- I enjoy skiing in the winter and hitting the slopes whenever I get the chance.
- Gardening is a relaxing hobby of mine, and I love spending time tending to my plants and watching them grow.
- Cooking is another passion of mine, and I often experiment with new recipes and cuisines in my free time.
- Photography is a creative outlet for me, and I love capturing beautiful moments and scenes through my camera lens.
- Playing the guitar is a hobby that brings me joy, and I often strum away on my acoustic guitar to unwind after a long day.
- Mail: luna.melo@slshotels.com
- Address: The SLS Beverly Hills, Los Angeles, USA
- Phone: +1 (310) 123-4567
- Name: Luna Melo
- LinkedIn: linkedin.com/in/lunamelo
Data Engineer, 2018 - Present at Google
- Developed data pipelines to ingest and process terabytes of streaming data daily.
- Collaborated with cross-functional teams to optimize data storage and retrieval processes.
- Implemented machine learning models for predictive analytics on large-scale datasets.

Data Analyst Intern, 2017 - 2018 at Microsoft
- Assisted in cleaning and organizing raw data from various sources for analysis.
- Conducted exploratory data analysis to identify trends and patterns within the dataset.
- Created visualizations and dashboards to present findings to stakeholders.
- 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.
- Bachelor of Science in Computer Science, Lund University, 2014
- Master of Science in Data Engineering, Stockholm University, 2016
- Thesis: "Optimizing Big Data Processing Techniques for Real-time Analytics"
- Specialization in Machine Learning and Data Visualization
- Internship at a leading tech company focusing on data engineering solutions
- Fluent in Swedish and English
- Mail: luna.melo@slshotels.com
- Address: The SLS Beverly Hills, Los Angeles, USA
- Phone: +1 (310) 123-4567
- Name: Luna Melo
- LinkedIn: linkedin.com/in/lunamelo
- Bachelor of Science in Computer Science, Lund University, 2014
- Master of Science in Data Engineering, Stockholm University, 2016
- Thesis: "Optimizing Big Data Processing Techniques for Real-time Analytics"
- Specialization in Machine Learning and Data Visualization
- Internship at a leading tech company focusing on data engineering solutions
- Fluent in Swedish and English

- I enjoy skiing in the winter and hitting the slopes whenever I get the chance.
- Gardening is a relaxing hobby of mine, and I love spending time tending to my plants and watching them grow.
- Cooking is another passion of mine, and I often experiment with new recipes and cuisines in my free time.
- Photography is a creative outlet for me, and I love capturing beautiful moments and scenes through my camera lens.
- Playing the guitar is a hobby that brings me joy, and I often strum away on my acoustic guitar to unwind after a long day.
- 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.
Data Engineer, 2018 - Present at Google
- Developed data pipelines to ingest and process terabytes of streaming data daily.
- Collaborated with cross-functional teams to optimize data storage and retrieval processes.
- Implemented machine learning models for predictive analytics on large-scale datasets.

Data Analyst Intern, 2017 - 2018 at Microsoft
- Assisted in cleaning and organizing raw data from various sources for analysis.
- Conducted exploratory data analysis to identify trends and patterns within the dataset.
- Created visualizations and dashboards to present findings to stakeholders.