Nabil - Chef de projet SQL SERVER

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Photo de Nabil, Chef de projet SQL SERVER
Compétences
UNIX SOLARIS
WINDOWS SERVER 2003
WINDOWS SERVER 2008
Expériences professionnelles
  • ExperienceS
    Freelance (since January 2007)

    Intermarche (April/2021 -):
    Role:
    Big Data/Spark Expert and Solution Architect
    Technical Environment:
    Improvement proposition about quality metrics, data governance, Cloud Resource cost reduction, resource monitoring, architecture patterns, infrastructure templates.
    Data sharing solution: design and implementation.
    Data Lake management: backup strategy, environment refresh.

    EDF (12/2020-02/2021, 50 days) :
    Role:
    Auditor
    Technical Environment:
    Elastic Stack, Java/Python, Jenkins
    Achievements:
    Audit of an Elasticsearch application (version 6.8, 400Tb of data, Cluster composed of 105 Nodes)
    Domain of Observability (Index Lifecycle Management), Streams of technical & application logs and measures.
    Revue of Java & Python code (DevSecOps best practices)
    Revue of Elasticsearch Data Model (Static/Dynamic schemas, usage of Analyzers, Indices usage, Fields normalization and naming, ECS compatibility, Continuous Aggregation …)

    Banque de France (August 2017- March 2021) :
    Role:
    Big Data/Spark Expert
    Technical Environment:
    Hortonworks HDP, Hive/LLAP, Tez, Spark, Sqoop, Kafka, Java, Python, Kubernetes, OpenShift, Zeppelin, Jenkins
    Achievements:
    Hortonworks platforms administration (HDP 2.x - 3.1, HDF 2.x - 3.x): Installation, clusters configuration, security configuration (kerberization, data encryption), service management, designing and configuring queues, HDFS and Yarn sizing, configuring Knox and Ranger, clusters monitoring
    Defining the best practices for Hive (partitions, bucketing, ACID and LLAP) and for Spark.
    LLAP configuration and resources allocation
    Architecting the ingestion strategy (batch & near real-time process, Change Data Capture, Streaming, Triggers)
    Architecting a pricing assets application on an open source and distributed environment
    Installation of a Spark Cluster on Kubernetes
    Designing and Deploying Elasticsearch indices and analyzers for an internal application
    analysis, optimization, performance improvement and data anonymization (Java, spark, Hortonworks)
    Designing Kubernetes Patterns for database systems, logging systems and monitoring systems (Postgres, Barman, Filebeat, Elasticsearch, Logstash, Kibana, Fluentd, Prometheus, Grafana etc., Kafka, Pulsar)
    Auditing many Big Data applications and Pipelines (Sqoop, Hive, Spark, Elasticsearch, HBase, Tez)
    Optimizing many Spark, Hive/Tez applications/Pipelines in Java and Python
    Defining Python best practices
    Proposal about Big Data Ingestion strategy
    Designing the Data lake, data type zones (Silver, Bronze, Gold and Sensitive), Data Catalog and Lineage.
    Adding a new functionality to AWS Deequ (Data validation Development in Spark and Scala)
    Customization of Spark (SDL & VTL parser) for ECB Anacredit application.
    Migration Affects from HDP 2.6.3 to CDP-Cloudera Runtime 7.2.6: What projects have to change (HiveQL, Spark, etc.)
    Audit Java code and Elasticsearch Data model (ILM, logs and Metrics)

    Next Challenge (2016 – 2017):
    Role:
    Managing a Big Data and Data Science training team
    Technical Environment:
    Cloudera CDH, Kafka, Pulsar, Cassandra, MongoDB, Scala, Python
    Achievements:
    Designing a training program in Big Data domains
    Advising and Helping customers for choosing and setting Big Data Architectures (Lambda, Kappa, Zeta, SMACK, DataLake)

    Orange-CloudWatt (2016):
    Role:
    Product Owner for BigData As A Service
    Technical Environment:
    OpenStack
    Achievements:
    Setting up many Hadoop production environments (Cloudera, Hortonworks, MapR)
    Managing requirements
    Management of schedule and defining priorities
    Benchmarking Hadoop Distributions (Cloudera, Hortonworks, MapR)
    tags in elastic search feeding an oriented graphics internet browser

    Umanis (2015 – 2016):
    Role:
    Big Data Architect
    Technical Environment:
    Cloudera CDH, SAP Hana, Elasticsearch
    Achievements:
    Designing a big data architecture (lambda architecture) for data integration including Hadoop cluster, SAP Hana Cluster and Talend Data Integration
    Development of a near real time analytical dashboard with Seller performance graphics and objectives alignment
    Design of a system to predict incomes in the future using spark machine learning to access historical data and others environmental data like weather and holidays
    Crawling many internet sources about Arab world political, social and cultural blogs and newspaper in arabic, french or english. Storing the data on a Hadoop cluster and indexing them with Elasticsearch. Improving the search function of Elasticsearch by generating dynamic multilingual thesauri based on the Deeplearning model

    Amundi (2012 – 2015):
    Role:
    Database Architect
    Technical Environment:
    Oracle, Sybase, Ingres, MS SQL Server, MySQL, MongoDB
    Achievements:
    Administration of MongoDB NoSQL database: Installation, Performance, Optimization, Backup and High Availability of the system.
    Administration of Oracle, Sybase, Ingres, MS SQL Server and MySQL Databases.
    Collecting Financial Data from databases and Internet Financial Sites.
    Data quality analysis, provisioning building pricing using Neuron Network Models and Machine Learning Algorithms.

