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Personal Information
Name: Sofie Van den Broeck
Address: Kortrijksepoortstraat 5, 9000 Ghent, Belgium
Email: sofie.vandenbroeck@example.com
Phone: +32 498 12 34 56
LinkedIn: linkedin.com/in/sofievdb
Professional Summary
Driven Data Engineer with over 5 years of experience designing, implementing, and optimizing data platforms. Specialized in ETL processes, data warehousing, and cloud solutions. Strong analytical skills and a passion for data-driven decision-making.
Work Experience
Data Engineer
TechNova Solutions, Ghent
September 2021 – Present
- Designed and maintained data lakes on AWS (S3, Glue, Redshift).
- Developed ETL pipelines using Apache Airflow and Python.
- Implemented data integrity checks and optimized query performance.
- Collaborated with data scientists to support machine learning workflows.
- Mentored junior data engineers and coordinated releases with DevOps teams.
Junior Data Engineer
DataInsights BVBA, Ghent
January 2019 – August 2021
- Assisted in building an Azure Data Factory pipeline for data source integration.
- Wrote SQL queries and optimized existing stored procedures.
- Created Power BI dashboards to visualize KPIs for internal stakeholders.
- Conducted data extraction and transformation tasks using Python and Pandas.
Education
Master of Computer Science
University of Ghent
September 2016 – June 2018
Graduated with distinction, specializing in Data Technology.
Bachelor of Informatics
University College Ghent
September 2013 – June 2016
Focused on software development and databases.
Technical Skills
Programming Languages: Python, SQL, Java
Big Data: Apache Spark, Hadoop
Databases: PostgreSQL, MySQL, Redshift
Cloud: AWS (S3, Glue, Redshift, EC2), Azure (Data Factory, Data Lake)
Tools: Apache Airflow, Docker, Kubernetes
Data Visualization: Power BI, Tableau
Certifications
- AWS Certified Solutions Architect – Associate (2022)
- Microsoft Certified: Azure Data Engineer Associate (2021)
Projects
- Real-time Streaming Data Pipeline: Implemented using Kafka and Spark Streaming for e-commerce data.
- On-Premise to AWS Redshift Migration: Managed a full migration of a legacy data warehouse, including redesign of ETL processes.
- Anomaly Detection Model: Developed in collaboration with the data science team to detect fraudulent transactions.
Languages
Dutch: Native
English: Fluent
French: Intermediate