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Hamza ZBAIR

Hamza ZBAIR

Tech Lead Data / Cloud Data Architect

31 years old
Driving License
Paris (75013) France
Freelancer Just looking around
A dedicated data expert with a passion for uncovering insights and driving business growth. As a certified Google Cloud Professional Data Engineer and Terraform Associate, I have over 6 years of experience in data engineering, data analysis, and machine learning on GCP designing and building end-to-end solutions.

As a detail-oriented and reliable professional, I consistently strive to exceed client expectations by delivering high-quality, data-driven solutions within deadlines. My analytical mindset and strong problem-solving skills enable me to tackle complex data challenges and turn them into actionable insights.
Experiences
  • Assessing clients' data needs and infrastructure to identify gaps, opportunities, and areas for improvement.
  • Designing and implementing scalable and efficient data pipelines, ETL processes, and data warehousing solutions to facilitate seamless data integration and management.
  • Collaborating with cross-functional teams and stakeholders to ensure data-driven solutions align with business objectives and requirements.
  • Providing expert guidance and recommendations on data best practices, tools, and technologies to enhance clients' data capabilities and drive continuous improvement.
  • Design and Implementation of a new hybrid architecture (private cloud and GCP) to better meet the infrastructure and agility needs of Natixis IM.
  • Implementation of the CI/CD chain on the cloud using the group's tools (XLDeploy, XLRelease, Jenkins and Terraform).
  • Centralization of data and optimization of costs related to current and future Natixis IM contracts by designing and implementing a Central Data Repository (CDR).
  • Standardization of Tableau Server as a business intelligence (BI) solution within Natixis IM.
  • Definition of internal processes for the industrialization of use cases.
    • Integration of Informatica cloud within Natixis IM for :
      • Automate structured data retrieval.
      • Control the risks associated with malfunctioning pipelines.
      • Control data quality with Informatica Cloud Data Quality (ICDQ) and make the analysis available in Salesforce as well as the creation of different alert systems for the monitoring.
  • Lead and contribute to the design and development of cloud-based data systems.
  • Assist the business in its data transformation and carry their projects.
  • Assist Natixis IM production support teams to adopt the best practices and train them on cloud (GCP) and data technologies.
  • Manage and optimize cloud-based systems used for existing projects.
  • Provide cloud data systems expertise for proposals and other business development efforts.
    • Design and development of :
      • A Tag system in collaboration with the marketing and sales teams to be able to track the interests of our customers in Salesforce.
      • Based on client’s interactions (both sales & digital), calculate client engagement scores to generate new leads by identifying those who are willing to react the most to our actions and prevent churn.
      • A search engine based on the scoring of Natixis IM clients to better segment them, target them and meet their needs.
      • Alerting system for Natixis IM sales staff to monitor movements in the performance of internal funds compared to competitors in order to anticipate any movements of Natixis IM clients.
      • Pipelines for retrieving, processing and storing market data from Morningstar, Mercer and S&P into our Datalake.
      • Sentiment scoring of articles about the asset management industry to detect bad news related to our competitors and our customers.
      • A module to project the performance of competitors' funds over the coming month in order to detect funds in difficulty.
  • Complex correlations study between market data and customer behavior in asset management
  • Managed interns, working on topics such as Asset Flow prediction, NLP Automation for Competitor Annual Reports ESG reports
  • Organised Data Challenges in collaboration with other DataLab teams at Natixis SA.
    • Applying data science Framework :
      • Identification of useful data,
      • Data preparation, cleaning and management,
      • Identification/implementation of the most fitted machine learning algorithms,
      • Benchmark models,
      • Validation of models based on business metrics and industrialization.
  • For the following use cases :
    • Customers risk scoring for credit granting.
    • Prediction of repayments incidents for leasing contracts.
    • Detection of weak signals: predict Moody's, Standard and Poor's and Fitch Rating changes for corporates based on news.

Data Science Summer School 2019

École Polytechnique

May 2019 to August 2019

Master, Big Data and machine learning

Université Paris VIII

September 2016 to September 2018

Engineer's degree in computer science and information systems security

École nationale des sciences appliquées

September 2011 to June 2016
Certifications

HashiCorp Certified: Terraform Associate

25/01/2023

Google Cloud Certified Professional Data Engineer

19/12/2022
Languages
  • English
    Professional working proficiency
  • French
    Bilingual proficiency
  • Machine Learning
  • Descriptive Analysis
  • NLU
  • Sentiment Analysis
  • Deep Learning
  • NLP
  • Text classification
  • PySpark
  • Cloud Composer (Airflow)
  • Vertex IA
  • Cloud Storage
  • Pub/Sub
  • Cloud Dataproc
  • Cloud SQL
  • BigQuery
  • Filestore

AWS

  • Redshift
  • Atehna
  • S3
  • Glue
  • Sagemaker
  • EMR
  • Informatica Cloud
  • Dataprep - Trifacta
  • Tableau Software
  • MS Power BI
  • MySQL
  • PostgreSQL
  • SQL Server
  • Oracle
  • C/C++
  • Bash
  • Python

CRM

  • Salesforce
Interests

Motorcycle

  • Road trips

Photography

  • Portrait
  • Landscape
  • Astro