    Société Générale (2007 – 2011):
    Role:
    Database Architect
    Technical Environment:
    Oracle, Ingres, MS SQL Server
    Achievements:
    Role:
    Database Administrator
    Technical Environment:
    Unix, Windows, Oracle, Ingres, MS SQL Server
    Achievements:
    Architecting and administrating many Databases (Oracle, MS SQL SERVER, MySQL)
    Participation in the setup of Michelin Data Center of Europe (Oracle Database)
    Conception and Designing an Archiving/Unarchiving Manager for Oracle Databases (Thomson)
    Database (Oracle, Sybase) Administration and performance analysis (Cegetel)
    Database (Oracle) Administration and Upgrading (Sanofi)

    Tunisian Minister of High Education & Research (2003 – 2007):
    Role:
    Professor/Researcher
    Achievements:
    Head of Computer Science Department
    Teaching C++/Logic/Databases/Algorithm courses
    Natural Language Processing Research
    Managing the Computer Science department


    Neuroware (1997 – 2003):
    MongoDB Certified Developer Associate, 2014
    CISM (Certified Information Security Manager), ISACA – 2011
    CobiT Foundation Certificate, ISACA - 2011
    CISA (Certified Information System Auditor), ISACA – 2010
    OCA (Oracle Certified Associate), Oracle – 2003

    Arab World Institute - Paris (1992 – 1997):
    Role:
    NLP Researcher
    Achievements:
    Development and design of tools relating to Natural Language Processing
    Development and design of tools for automatic document classification
    Automatic Translation English- French- Arabic
    Automatic full form Dictionary construction
    Design and Programming a C++ library for Neural Network Algorithms

Études et formations
  • Skills

    Data Science
    Natural Language Processing (NLTK, GenSim, spaCy, sparkNLP)
    Deep Learning (TensorFlow, Theano, Keras)
    Machine Learning (SparkML)

    Big Data
    Hadoop Ecosystem (Cloudera, Hortonworks)
    NoSQL Data Stores (MongoDB, Cassandra)
    Elastic (Search, Logstash, Kibana)
    Data Streaming (Kafka, Pulsar and Spark)

    Data Management
    Data Quality (Talend, AWS Deequ)
    Data Integration (Talend, Azure Data Factory)

    IT Governance
    Enterprise Architecture
    Cobit
    Project Management (PMI, Agile - SCRUM)
    Data Analysis

    IT System & Cloud Administration
    Database Administration
    Oracle, MS SQL Server, MySQL, SAP Hana
    Operating System Administration
    Windows server, Linux Centos
    Big Data Environment
    Hadoop (Cloudera, Hortonworks)-HDFS-YARN, Spark (Core, SQL, Streaming, ML, GraphX, Scala, Python), MapReduce (Hive, Pig), Flume, Kafka, MongoDB, Container (Docker, cgroups), Mesos, Kubernetes, OpenShift
    Programming Languages
    C++, Java, Python, Scala
    Cloud
    Openstack, Kubernetes, AWS, OpenShift, Azure

    Azure: Databricks/Spark, Data Factory, SQL Database, Data Lake, Blob Storage, EvenHub
    Achievements:
    Azure Databricks pipelines Optimization, Audit, Best Practices
    Azure Data Hub Architecture improvement adding the usage of Delta Lake (ADLS Gen2), Metadata management and the Document Architecture process.
    Data quality improvement with Data Profiling, Data Validation and Data Observability (Deequ: Spark Library)
    CI/CD pipeline review and development of Best Practices.
    Testing and validating the usage of sqoop for data ingestion from Relational Database Management Systems (Oracle, Postgres, MS SqlServer) to the DataLake within Secure and Authenticate Connections.
    Kafka qualification for data streaming and real-time data analysis.
    Audit, qualification and designing Big Data development environment and integration with Hortonworks Data Platform (Hadoop) for a Data Lake use case (Pig, Sqoop, Hive, Spark, HBase, Elasticsearch,…)
    Spark pipelines
    Defining recommendations for customers using Orange Cloud Platforms
    Setting the pre-configured versions with optimized operating system and Hadoop parameters
    Developing the Cloud distributed image factory process
    Designing technical architecture for huge volume cluster
    Architecting some data science use cases for customers: Crawling social networks, storing data in Hadoop Distributed File system, processing fixed image with spark and tagging them automatically, Inserting the produced
    Defining best practice for database administration
    Establish the team organization
    Developing database infra structure Architecture
    Managing DBA team
    Developing the roadmap
    Managing the schedule

    Education
    PhD, Paris 11 (October 1988 - 1992)
    PhD in Computer Science
    Master, Paris 11 (1987 - 1988)
    Master in Electronics and Computer Science

    AWARDS and Certificate
    Databricks training: Certificate of Completion of Apache Spark Tuning & Best Practices, June 2019
    Certificate in Deep Learning, Coursera, 2018
    Togaf 9 Level 1 & 2 Certificate, the Open group, 2015
    Zachman Certified, 2014

    Language
    English, French and Arabic

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