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Luiz R.
Data Engineering
Luiz is a highly skilled Data Engineer with five years of commercial experience. He specializes in data engineering and machine learning, with a strong focus on code optimization and reproducibility.
Luiz has worked in various industries, including retail, eCommerce, financial operations, sales, and real estate in Brazil.
His expertise includes text processing, sentiment analysis, and infrastructure design. Luiz has optimized ETLs, improved queries, and PySpark code, and implemented table partitioning. He has a proven track record of implementing innovative solutions, such as a StableDiffusion-based application for image enhancement and an XGBoost model for predicting buyer visit-scheduling probability.
Main expertise
- Apache Spark 4 years
- Data Engineering 4 years
- Databricks 1 years
Other skills
- Scala 1 years
Selected experience
Employment
Data Engineer | Data Scientist
Loft - 1 year 1 month
- Refined the team’s entire code structure, improving performance and code/ML reproducibility.
- Improved several ETLs by optimizing queries, PySpark code, and table partitioning.
- Worked with other engineering teams to map and define multiple improvement points for the entire Data Chapter.
- Researched and implemented a StableDiffusion-based application to "decorate" apartment photos.
- Created an XGBoost-based model to predict buyers’ visit-scheduling probability over time.
- Created and maintained multiple interactive data-viz prototypes using Streamlit and ML models for the Business Intelligence area.
- Defined and deployed multiple model APIs to production through a SageMaker layer alongside the MLOps team.
Technologies:
- Technologies:
Apache Spark
Databricks
ETL
Python
SQL
AWS
Git
Agile
FastAPI
Pandas
Data Engineer | Data Scientist
Dextra Consulting - 1 year 2 months
- Created text-processing PySpark jobs for multiple client pipelines on a lakehouse architecture.
- Designed and implemented a highly available infrastructure for a speech-to-text and text-processing engagement using GCP (Dataproc, R-MIG, Compute Engine, Firebase, Cloud Function, Build, and Run).
- Supported and developed machine learning models for sentiment analysis.
- Contributed to the creation of several PySpark jobs for multiple text-processing pipelines for different clients on a lakehouse architecture.
Technologies:
- Technologies:
-
Apache Spark
- Data Engineering
-
Python
Google Cloud
-
AWS
-
Git
-
Pandas
Data Engineer
Samsung Electronics - 8 months
- Automated data extraction procedures using a distributed architecture with Apache Airflow and Docker.
- Created Spark jobs for data indexing and logging of metadata, including relational database architecture and modeling for event logging.
- Automated procedures and ETLs using Bash, Python, and Docker.
- Developed database-interface APIs using Node.js.
Technologies:
- Technologies:
-
Apache Spark
-
Python
-
Agile
-
Pandas
Education
MSc.Electrical Engineering
Federal University Of Rio de Janeiro · 2017 - 2019
BSc.Electronics and Computer Engineering
Federal University Of Rio de Janeiro · 2013 - 2019
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