Freelancer profile translated to English.
Back to original languageAbout Pierre-Edouard
Telecommunications Engineer by training, I have been working in Big Data and NoSQL as a Data Engineer since graduating. I primarily work within the Hadoop, Amazon Web Services (AWS), and Google Cloud ecosystems to implement Big Data projects from conception to industrialization.
I am particularly autonomous and have a strong business sense, which allows me to always place technical needs in their context. My experience in small organizations has given me a strong understanding of agile methodology and the ability to quickly assimilate new technologies.
I am particularly focused on project industrialization, the delicate transition from Proof of Concept to production. For me, this is the critical step in every project.
My main skills are as follows:
- Ecosystems: Hadoop, Google Cloud, AWS
- Languages: Java (+++), Python (+++), Nodejs (++), Scala(++), Rust(+)
- Databases: PostgreSQL, Redis, MongoDB, Elastic Search, Druid, Neo4j, Hadoop: Kafka, HBase, Hive
- Project types: Batch or real-time data streams, Webservices, Lambda, Kappa, and Datalake architectures, ELK stack, Cloud migration
- The little extras: Spark, Storm, Kubernetes & Docker, Ansible, Terraform, Jenkins
French
Native or bilingual
English
Fluent
Spanish
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Smart AdServerData EngineerSOFTWARE PUBLISHINGOctober 2021 - Today (4 years and 9 months)Paris, France- Optimization of Flink pipeline to Google Storage (Scala)- PoC and estimation of future operating costs for migrating existing high-volume pipelines to Google Cloud (BigTable, Dataflow, BigQuery)- Implementation of new infrastructures on Google Cloud via Terraform
- ONTEX SANTE FranceData EngineerHEALTH AND WELLNESSJanuary 2020 - May 2021 (1 year and 5 months)Levallois-Perret, France- Design, Development, and Evolution of the Little Big Change services Data Warehouse in collaboration with business and Web teams. (PostgreSQL, Python, pySpark, AWS, and Docker via Terraform)- Design, development, and evolution of the A Lovely Day service Data Warehouse- Data analysis using Python and Pandas
- Capgemini Technology Services
On Malt
Hadoop Design/AMOA Mission at EDF CommerceENERGY AND UTILITIESDecember 2018 - December 2019 (1 year)Puteaux, France- Analysis of EDF's Big Data needs and collaboration on Capgemini's response to the call for tenders- Architecture, Design, and deployment of consent collection systems within the framework of GDPR (HBase, Spark, Kafka, Elasticsearch, Kibana)- Architecture, Design, and deployment of systems for calculating scores and costs related to navigation, performance, and costs of all EDF online advertising campaigns (Oozie, Spark, Elasticsearch, Hive, HBase, HDFS)- Analysis, Data Quality, and automation of data quality controls within the various existing pipelines
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Education
- Engineering DegreeTelecom SudParis2014Spécialisation «Communication Networks and Services» en 3ème année portant sur la connaissance des réseaux fixes et mobiles de dernière générations ainsi que sur la conception de services innovants exploitants ces nouveaux réseaux