- I enjoy mountain biking on weekends and exploring new trails in the great outdoors.
- Cooking is a passion of mine, and I love experimenting with different recipes and cuisines.
- Photography is another hobby that allows me to capture beautiful moments and scenes through my lens.
- I am an avid reader and always have a book or two on my nightstand that I delve into before bed.
- Traveling is a big part of my life, and I love immersing myself in different cultures and trying new foods.
- Mail: evelyn.lima@shangri-la.com
- Address: The Shangri-La, Sheikh Zayed Road, Dubai, UAE
- Phone: +971 4 343 8888
- Name: Evelyn Lima
- LinkedIn: linkedin.com/in/evelyn-lima-shangrila
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.
Experienced Data Engineer with a strong foundation in designing and implementing scalable data pipelines for complex analytics projects. Proficient in utilizing cutting-edge technologies such as Apache Spark, Hadoop, and Kafka to optimize data processing and storage. Skilled in collaborating with cross-functional teams to deliver innovative solutions that drive business growth and enhance decision-making capabilities.
- 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

- 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: evelyn.lima@shangri-la.com
- Address: The Shangri-La, Sheikh Zayed Road, Dubai, UAE
- Phone: +971 4 343 8888
- Name: Evelyn Lima
- LinkedIn: linkedin.com/in/evelyn-lima-shangrila

- I enjoy mountain biking on weekends and exploring new trails in the great outdoors.
- Cooking is a passion of mine, and I love experimenting with different recipes and cuisines.
- Photography is another hobby that allows me to capture beautiful moments and scenes through my lens.
- I am an avid reader and always have a book or two on my nightstand that I delve into before bed.
- Traveling is a big part of my life, and I love immersing myself in different cultures and trying new foods.

Experienced Data Engineer with a strong foundation in designing and implementing scalable data pipelines for complex analytics projects. Proficient in utilizing cutting-edge technologies such as Apache Spark, Hadoop, and Kafka to optimize data processing and storage. Skilled in collaborating with cross-functional teams to deliver innovative solutions that drive business growth and enhance decision-making capabilities.

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.