Freelancer profile translated to English.
Back to original languageAbout Yassine
I have been a senior data engineer for over 6 years, and I am looking for new challenges as a Data/ML Engineer or in other data-related fields. I am a curious self-learner and capable of leading projects from start to finish. I have a solid experience in setting up large-scale data pipelines and have played a key role in the architecture and realization of several successful products. In addition, I have also contributed to the recruitment and training of junior developers.
My technical skills include Python, Airflow, Dagster, Flink, PySpark, Elasticsearch, ClickHouse, K8s, Hadoop, Kafka, as well as NLP.
English
Fluent
French
Native or bilingual
Can work on-site
Paris (up to 30km)
Experience
- KayrrosData EngineerENERGY AND UTILITIESSeptember 2018 - February 2022 (3 years and 5 months)Paris, FranceAs a Senior Data Engineer, I was responsible for the design and shipping of several data products, including Refineries Monitoring, Floating Storage, 3D modeling, and Methane Detection.Worked with cross-functional teams to identify data requirements and develop suitable data products that met business needs.Built high-volume data ingestion stacks using RabbitMQ, PySpark, Clickhouse and Pandas.Tuned the performance of these systems to achieve maximum efficiency and minimize storage and processing costs, resulting in significant cost savings for the company.Developed pipelines to aggregate, filter, and transform data at scale.Worked closely with data scientists to ensure that production pipelines were compatible with their data analysis and modeling workflows.Managed data versioning to ensure data accuracy and consistency across multiple pipelines and systems.Designed and contributed to migration plans from Rancher to Kubernetes, ensuring a smooth transition to a more efficient infrastructure.Configured and deployed internal orchestration tools such as Airflow and Dagster to manage complex workflows and automate tasks.Built automated CI/CD pipelines and set up dev/prod environments for projects, resulting in a faster and more robust delivery of products.Developed monitoring tools and dashboards to ensure the reliability of data products.
- MindLytixData EngineerPRESS AND MEDIASeptember 2016 - August 2018 (2 years)Paris, France- Large scale web logs processing using Apache Flink.- Development of a vector similarity search API.- Dataset creation for text classification: scraping and data cleaning.- Classification of web pages using contextual data (Collaborative Filtering)- Classification of web pages using NLP techniques: TF-IDF, n-grams, Fasttext.- Web naigation sessions clustering using auto-encoders.- Conversion prediction for advertising campaigns.
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Education
- Ingénieur civil des MinesMines de Nancy2016