- 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.
Nicolas Perez can be reached at nperez@stregisnyc.com for any inquiries. His address is 2 East 55th Street, New York City, USA. You can contact him directly at +1-212-753-4500.
Data Engineer, 2015 - 2017 at Amazon
- Developed scalable data pipelines using Apache Spark and Hadoop to process terabytes of data daily.
- Collaborated with cross-functional teams to optimize data storage solutions and improve data quality.
- Implemented real-time monitoring systems to ensure the reliability and efficiency of data processing workflows.
Experienced Data Engineer with a strong background in designing and implementing scalable data pipelines, optimizing database performance, and ensuring data quality. Proficient in utilizing cloud-based technologies such as AWS and GCP to build robust data infrastructure that supports complex analytics and machine learning workflows.
- Title: "Optimizing Data Pipelines for Real-Time Analytics"
  Authors: John Doe, Jane Smith
  Publication Year: 2013
  Journal: Big Data Research

- Title: "Scalable Machine Learning Models for Predictive Maintenance in Manufacturing"
  Authors: John Doe, Alice Johnson
  Publication Year: 2015
  Conference: International Conference on Machine Learning

- Title: "Efficient Data Processing Techniques for Large-Scale Sensor Networks"
  Authors: John Doe, Bob Williams
  Publication Year: 2017
  Journal: IEEE Transactions on Big Data

- Title: "Automated Anomaly Detection in Streaming Data Using Deep Learning"
  Authors: John Doe, Emily Brown
  Publication Year: 2019
  Conference: Neural Information Processing Systems (NeurIPS)

- Title: "Secure and Privacy-Preserving Data Sharing Framework for Healthcare Applications"
  Authors: John Doe, Sarah Lee
  Publication Year: 2021
  Journal: Journal of Medical Informatics
- Bachelor of Engineering (Honours) in Computer Systems Engineering, University of Melbourne, 2013
- Graduate Diploma in Data Science, Australian National University, 2013
- Certificate in Big Data Analytics, Queensland University of Technology, 2013
- Bachelor of Engineering (Honours) in Computer Systems Engineering, University of Melbourne, 2013
- Graduate Diploma in Data Science, Australian National University, 2013
- Certificate in Big Data Analytics, Queensland University of Technology, 2013

Nicolas Perez can be reached at nperez@stregisnyc.com for any inquiries. His address is 2 East 55th Street, New York City, USA. You can contact him directly at +1-212-753-4500.

- Title: "Optimizing Data Pipelines for Real-Time Analytics"
  Authors: John Doe, Jane Smith
  Publication Year: 2013
  Journal: Big Data Research

- Title: "Scalable Machine Learning Models for Predictive Maintenance in Manufacturing"
  Authors: John Doe, Alice Johnson
  Publication Year: 2015
  Conference: International Conference on Machine Learning

- Title: "Efficient Data Processing Techniques for Large-Scale Sensor Networks"
  Authors: John Doe, Bob Williams
  Publication Year: 2017
  Journal: IEEE Transactions on Big Data

- Title: "Automated Anomaly Detection in Streaming Data Using Deep Learning"
  Authors: John Doe, Emily Brown
  Publication Year: 2019
  Conference: Neural Information Processing Systems (NeurIPS)

- Title: "Secure and Privacy-Preserving Data Sharing Framework for Healthcare Applications"
  Authors: John Doe, Sarah Lee
  Publication Year: 2021
  Journal: Journal of Medical Informatics

Experienced Data Engineer with a strong background in designing and implementing scalable data pipelines, optimizing database performance, and ensuring data quality. Proficient in utilizing cloud-based technologies such as AWS and GCP to build robust data infrastructure that supports complex analytics and machine learning workflows.

- 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.

Data Engineer, 2015 - 2017 at Amazon
- Developed scalable data pipelines using Apache Spark and Hadoop to process terabytes of data daily.
- Collaborated with cross-functional teams to optimize data storage solutions and improve data quality.
- Implemented real-time monitoring systems to ensure the reliability and efficiency of data processing workflows.