- I enjoy skiing in the winter and hitting the slopes whenever I get the chance.
- Gardening is a relaxing hobby of mine, and I love spending time tending to my plants and watching them grow.
- Cooking is another passion of mine, and I often experiment with new recipes and cuisines in my free time.
- Photography is a creative outlet for me, and I love capturing beautiful moments and scenes through my camera lens.
- Playing the guitar is a hobby that brings me joy, and I often strum away on my acoustic guitar to unwind after a long day.
- Mail: daniel.martinez@hoteladlon.com
- Address: Hotel Adlon Kempinski, Unter den Linden 77, 10117 Berlin, Germany
- Phone: +49 30 2261 1111
- Name: Daniel Martinez
- LinkedIn: linkedin.com/in/danielmartinez_hoteladlon
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.
- Proficient in designing and implementing scalable data pipelines using technologies such as Apache Spark, Kafka, and Hadoop to process large volumes of data efficiently.
- Skilled in optimizing database performance and ensuring data quality by developing robust ETL processes and data validation frameworks.
- Experienced in building and maintaining data infrastructure on cloud platforms like AWS or GCP, leveraging services like S3, Redshift, and BigQuery.
- Strong background in programming languages such as Python, SQL, and Scala for data manipulation and analysis tasks.
- 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.
- I enjoy skiing in the winter and hitting the slopes whenever I get the chance.
- Gardening is a relaxing hobby of mine, and I love spending time tending to my plants and watching them grow.
- Cooking is another passion of mine, and I often experiment with new recipes and cuisines in my free time.
- Photography is a creative outlet for me, and I love capturing beautiful moments and scenes through my camera lens.
- Playing the guitar is a hobby that brings me joy, and I often strum away on my acoustic guitar to unwind after a long day.
- 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
- Mail: daniel.martinez@hoteladlon.com
- Address: Hotel Adlon Kempinski, Unter den Linden 77, 10117 Berlin, Germany
- Phone: +49 30 2261 1111
- Name: Daniel Martinez
- LinkedIn: linkedin.com/in/danielmartinez_hoteladlon
- Bachelor of Science in Computer Science, Lund University, Sweden, 2005
- Master of Science in Data Engineering, Stockholm University, Sweden, 2008
- Proficient in designing and implementing scalable data pipelines using technologies such as Apache Spark, Kafka, and Hadoop to process large volumes of data efficiently.
- Skilled in optimizing database performance and ensuring data quality by developing robust ETL processes and data validation frameworks.
- Experienced in building and maintaining data infrastructure on cloud platforms like AWS or GCP, leveraging services like S3, Redshift, and BigQuery.
- Strong background in programming languages such as Python, SQL, and Scala for data manipulation and analysis tasks.