Philippe D.

Umicore:

Worked on data engineering and analytics with TimeXtender, Power BI, and DBT. Maintained pipelines designed by enterprise-scale teams. Cross-departmental problem solving. Provided top-notch technical expertise in building a viable and scalable solution for handling project management at the European level with strong focus on data quality using Talend, Knime, Qlik, Postgres, and some raw data engineering magic.

Belfius: Trained various profiles on Qlik Sense for the official courses on Data Visualization as well as Data Architect.

Client (Financial Sector): Led the development of interactive dashboards and key business reports using Power BI for senior management. Worked closely with stakeholders to understand reporting needs and translated them into scalable data models. Implemented DAX measures and Power Query transformations to support dynamic, self-service analytics. The project focused on enhancing data accessibility and empowering decision-making through well-structured visualizations and optimized performance.

Banque du Luxembourg: Delivered tailored Qlik Sense visualization training to diverse professional profiles at the Bank of Luxembourg, including analysts, HR personnel, and the Head of Compliance

Bruxelles-Formation: Trained a small team in using TimeXtender to build, optimize, and maintain a data warehouse tailored to their needs, while linking it to Qlik Sense for data visualization. Designed the architecture of the database, providing engineering expertise to align technical solutions with business requirements. Streamlined data modeling and ETL processes by developing an optimized solution to ensure efficient and scalable solutions.

Tools: Qlik Sense, Timextender, Qlik Cloud, C#, Parquet, Oracle, Bigquery, SQL Server, PowerBI, Talend, Azure, Databricks, DBT, Snowflake, Python

Resolving Data Inconsistencies: Given the variety of data sources used for our internal analysis (including BigQuery, PostgreSQL, HubSpot, AdSense, etc.), we faced challenges such as data duplication, obsolete values, and null entries. Leveraged my technical expertise and passion for business intelligence to advocate for and implement a robust data lake infrastructure, ensuring a unified and accurate data repository.

Enhancing Data Visualization: Identified further issues within our data visualization tools, particularly Tableau. Conducted a comprehensive review and standardization of all visualization tools, ensuring data consistency. Optimized SQL queries, significantly reducing execution times and directly improving the team's analytical efficiency.

Developing Data Visualization: Created a suite of internal tools specifically designed to enhance our KPI analysis, streamlining the process and improving the accuracy and timeliness of our business insights.

Integrated several features in React/NextJS and converted legacy Ruby on Rails code to Typescript.