch, Kibana, Angular, Grafana, Collibra, Kafka, S3, Kubernetes, HDFS, AWS, and Git.

  • Data Engineer Azure, Python Developer

    Consort Group · 2022 — 2023
    Successfully developed an OCR application utilizing Python, Django, PaddlePaddle, and Azure Machine Learning.

  • Software Engineer Data

    FactSet · 2022 — 2022
    Involved in fullstack and API development using Python, FastAPI, Vue.js, and GitHub. Conducted code optimization and addressed bug elimination. Interacted with financial analysts to enhance data visualization platforms. Utilized AWS services such as S3, Lambda, Aurora, and DynamoDB.

  • Data Scientist

    Axens · 2021 — 2021
    Extracted, cleaned, and visualized data while creating and optimizing machine learning and deep learning algorithms including Regressions, AdaBoost, XgBoost, RandomForest, GRU, LSTM, and Transformer. Employed Python, TensorFlow, Keras, Scikit-learn, Plotly, and Numpy. Managed API exposure using Flask while collaborating with petrochemical engineers to improve algorithms and technologies. Deployed algorithms using the Azure Machine Learning environment.

Skills & Expertise

Dutch SpeakerSketchUpData ScientistData EngineeringBackend DeveloperData Engineer

Education

  • Master in Mathematical Engineering For Enterprises
    Sorbonne University · 2019 — 2021