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Ousmane CamaraOC

Ousmane Camara

Senior Tech Lead Data & Cloud

€750/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Ousmane

Senior Tech Lead Data & Cloud with over 10 years of experience in designing, industrializing, and transforming strategic Data platforms in Cloud and Big Data environments. AWS, Spark, Data Lakehouse, and Data Platform Architecture expert, I act as a technical referent, application lead, and guarantor of delivery for critical high-volume products. My experience covers the entire lifecycle of Data platforms: business scoping, architecture, governance, industrialization, production deployment, operation, and continuous improvement. I support teams in implementing technical standards, industrializing developments, and securing Data transformation trajectories.
  • French

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • SNCF Connect
    Senior Tech Lead Data & Cloud / Senior Consultant Engineer
    TRANSPORTATION
    August 2023 - Today (2 years and 11 months)
    Saint-Denis, France
    Senior Tech Lead Data & Cloud with over 10 years of experience in designing, industrializing, and transforming strategic Data platforms in Cloud and Big Data environments. AWS, Spark, Data Lakehouse, and Data Platform Architecture expert, I act as a technical referent, application lead, and guarantor of delivery for critical high-volume products. My experience covers the entire lifecycle of Data platforms: business scoping, architecture, governance, industrialization, production deployment, operation, and continuous improvement. I support teams in implementing technical standards, industrializing developments, and securing Data transformation trajectories.
    PySpark Amazon Web Services Python Scala Terraform
  • Technical LEAD BIG DATA & Cloud Engineering
    / Senior Consultant Engineer
    BANKING AND INSURANCE
    March 2021 - June 2023 (2 years and 3 months)
    Puteaux, France
    Objective:
    • Team supervision
    • Implementation of good development practices
    • Participation in application development
    • Responsible for production deployment
    • Analysis of business requirements (BRs)
    • Project scoping and management
    • Scrum Master Development and industrialization of anti-money laundering (AML) and counter-terrorism financing (CTF) applications for the ABS (AML Behavior Spotting) scope.
    Subjects addressed and completed:
    Various modules created and deployed in production:
    • ABS FT (Terrorism Financing): Bank transactions (Transfers, Direct Debits, Credit Cards, Account Closures, etc.) and Individuals
    • ABS Crypto: Bank transactions for cryptocurrency (Transfers, Credit Cards, Account Closures, etc.), Individuals, and Legal Entities
    • ABS Asso: Association bank transactions (Transfers, Direct Debits, Credit Cards, Account Closures, etc.) and legal entities
    • ABS Collect: collection of source data
    • ABS Networks: customer behavior monitoring (Individuals & Legal Entities). Transactions made by customers are analyzed and potential weak signals are identified.
    • ABS Transaction Monitoring: for the three main scenarios (FT, ASSO & CRYPTO), daily monitoring is carried out by counting the number of lines generated by each process.
    • ABS FT GUI: the GUI contains the list of terms (Cards, Transfers, Direct Debits, etc.) used for weak signal detection. Three banks concerned:
    • BDDF (Retail Banking in France) CAMARA
    • Boursorma (online bank)
    • CDN (Crédit du Nord)
    Legal merger of BDDF and CDN banks
    Technical Environments:
    • Frameworks: Hadoop & Spark
    • Distribution: Hortonworks & Cloudera
    • Languages: Java, Scala, Shell
    • Others: Hive, Elasticsearch, Kafka, SonarQube, Nexus, Jenkins, AWX, Hue, Oozie, PostgreSQL, etc. Agile methodology: Scrum
    Hadoop Scala Spark Python Big Data
  • BPI
    BIG DATA / Cloud Engineer / Data Scientist
    BANKING AND INSURANCE
    September 2019 - February 2021 (1 year and 5 months)
    Maisons-Alfort, France
    Objective:
    • Writing the anomaly report
    • Building the data feeding foundation
    • Ingestion of source data (Data Raw & Data Table)
    • Modeling and populating the business object model (BOM)
    • Modeling and populating the usage object model (UOM)
    • Building Datamarts to meet business needs
    • Building reporting on QuickSight & Qlik Sense Industrialization of a Data Centric platform in the AWS Cloud. Subjects addressed:
    • Alternative Investment Funds (AIF): Summary File & Article 89 Reporting
    • Fund of Funds Monitoring (SFF): Weekly Light Reporting & Business Review
    • Investment Vehicle Monitoring (SVI): Valuation by instrument & ANATITRE Reporting
    Achievements:
    • Building the data feeding foundation on AWS
    • Ingestion of source data into Data Raw and Data Table via S3, Redshift & Aurora
    • Modeling and populating business and usage object models (BOM & UOM) on Redshift
    • Building datamarts to feed tables and applications for business users via Aurora, Athena & Glue.
    • Reporting visualization on QuickSight & Qlik Sense
    Amazon Web Services Cloud computing Big Data PySpark Matillion

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Education

  • Master of Data Science
    Master of Data Science
    Master 2 BIG DATA & Data Science
  • Master 1 Computer Engineering
    Master 1 Computer Engineering
    Master 1 Ingénierie Informatique

Skill set

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