- I am a Data Engineer who enjoys playing football in my free time.
- I have a passion for cooking and experimenting with new recipes.
- Photography is another hobby of mine, capturing moments and scenes that inspire me.
- I love hiking and exploring the great outdoors, connecting with nature.
- Reading fiction novels is a favorite pastime of mine, transporting me to different worlds.
- Mail: david.reis@aman.com
- Address: The Aman Canal Grande, Venice, Italy
- Phone: +39 041 2707333
- Name: David Reis
- LinkedIn: linkedin.com/in/davidreisvenice
Data Engineer, 2020 - Present at Amazon
- 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, improving overall system performance.
- Develop monitoring tools to ensure data quality and integrity across various databases.

Data Engineering Intern, Summer 2019 at Google
- Assisted in building machine learning models to predict user behavior patterns based on historical data.
- Conducted data cleaning and preprocessing tasks to prepare datasets for analysis using Python and SQL.
- Contributed to the development of a data visualization dashboard to track key performance metrics for internal stakeholders.
- Proficient in designing and implementing scalable data pipelines using tools such as Apache Spark and Kafka to process large volumes of data efficiently.
- Skilled in optimizing database performance and ensuring data quality by leveraging SQL queries, indexing strategies, and ETL processes.
- 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
- Master of Science in Data Engineering, Aalto University, 2020
- Bachelor of Science in Computer Science, Helsinki University, 2017
- Specialization in Big Data Technologies and Analytics
- Thesis: "Optimizing Real-time Data Processing Pipelines using Apache Spark"
- Relevant coursework: Machine Learning, Data Warehousing, Cloud Computing
- Internship at a leading Finnish tech company specializing in data analytics, 2019
- 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
Data Engineer, 2020 - Present at Amazon
- 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, improving overall system performance.
- Develop monitoring tools to ensure data quality and integrity across various databases.

Data Engineering Intern, Summer 2019 at Google
- Assisted in building machine learning models to predict user behavior patterns based on historical data.
- Conducted data cleaning and preprocessing tasks to prepare datasets for analysis using Python and SQL.
- Contributed to the development of a data visualization dashboard to track key performance metrics for internal stakeholders.
- Proficient in designing and implementing scalable data pipelines using tools such as Apache Spark and Kafka to process large volumes of data efficiently.
- Skilled in optimizing database performance and ensuring data quality by leveraging SQL queries, indexing strategies, and ETL processes.
- I am a Data Engineer who enjoys playing football in my free time.
- I have a passion for cooking and experimenting with new recipes.
- Photography is another hobby of mine, capturing moments and scenes that inspire me.
- I love hiking and exploring the great outdoors, connecting with nature.
- Reading fiction novels is a favorite pastime of mine, transporting me to different worlds.
- Master of Science in Data Engineering, Aalto University, 2020
- Bachelor of Science in Computer Science, Helsinki University, 2017
- Specialization in Big Data Technologies and Analytics
- Thesis: "Optimizing Real-time Data Processing Pipelines using Apache Spark"
- Relevant coursework: Machine Learning, Data Warehousing, Cloud Computing
- Internship at a leading Finnish tech company specializing in data analytics, 2019
- Mail: david.reis@aman.com
- Address: The Aman Canal Grande, Venice, Italy
- Phone: +39 041 2707333
- Name: David Reis
- LinkedIn: linkedin.com/in/davidreisvenice