Tresor Lukaku Katanu

Mission Context:

Within the IT Technical Directorate's organization, the structure called Operational Edition Governance (GOE) is responsible for supporting software development carried out by functional entities, and relies on 4 entities: Development Foundation, Software Architecture, Performance Expertise Center, and DBAs&Foundations.

The main missions consist, on the one hand, of supporting teams in data model design, administering databases and database engines, and building the SGBD, Business Intelligence, and Big Data foundations.

Actions Taken:

➢ Technical Architecture:

• Implementation of guiding principles for the use of Cloudera clusters

• Verification of the proper application of norms and standards

• Proposal of evolutions and solutions to improve industrialization

➢ Administration

• Configuration of the Cloudera cluster according to identified needs

• Monitoring of storage spaces

• Optimization of data loading

• Security maintenance

➢ Integration

• For new needs, study and proposal of solutions, implementation of validated solutions

• Data migration

➢ Technical Support

• Maintenance in operational condition of infrastructures and software components of the cluster

• Assistance to teams: Optimization of processing, familiarization with tooling

• Data loading

• Knowledge transfer through documentation writing and knowledge sharing

➢ Business Intelligence Support

• Assistance to Business Intelligence IT teams in platform evolution

• Collection and analysis of needs

• Description and analysis of the current platform

• Proposal of evolutions and development of technical and software architecture documents

Technical Environment Used: Hadoop Cloudera, Shell, Spark, Hue, Hive, Python, Scala, Ansible, HDFS, pyspark, Apache Airflow, PowerBI, Sql, Openshifts, Docker, Kubernetes, Gitlab

Mission Context:

In order to improve the understanding of data in its DataLake and DataWarehouse, foster data culture within the company, and conduct a study on Key Performance Indicators (KPIs) and data completeness, I was consulted by BOUYGUES TELECOM to provide my expertise on the subject.

Actions Taken:

• Project timeline

• Modeling approach

• Data documentation

• Data dictionary methodology

• Data Lineage, Data Management, Data Marketplace

• Case studies - KPI monitoring and data completeness indicators

• Data migration

Technical Environment Used: DataGalaxy (Data Catalog), COLIBRA, Docker, Scala (sbt), Java, Spark (pyspark), GCP (BigQuery), Sql, ETL (Talend), GitLab, Kubernetes

Mission Context:

• Development of technical, functional, application, and cloud architectures.

• Technical scoping, technical documentation, costing, and estimation for the remaining work on the project.

• Definition of the technical foundation. Contribution to development,

• DevOps and SecOps Deliverables:

• Restitution documentation for the remaining work.

• Technical Stack: Google Cloud Run, Google Cloud Composer, BigQuery, Cloud Storage,

• Terraform, DataDog, Github, Github CI/CD, Cloud

Technical Environment Used: GitLab, Scala, Spark, BIGQUERY, GCP (BigQuery), Snowflake, Devops, Mlops, Ansible, Kubernetes, Elasticsearch, OpenShift, GitLab, Docker, Google Cloud Composer