- 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.
- Mail: chloe.dias@venetian.com
- Address: 3355 S Las Vegas Blvd, Las Vegas, NV 89109, USA
- Phone: +1 (702) 414-1000
- Name: Chloe Dias
- LinkedIn: linkedin.com/in/chloedias
Data Engineer, 2020 - Present at TechCorp
- Design and implement scalable data pipelines to process large volumes of real-time data for analytics purposes.
- Collaborate with cross-functional teams to optimize data storage and retrieval processes, ensuring efficient data access and analysis.
- 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: "Optimizing Data Pipelines for Real-Time Analytics"
  Authors: John Smith, Jane Doe
  Publication Year: 2020
  Journal: Big Data Research

- Title: "Scalable Data Processing Techniques for Large-Scale IoT Applications"
  Authors: John Smith, Emily Johnson
  Publication Year: 2021
  Conference: IEEE International Conference on Big Data

- Title: "Automated Data Quality Assessment in ETL Processes"
  Authors: John Smith, Michael Brown
  Publication Year: 2022
  Journal: Data Engineering and Management

- Title: "Efficient Resource Allocation Strategies for Cloud-Based Data Warehouses"
  Authors: John Smith, Sarah Wilson
  Publication Year: 2023
  Conference: ACM SIGMOD International Conference on Management of Data
A bachelor's degree in Computer Science from Stockholm University in 2017 and a master's degree in Data Engineering from KTH Royal Institute of Technology in 2020 were successfully completed.
- 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.

- Mail: chloe.dias@venetian.com
- Address: 3355 S Las Vegas Blvd, Las Vegas, NV 89109, USA
- Phone: +1 (702) 414-1000
- Name: Chloe Dias
- LinkedIn: linkedin.com/in/chloedias

- Title: "Optimizing Data Pipelines for Real-Time Analytics"
  Authors: John Smith, Jane Doe
  Publication Year: 2020
  Journal: Big Data Research

- Title: "Scalable Data Processing Techniques for Large-Scale IoT Applications"
  Authors: John Smith, Emily Johnson
  Publication Year: 2021
  Conference: IEEE International Conference on Big Data

- Title: "Automated Data Quality Assessment in ETL Processes"
  Authors: John Smith, Michael Brown
  Publication Year: 2022
  Journal: Data Engineering and Management

- Title: "Efficient Resource Allocation Strategies for Cloud-Based Data Warehouses"
  Authors: John Smith, Sarah Wilson
  Publication Year: 2023
  Conference: ACM SIGMOD International Conference on Management of Data

A bachelor's degree in Computer Science from Stockholm University in 2017 and a master's degree in Data Engineering from KTH Royal Institute of Technology in 2020 were successfully completed.

Data Engineer, 2020 - Present at TechCorp
- Design and implement scalable data pipelines to process large volumes of real-time data for analytics purposes.
- Collaborate with cross-functional teams to optimize data storage and retrieval processes, ensuring efficient data access and analysis.

- 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.