Mouad Attaqi

Project: ASPIRE Client: LVMH Main Missions: • Develop Data pipelines that allows ingesting data from various sources (sftp, cloud and external databases). • Clean, process and aggregate data by applying business rules and functional specifications for different business needs. • Building different data models using the Data Mesh pattern, and splitting the data into different stages. Project: Datahub Client: TF1 Main Missions: • Develop Data pipelines that allows ingesting data from various sources (sftp, cloud and external databases). • Clean, process and aggregate data by applying business rules and functional specifications for different business needs.

Project: MDC Data Client: Air France Missions : Pipeline Development to extract data from Oracle tables, load them in Hadoop, processing them with spark Jobs and then export them to Teradata, and then build BI Dashboards using Spotfire and BO Scaled Agile Framework (SAFe). Technical Tools: Spark, Java, SQL, Hadoop, Hbase, Teradata, Spotfire, BO. ------------------------------------------------------------------------------------------------------------ Projet: SKYWISE - SPM Client: AIRBUS Missions: Data Cleaning and Enrichment -> Cleaning of raw data, using text pre-processing rules. -> transforming data into enriched information using big data pipelines. -> Development of Dashboard and interfaces for displaying alert issues coming from ZAOG ML models. -> Working with The Scaled Agile Framework (SAFe), which allows interactivity between several project teams as with this methodology the final result of a team during a sprint is the input for another one in the next sprint, that's why the work needs to be synchronized between the different teams in the same SAFe train Technical Tools: Amazon Web Services, Spark, Python, Java, Pyspark, SQL, JavaScript, ElasticSearch. Palantir Foundry Cloud: Foundry Transforms, Code workbook, Contour, Fusion, Hubble, Slate ------------------------------------------------------------------------------------------------------------ Projet: SKYWISE - ISWT - DME Client: AIRBUS Missions: Data Cleaning and Enrichment -> Cleaning of raw data, using text pre-processing rules. -> transforming data into enriched information using big data pipelines. -> Text categorization, using dictionaries based on rules applied on keywords. -> developing dashboards and Interfaces for assessing the enriched data. -> Working with The Scaled Agile Framework (SAFe). Technical Tools: Amazon Web Services, Spark, Python, Pyspark, SQL, JavaScript.

-Développer des algorithmes et des outils d‘interrogation et d’agrégation des données de mobilité de tailles importantes et de sources différentes. - Implémenter ces algorithmes qui servent à exécuter les différentes requêtes pour extraire de la connaissances à partir de ces Big data. -Analyser l’inscription spatiale et temporelle de cette mobilité.

Ma mission principale était de développer une application de gestion syndicale des propriétés (achat , vente et autre activités relatives ) pour les jardins de palmeraie à Marrakech au Maroc

Ma mission était d'une part de réaliser les différentes taches et travaux du service personnel , en plus j'ai participé dans une équipe afin de développer une application de la gestion des congés des personnels