- I enjoy skiing in the winter and hitting the slopes for some adrenaline-filled fun.
- Photography is another passion of mine, capturing beautiful moments and scenes through my lens.
- Cooking is a therapeutic activity for me, experimenting with new recipes and flavors in the kitchen.
- I love hiking in nature, exploring different trails and immersing myself in the great outdoors.
- Playing the guitar is a creative outlet for me, strumming away to my favorite tunes in my free time.
- Mail: riley.torres@shangri-la.com
- Address: The Shangri-La, 10 Avenue d'Iéna, Paris, France
- Phone: +33 1 53 67 19 98
- Name: Riley Torres
- LinkedIn: linkedin.com/in/rileytorres
1. As a Data Engineer at TechData Solutions, I was responsible for designing and implementing data pipelines to support real-time analytics applications from 2012 to 2015.
2. At DataWorks Inc., I led a team of engineers in building scalable data infrastructure using cloud technologies such as AWS and Google Cloud Platform between 2016 and 2018.
3. From 2019 to 2020, I worked as a Senior Data Engineer at Analytix Innovations, where I collaborated with data scientists to develop machine learning models for predictive analytics.
4. Currently, as the Lead Data Engineer at Insightful Data Co., I oversee the development of data architecture and ETL processes to ensure efficient data flow and analysis since 2021.
- Title: "Efficient Data Processing Techniques for Real-Time Analytics"
  Journal: IEEE Transactions on Big Data
  Year: 2011

- Title: "Scalable Distributed Systems for Large-Scale Data Processing"
  Conference: ACM Symposium on Cloud Computing
  Year: 2012

- Title: "Optimizing Data Pipelines for Machine Learning Applications"
  Journal: Journal of Machine Learning Research
  Year: 2013

- Title: "Secure and Efficient Data Sharing in Collaborative Environments"
  Conference: International Conference on Data Engineering
  Year: 2014

- Title: "Real-Time Anomaly Detection in Streaming Data"
  Journal: ACM Transactions on Knowledge Discovery from Data
  Year: 2015

- Title: "Automated Data Quality Assessment in Big Data Environments"
  Conference: IEEE International Conference on Data Mining
  Year: 2016

- Title: "Privacy-Preserving Data Analysis Techniques for Sensitive Information"
  Journal: Privacy Enhancing Technologies Symposium
  Year: 2017

- Title: "Adaptive Resource Allocation Strategies for Elastic Data Processing Frameworks"
  Conference: USENIX Symposium on Operating Systems Design and Implementation
  Year: 2018


- Master's Degree in Data Engineering, Universidad Politécnica de Madrid, 2011
- Bachelor's Degree in Computer Science, Universidad Complutense de Madrid, 2009

- Mail: riley.torres@shangri-la.com
- Address: The Shangri-La, 10 Avenue d'Iéna, Paris, France
- Phone: +33 1 53 67 19 98
- Name: Riley Torres
- LinkedIn: linkedin.com/in/rileytorres
1. As a Data Engineer at TechData Solutions, I was responsible for designing and implementing data pipelines to support real-time analytics applications from 2012 to 2015.
2. At DataWorks Inc., I led a team of engineers in building scalable data infrastructure using cloud technologies such as AWS and Google Cloud Platform between 2016 and 2018.
3. From 2019 to 2020, I worked as a Senior Data Engineer at Analytix Innovations, where I collaborated with data scientists to develop machine learning models for predictive analytics.
4. Currently, as the Lead Data Engineer at Insightful Data Co., I oversee the development of data architecture and ETL processes to ensure efficient data flow and analysis since 2021.
- Title: "Efficient Data Processing Techniques for Real-Time Analytics"
  Journal: IEEE Transactions on Big Data
  Year: 2011

- Title: "Scalable Distributed Systems for Large-Scale Data Processing"
  Conference: ACM Symposium on Cloud Computing
  Year: 2012

- Title: "Optimizing Data Pipelines for Machine Learning Applications"
  Journal: Journal of Machine Learning Research
  Year: 2013

- Title: "Secure and Efficient Data Sharing in Collaborative Environments"
  Conference: International Conference on Data Engineering
  Year: 2014

- Title: "Real-Time Anomaly Detection in Streaming Data"
  Journal: ACM Transactions on Knowledge Discovery from Data
  Year: 2015

- Title: "Automated Data Quality Assessment in Big Data Environments"
  Conference: IEEE International Conference on Data Mining
  Year: 2016

- Title: "Privacy-Preserving Data Analysis Techniques for Sensitive Information"
  Journal: Privacy Enhancing Technologies Symposium
  Year: 2017

- Title: "Adaptive Resource Allocation Strategies for Elastic Data Processing Frameworks"
  Conference: USENIX Symposium on Operating Systems Design and Implementation
  Year: 2018


- Master's Degree in Data Engineering, Universidad Politécnica de Madrid, 2011
- Bachelor's Degree in Computer Science, Universidad Complutense de Madrid, 2009
- I enjoy skiing in the winter and hitting the slopes for some adrenaline-filled fun.
- Photography is another passion of mine, capturing beautiful moments and scenes through my lens.
- Cooking is a therapeutic activity for me, experimenting with new recipes and flavors in the kitchen.
- I love hiking in nature, exploring different trails and immersing myself in the great outdoors.
- Playing the guitar is a creative outlet for me, strumming away to my favorite tunes in my free time.