Aymen Z

As a key player in the Biometry Data Science department, I am the Key Technology Strategist and Technical Leader. I focus on planning the future technology architecture at Danone and making the important decisions needed to make it happen: Tasks: • Define and control the data governance and database architecture strategy • Architect and design data warehouse/mart solutions in the Big Data environment • Contribute to the definition of quality control processes within the information system and propose solutions for improving data quality and optimizing its usage • Collaborate with infrastructure and application teams to identify, deploy, and support data viz application • Providing technical design guidance to the development teams • Participation in team code reviews, documentation and technical studies • Promote and develop data architecture best practices, guidelines, procedures and frameworks • Provide leadership and expertise in the development of standards, architectural governance, design patterns, and practices • Force multiplier for the data engineering team, helping them to make good decisions, avoid (or at least learn from) bad ones and confidently make difficult trade-offs Skills: Cloudera, Hadoop, Alteryx, Spotfire, Gogs, Impala, Hue, Oozie, Python, Spark, Kudu

In the Big Data division at Enedis, within the TI STM department, I am responsible for developing innovative Big Data applications using a microservices architecture. Tasks: • Explore innovative Big Data solutions for real time data processing in agile mode (SCRUM) • Develop MicroServices using Spring Boot and deploy them in Docker Containers • Using OpenShift to ensure scalability, deployment and monitoring of these containers • Configuration of Apache Kafka to ensure communication between MicroServices • Using the Schema Registry proposed by Confluent to serialize and deserialize the messages exchanged between MicroServices in Avro format • Ingestion of data into cassandra and teradata from a Kafka topic • Using Prometheus and Grafana for kafka broker monitoring. Skills: Java, Maven , Spring Boot, Kafka , Confulent, Schéma Registry, Git, OpenShift, Jenkins, Grafana, Promeuteus, Cassandra, Teradata

In the Data Management Department at Orange, I am responsible for implementing a new Data Lake infrastructure and designing advanced data visualizations to support strategic insights: Tasks: • Explain, demonstrate, and prove in-depth what NoSQL data base and analytics services can do and how to enable and manage them for analytics analysis • Architect scalable data processing and analytics solutions, including technical feasibility and proposal development for Big Data storage, processing and consumption • Build out advanced analytics capabilities including data visualization and experimentation platforms and tools • Collect, compile, validate, interpret, and analyze data using Python, Java • Developing moderately complex machine learning, statistical, simulation, and forecasting models. • Working with Neo4J Graph database and making dynamic Cypher queries. • Presenting work outputs using dynamic visualization with D3 JS and JavaScript • Improve the automation of the infrastructure and the continuous integration and deployment processes • Using elastic stack to make an alerting system to maintain and verify the accuracy of data and take corrective steps to improve data quality. Skills; Linux, Hadoop, Sqoop, Hive, HBase, Elastic Stack, Machine Learning, Data Mining, D3 JS, Java, Python, Maven, Neo4j, Cypher, RSS, SQL Server, Bootstrap, Ionic

Working in the Digital Transformation & Innovation Department of Sopra Steria, I'm in charge of defining and building POCs (Proof of Concept) in the field of Energy: Tasks: • Design and implement data ingestion techniques for real time and batch processes into Hadoop ecosystems. • Designing and developing data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching. • Reporting and Visualization for unstructured and structured data set. • Visualize and report data findings creatively in a variety of visual formats that appropriately provides insights to the organization. Skills: Elasticsearch, Logstash, Kibana, Machine Learning, Data Mining, Hadoop, Hortonworks, HBase, Sqoop, Flume, Hive, Pig, Spark, R

Working at the IT Consulting department of S&H group, in partnership with Oracle, I'm in charge of developping Cloud applications in the field of Finance and Human Resources: Tasks: • Building and delivering reports to provide actionable insights to the squads, project stakeholders and managers. • Assists in the development and maintenance of production data management, data integration and reporting processes. • Implementing, improving and refining product KPIs to have an eagle-eye view on product performance, in close collaboration with the Business Intelligence team. • Developing Cloud Applications with Oracle Application Express (APEX) : (Oracle PaaS, APEX, PL/SQL, Javascript, REST). • Developping Hybrid Mobile Application and making Business Analytics Decisions from user's events. • Web Scraping and Data Extraction using Java, Selenium and Phantomjs. Skills: Ionic , Cordova, AngularJS, RESTful API Development, Web Design, Oracle Cloud Service, Oracle Apex Jquery Mobile, NVD3 charts for d3.js, Java, Elasticsearch, Logstash, Kibana

At OCTAVE.IO, a Big Data ingestion and visualization system was created as MVP to automate file integration and data visualization. Built on Hortonworks, it used Spark (Scala) to process different file types (CSV, JSON, Excel, etc.), convert them into tables, and send the data to Elasticsearch for easy search and reporting in Kibana. Tasks: • Desig and develop a fully automated data ingestion pipeline. • Built a Spark (Scala) application to process and structure raw files into tables. • Integrate Elasticsearch for fast search and analysis. • Enable real-time dashboards and custom reporting via Kibana. • Design an end-to-end architecture, optimizing scalability and flexibility. • Direct the entire project lifecycle, from concept to deployment. Skills: Spark, Scala, Elasticsearch, logstash, kibana

Leveraging big data within the Security Department of Adista, my role involves implementing a comprehensive Big Data solution and defining/building POCs: Tasks: • Gathering structured and unstructured data from log files using Logstash. • Importing, cleaning, transforming, validating, and modeling data to understand and draw conclusions for decision-making. • Visualizing data through charts, graphs, and tables, and designing relational databases for efficient data collection. • Implementing backup software to proactively alert security guarantors and predict potential system failures. • Crafting a search engine with contextualized queries for enhanced functionality. Skills: Elasticsearch, logstash, kibana, Spring boot, Spring Security, d3.js

Currently , the SCA paradigm (Service Component Architecture) became a standard form for modeling and implementing services-orieiated-architectures. Despite all its benefits, the solutions provided by this paradigm are incomplete because they do not represent any formal definition. Tasks: • Formalize the SCA (Service Component Architecture) composition approach using Model-Driven Engineering (MDE) to establish a reliable modeling system. • Develop and maintain two Ecore meta-models: one for SCA and another for Event-B to enhance service-oriented architecture implementations. • Create a transformation program, SCAToEventB, written in ATL (ATLAS Transformation Language) to convert SCA compositions into Event-B models. • Design and implement Java software to execute the SCAToEventB program, ensuring smooth operation and integration. • Collaborate with stakeholders to understand requirements and ensure that the modeling solutions meet business needs. Skills; JAVA, SCA, Event B, XPAND, Acceleo, IDM, OCL