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Zakaria El BouziriZE

Zakaria El Bouziri

Data Solutions Architect

€780/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Zakaria

Data & Cloud Architect — I help teams deliver performant, traceable, and cost-effective data platforms, from scoping to production.

I am a Data & Cloud architect (12+ years) specializing in banking/insurance and critical environments. I provide end-to-end support: strategy, target architecture, delivery, and skills transfer. My obsession: platforms that meet their SLAs, pass audits, and optimize costs.

What I bring
• Measurable business impact: reduced time-to-data, increased reliability, controlled costs (FinOps by design).
• Robust & modern architectures: Lakehouse/Data Mesh, real-time & batch, integrated governance/quality/lineage.
• Execution excellence: CI/CD data, MLOps, observability, security & compliance (GDPR, BCBS 239), 10-year retention, RTO ≤ 4h, RPO ~ 0h.
• Coaching & upskilling of teams (operations, data engineering, product).

Challenges I solve
• Technical debt and fragile pipelines → standardization, testing, and observability.
• Escalating Cloud costs → performance/cost-oriented design, autoscaling, storage tiers, right-sized jobs.
• Unclear governance → catalog, lineage, access, roles, and clear controls.
• Projects that don't reach production → delivery guided by SLAs and realistic run plans.

Why I stand out
• End-to-end vision (architecture + operations + compliance) and product sense.
• Performance culture (Spark/SQL optimization, partitioned models, caching, pruning) and reliability (SLA/SLO, alerting, SRE mindset).
• Pragmatic Hybrid/Multi-cloud (on-prem Exadata Cloud@Customer ↔ AWS/Azure ↔ Snowflake), integration with existing IT systems.

Stack & playgrounds
AWS/Azure, Snowflake, Spark, Kafka, Airflow, Delta/Iceberg, Terraform, Kubernetes, Oracle Exadata, Java/Scala/Python, dbt.

Engagement formats
Flash audit (architecture & costs), target blueprint + roadmap, delivery support, team coaching & best practice implementation.
  • French

    Native or bilingual

  • English

    Fluent

  • Arabic

    Native or bilingual

  • Spanish

    Conversational

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

Experience

  • CACIB
    DATA SOLUTIONS ARCHITECT
    BANKING AND INSURANCE
    February 2021 - Today (5 years and 6 months)
    Paris, France
    - Design and implement solutions that meet business needs.
    - Ensure a highly available and scalable architecture.
    - Optimize performance to meet SLAs, project schedules, and milestone constraints.
    - Present solutions and trade-offs to enterprise architecture to ensure compliance.
    - Ensure a high level of solution idempotency.
    - Test and select the best architectural patterns.
    - Challenge solutions to propose effective and frugal approaches without degrading the business experience.
    - Design and deploy a Spark log collection solution to Elasticsearch to facilitate analysis and monitoring.
    - Support tech leads and developers in resolving technical issues.
    - Identify and anticipate technical risks, propose solutions to ensure product quality.
    - Recruit technical profiles for the "Business Line Risk".
    - Collaborate closely with the business to translate needs into technical solutions.
    - Select solutions adapted to end-user requirements.
    - Implement best practices for code quality, documentation, and DevOps.
    - Coach and lead development teams in Paris, Lisbon, and Singapore.
    - Support developers in resolving technical challenges.
    - Configure Kubernetes manifests (YAML) in the CI/CD pipeline (Git-Lab CI, Artifactory, Argo CD, etc.).
    - Recruit technical profiles for the "Business Line Risk".
    - Optimize data pipeline performance.
    - Design stream pipelines for operational systems.
    - Conduct POCs to explore new solutions.
    Functional Environment: RISK, EAD, RWA, Basel 4
    Technical Environment: MapR, Hadoop, HDFS, Hive, Spark, JAVA, Python, XML, JSON, Shell, GITLAB, KUBERNETES, ELK, SPRINGBOOT, S3, PARQUET, ICEBERG, Argo CD, Argo WF, Oracle EXA CC, Trino, Logging Operator, fluentd/fluentbit
    Apache Spark Java Apache Iceberg Starburst Kubernetes
  • Natixis
    Senior Data Engineer/Scientist
    BANKING AND INSURANCE
    September 2018 - February 2021 (2 years and 5 months)
    Paris, France
    • Implementation of data ingestion jobs
    • Implementation of calculation jobs (Scala/Python - Spark)
    • Automation/industrialization of ingestion jobs
    • Development of exploitation connectors to ingest heterogeneous sources
    • Design of ingestion workflows
    • Writing mapping files
    • Writing technical specifications
    • Creation of Hive tables and associated tables (external/internal)
    • Performance optimization during execution via memory and worker count configuration
    • Management of deployment phases
    • Performance optimization via ORC/PARQUET formats
    • Design of a stream pipeline for operational systems
    • Data analysis and understanding to define features
    • Development of cleaning and storage jobs (PySpark)
    • Implementation of a real-time scoring API (Flask, Falcon)
    • CI/CD (MAVEN, GIT, BitBucket, Jenkins, XLDeploy)
    • Use of a GPU station (Docker) to accelerate tuning tests
    Functional Environment: RISK, Technical Environment: HortonWorks, Hadoop 2.6.4, Hive, Spark, Python, XML, JSON, Shell, BITBUCKET
    Python Apache Spark Neural Networks Artificial Intelligence Big Data
  • AttijariWafa BANK
    Senior Data Engineer
    BANKING AND INSURANCE
    February 2017 - September 2018 (1 year and 7 months)
    Casablanca, Morocco
    • Implementation of data ingestion jobs
    • Development of data analysis programs (Scala)
    • Automation of ingestion jobs
    • Development of exploitation connectors
    • Design of ingestion workflows (Oozie)
    • Participation in writing user stories
    • Definition of the order of processing based on the interaction of source systems
    • Writing technical specifications
    • Implementation of projects on Hadoop
    • Installation of the storage layer
    • Associated Hive creation
    • Optimization via partitioning and configuration
    • Batch applications
    • Populating HBase POCs
    Functional Environment
    Artificial Intelligence Hadoop Apache Spark API SQL/NoSQL

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Education

  • Engineering Degree
    ENSIAS
    2013
    Diplôme d'ingénieur
  • Mathematics, Physics, and Engineering Sciences
    CPGE
    2010
    mathématiques, physique et sciences de l'ingénieur

Skill set

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