- I enjoy skiing in the winter and hitting the slopes whenever I get the chance.
- Photography is a passion of mine, capturing moments and scenes that inspire me.
- Cooking is a relaxing hobby for me, experimenting with new recipes and flavors in the kitchen.
- Traveling to new destinations and immersing myself in different cultures is something I love to do in my free time.
- Playing the guitar helps me unwind and express myself creatively outside of work.
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 to extract, transform, and load large volumes of structured and unstructured data. Proficient in utilizing cloud-based technologies such as AWS or Azure to optimize data storage and processing capabilities. Skilled in developing robust ETL processes and ensuring data quality and integrity throughout the entire data lifecycle.
- 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

- I enjoy skiing in the winter and hitting the slopes whenever I get the chance.
- Photography is a passion of mine, capturing moments and scenes that inspire me.
- Cooking is a relaxing hobby for me, experimenting with new recipes and flavors in the kitchen.
- Traveling to new destinations and immersing myself in different cultures is something I love to do in my free time.
- Playing the guitar helps me unwind and express myself creatively outside of work.
- 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
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 to extract, transform, and load large volumes of structured and unstructured data. Proficient in utilizing cloud-based technologies such as AWS or Azure to optimize data storage and processing capabilities. Skilled in developing robust ETL processes and ensuring data quality and integrity throughout the entire data lifecycle.