Working for Belgium's most important communications companyResponsibilities:- Conceive and build data architectures- Influence in the short/mid/long term vision of the overall system- Execute ETL processes from complex and/or large data sets- Ensure data are easily accessible and that their exploitation is performing as requested, even in highly scalable circumstances- Participate to the architecture and planning of the big data platform to optimize the ecosystem’s performances- Create large data warehouses fit for further reporting or advanced analytics- Ensure robust CI/CD processes are in place

International consulting services working in banking companiesThe technologies to be highlighted in this project are the following: Azure, Databricks, Spark.Keywords: Technology, Data Engineering, IT

- Modify design of data pipeline- Architecture proposals- Development of Big Data solutions- Data analysisSpark, HDFS, Openshift, Java, Docker, Kafka, Git

Freelance work on real-time projectsPlatfoms: Ambari, ConfluentFrameworks: Spark Structured Streaming, Kafka, Kafka Registry, HBase, HDFS, YARN, Hive, GitLanguages: Scala, Bash

Consulting services for internacional telecommunications company:- Build and maintain robust data pipelines to ingest, transform, and load data from various sources. Ensure data quality, consistency, and reliability throughout the pipeline.- Implement data transformation logic to clean, enrich, and transform raw data into structured formats suitable for analysis and reporting. Leverage ETL/ELT processes as needed.- Maintain clear and comprehensive documentation of data pipeline designs, processes, and configurations to facilitate knowledge sharing and future maintenance.- Collaborate with data scientist for the implementation and deployment of different solutionsUNIX, Cloudera platform. SCRUM agile methodology. Frameworks: Apache Spark, Sqoop, Hive, HDFS, Impala, YARN, OracleProgramming languages: Scala, Kotlin

Ensuring development aligns to agreed standards and is of a high qualityEvaluating and adopting new techniques to advance the platformWorking with product and operations teams to streamline processesMicrosoft Business Intelligence Consulting : SSIS, SSRS, SSAS & SQL Server

Costs, quality and delivery deadlinesContact with suppliers in order to be up-to-date concerning the project procedureCommunication with suppliers and business partners on an international level