About Mamitiana
French
Native or bilingual
English
Fluent
Experience
- ATOSDATA ENGINEERJanuary 2022 - Today (4 years and 5 months)Paris, France- Cloud migration of Qaptiva HPC: Migration of the Qaptiva HPC solution to Google Cloud Platform to facilitate access to high-performance computing infrastructure via the cloud.- Orchestration with Kubernetes: Use of Kubernetes to manage distributed computing environments and optimize resources on GCP.- Development of a high-performance Scala application, leveraging Apache Spark and Spark Streaming for real-time analysis and proactive detection of failures or performance issues on high-performance computing (HPC) servers.- Atos Data Engineer Consultant, integrated into DEDP in Current Management to optimize the delivery of accounting data.- Mastery of Dataprep: Daily integration of accounting data via JDBC into Oracle, processing with PySpark.- Data refining specialist: Structuring accounting movement history with Hive.- Design of ETL mappings and workflows with Informatica for accounting data production.- Responsible for LOTI maintenance: Proactive monitoring and correction of failing processes (Linux, OPCON, HQL/SQL, Python, R).- Steering the evolution of G2S accounting flows, implementation and optimization with Pyspark and Informatica.- Management of job scheduling via OPCON and Kuberflow, ensuring smooth and efficient execution.- Support for business units in defining data visualization needs with Qlikview, improving data accessibility and understanding.
- BAILTISoftware Engineer & Data EngineerREAL ESTATESeptember 2020 - December 2021 (1 year and 3 months)Paris, France- Design and deployment of high-performance Big Data architectures at Bailti, including Hadoop and Spark, up to business integration via Teradata.- Continuous integration of machine learning methods to predict the price and rent of an apartment based on market parameters.- Data Analysis: Collection and visualization of large amounts of data.- Knowledge extraction to improve prediction accuracy.- Establishment of a centralized access point to the Data Lake, managing various data formats (XML, JSON, CSV).- Data cleaning and transformation into Parquet format with Python, R, and HiveQL within Lakeshore.- Data distribution and management within business databases, particularly Teradata and ORACLE.- Development of Data Visualization solutions with AWS and Kibana for optimized data analysis.- Writing Shell scripts to improve the data loading process.- Creation and automation of ETL jobs with Talend and Airflow, enhancing operational efficiency.
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Education
- Master 2 Artificial IntelligenceUniversité Paris Est Créteil (UPEC)2021
- Computer Science Engineering DiplomaEcole nationale d'informatique2020
Certifications
- Big Data Analysis with Scala and SparkCoursera2023
- Distributed Computing with Spark SQLCoursera2024