- I am a Data Engineer who enjoys playing football in my free time.
- I have a passion for cooking and experimenting with new recipes.
- Photography is another hobby of mine, capturing moments and scenes that inspire me.
- I love hiking and exploring the great outdoors, connecting with nature.
- Reading fiction novels is a favorite pastime of mine, transporting me to different worlds.
Data Engineer, 2010 - 2013 at IBM
- Developed data pipelines and ETL processes to ingest and transform large volumes of structured and unstructured data.
- Implemented scalable solutions for real-time data processing using Apache Spark and Hadoop technologies.
- Collaborated with cross-functional teams to optimize data storage and retrieval mechanisms.

Senior Data Engineer, 2014 - 2017 at Google
- Led a team of data engineers in designing and implementing robust data infrastructure to support business intelligence and analytics initiatives.
- Designed and maintained data models for complex analytical queries and reporting requirements.
- Spearheaded the adoption of cloud-based data platforms like Google Cloud Platform for improved scalability and performance.
Experienced Data Engineer with a proven track record of designing and implementing scalable data pipelines for processing large volumes of complex data. Proficient in utilizing cutting-edge technologies to optimize data storage, retrieval, and analysis processes, resulting in actionable insights that drive business decisions.
- Title: "Efficient Data Processing Techniques for Big Data Analytics"
  Journal: IEEE Transactions on Knowledge and Data Engineering
  Year: 2008

- Title: "Scalable Distributed Systems for Real-time Stream Processing"
  Conference: ACM Symposium on Cloud Computing
  Year: 2010

- Title: "Optimizing ETL Processes in Data Warehousing Environments"
  Journal: Journal of Database Management
  Year: 2012

- Title: "Machine Learning Approaches for Anomaly Detection in Industrial IoT Data Streams"
  Conference: International Conference on Machine Learning
  Year: 2014

- Title: "Data Quality Assessment Framework for Large-scale Sensor Networks"
  Journal: Information Sciences
  Year: 2016

- Title: "Privacy-preserving Data Sharing Protocols for Healthcare Applications"
  Conference: IEEE International Conference on Data Engineering
  Year: 2018
- Bachelor of Science in Computer Science, Lund University, Sweden, 2005
- Master of Science in Data Engineering, Stockholm University, Sweden, 2008
Experienced Data Engineer with a proven track record of designing and implementing scalable data pipelines for processing large volumes of complex data. Proficient in utilizing cutting-edge technologies to optimize data storage, retrieval, and analysis processes, resulting in actionable insights that drive business decisions.
Data Engineer, 2010 - 2013 at IBM
- Developed data pipelines and ETL processes to ingest and transform large volumes of structured and unstructured data.
- Implemented scalable solutions for real-time data processing using Apache Spark and Hadoop technologies.
- Collaborated with cross-functional teams to optimize data storage and retrieval mechanisms.

Senior Data Engineer, 2014 - 2017 at Google
- Led a team of data engineers in designing and implementing robust data infrastructure to support business intelligence and analytics initiatives.
- Designed and maintained data models for complex analytical queries and reporting requirements.
- Spearheaded the adoption of cloud-based data platforms like Google Cloud Platform for improved scalability and performance.
- I am a Data Engineer who enjoys playing football in my free time.
- I have a passion for cooking and experimenting with new recipes.
- Photography is another hobby of mine, capturing moments and scenes that inspire me.
- I love hiking and exploring the great outdoors, connecting with nature.
- Reading fiction novels is a favorite pastime of mine, transporting me to different worlds.
- Bachelor of Science in Computer Science, Lund University, Sweden, 2005
- Master of Science in Data Engineering, Stockholm University, Sweden, 2008
- Title: "Efficient Data Processing Techniques for Big Data Analytics"
  Journal: IEEE Transactions on Knowledge and Data Engineering
  Year: 2008

- Title: "Scalable Distributed Systems for Real-time Stream Processing"
  Conference: ACM Symposium on Cloud Computing
  Year: 2010

- Title: "Optimizing ETL Processes in Data Warehousing Environments"
  Journal: Journal of Database Management
  Year: 2012

- Title: "Machine Learning Approaches for Anomaly Detection in Industrial IoT Data Streams"
  Conference: International Conference on Machine Learning
  Year: 2014

- Title: "Data Quality Assessment Framework for Large-scale Sensor Networks"
  Journal: Information Sciences
  Year: 2016

- Title: "Privacy-preserving Data Sharing Protocols for Healthcare Applications"
  Conference: IEEE International Conference on Data Engineering
  Year: 2018
