Data Engineer / Migration Tech Lead

CEVA Santé Animale

Assessed the company-wide data platform and helped define its re-platforming roadmap to Snowflake. Designed a pragmatic migration strategy combining Lift & Shift with targeted redesigns where incremental processing was critical, with the objective of simplifying the stack, reducing operating costs and decommissioning legacy ingestion, transformation and visualization tools.

Environment: Azure, GCP, AWS, Snowflake, Databricks, Azure Data Factory, BigQuery, Oracle, SQL, dbt, Power BI, Airflow, Kafka, Delta Lake, medallion architecture.

Data Engineer / Python Developer

ACC

Supported the industrialization and scaling of an application used to process and analyze electric-battery test signals. Improved performance to significantly reduce processing time and advised the team on effective PostgreSQL usage, resource sharing and database practices.

Environment: Python, Pandas, PyCharm, PostgreSQL, Databricks, Delta Lake, GitLab.

Technical Lead / Spark & Scala Expert

Amadeus

Designed and implemented a medallion architecture based on Data Vault 2.0: incremental ingestion, Raw Vault Hubs, Links and Satellites, historization and traceability. Built the Business Vault with business rules and PIT tables, then delivered Star Schema datamarts. Optimized Spark/Scala workloads on Databricks and Snowflake to improve performance and reduce costs. Also supported several ETL projects, modernized legacy applications and shared engineering best practices across teams.

Environment: Scala, Java, Python, Spark, Azure, Databricks, Snowflake, SQL, Kafka, EventHub, Terraform, Jenkins, Bitbucket, Data Vault 2.0, Star Schema.

Spark / Scala Expert

Groupe BPC

Developed ETL applications and tooling for a BI data warehouse. Migrated applications from Hortonworks HDP 2.6 to 3.1, including major Maven refactoring; built a Scala/Bash/Hive data-migration tool; audited a Moody's Spark-based ERP; and improved shared libraries through simplification and deduplication. For a counter-terrorism financing project, developed a REST service and HBase model querying 3 million records in under 10 ms.

Environment: Spark, Hive, HBase, HDFS, Scala, Java, Spring, Git, Maven, Bash, Jenkins.

Scala Expert

SRR (Altice)

Joined the backend team during a complete ERP/CRM redesign. Trained developers in Scala and engineering best practices, then designed and implemented the Order Manager from scratch. This central microservice component managed business workflows, monitoring, failures, automatic recovery, scheduling, replay, pause and rollback using the Saga pattern, while providing extensible standards for new tasks and workflows.

Environment: Scala, Akka, Kafka, REST, OpenAPI, Slick, PostgreSQL, Oracle, Docker, Protobuf, JSON, ELK, reactive and event-driven microservices.

Spark Expert

MycomOSI

Designed, developed and deployed a new Spark Structured Streaming application for telecom network monitoring. Processed high-frequency events in real time under tight resource constraints while ensuring scalability, high availability, data continuity, robustness and exactly-once semantics.

Environment: Scala, Spark Structured Streaming, Kafka, Elasticsearch, Redis, OpenShift, Docker, AWS, REST, ELK, microservices, graph theory, distributed systems.

Big Data Engineer

Air France

Designed and developed the backend of a real-time 360-degree customer view and travel-recommendation platform. Finalized the POC, defined operational scenarios (initialization, backup, retry and replay), created the Java foundations on Spark Streaming, implemented real-time ingestion from multiple sources, and designed MongoDB indexing and sharding. Addressed production constraints including zero data loss, corrupted data, event synchronization, memory issues and minimal downtime.

Scale: 500 million messages, 30 million customers, 30 GB/day, 15 data sources. Environment: Spark, Hadoop YARN, Kafka, MongoDB, HBase, Java, JSON, Git, Bamboo, Kibana.

Hadoop Developer

Médiamétrie

Developed Hadoop data-processing pipelines for Internet audience measurement and cross-media analytics. Implemented Java MapReduce jobs for extraction, loading, transformation, filtering and aggregation; exported data to Oracle through Sqoop; and achieved a 6x performance improvement. On the PaME project with Google, developed web-analytics modules using Pig and Java UDFs and set up automated testing and continuous integration.

Environment: Hadoop, MapReduce, Java, Pig, Hive, Oracle, Sqoop, Git, Jenkins, Cucumber, FitNesse, XML, JSON, Avro.

Big Data Software Engineer

Orange

Industrialized an R&D solution for building and using web-user profiles for targeted advertising and personalized content. Owned the ETL phase processing DoubleClick advertising-server logs on Hadoop, defined schemas and workflows, implemented data-quality controls, regression tests and continuous integration. Also delivered a DFP6 mobile-log processing pipeline producing audience and advertising indicators for an internal BI platform.

Environment: Hadoop, MapReduce, Pig, Hive, Oozie, Python, Java, SQL, Bash, NoSQL, Business Intelligence, Jenkins.

Data Engineer/Architect

Profile attachments

Experience

Languages

Project history