Ray De Souza
@raydesouza
Senior data engineer building scalable pipelines and analytics-ready datasets for self-service decision-making.
BrazilWhat I'm looking for
I’m a Senior Data Engineer with over 9 years of experience building scalable data pipelines, analytics-ready datasets, and modern data platforms across product, customer, financial, and operational data. I focus on clean modeling, reliable transformations, and self-service access for business teams, turning loosely defined reporting workflows into maintainable production pipelines.
I bring hands-on expertise in dbt, Python, SQL, and orchestration with Airflow, and I’m comfortable formalizing early-stage data workflows into data products that improve data quality and simplify complex problems. I’ve streamlined performance by refactoring transformations and incremental logic—cutting recurring runtimes by 34% and improving refresh times by 41%—while also strengthening trust through data tests, freshness checks, and clearer documentation for downstream users.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Fullstack San Antonio
Feb 2023 - Present (3 years 3 months)
Formalized and scaled dbt- and Airflow-based ELT pipelines for product, customer, revenue, and operational analytics, enabling reliable self-service datasets for business teams. Reduced several recurring model runtimes by 34% via incremental logic and Snowflake/BigQuery performance tuning, while improving revenue decision coverage by 16%.
Data Engineer
Mismo San Francisco
Jun 2020 - Jan 2023 (2 years 7 months)
Built and modernized data pipelines for gaming, sports betting, and customer engagement using Python, SQL, dbt, Airflow, AWS, Redshift, Snowflake, and Kafka. Improved refresh time for high-usage reporting datasets by 41% through query plan review and optimization, and enabled near real-time analytics with Kafka-based ingestion.
Data Analyst
IbtI IT Solutions
Feb 2017 - May 2020 (3 years 3 months)
Delivered analytics and reporting support for telecommunications and operational datasets by creating SQL reporting datasets and data preparation workflows in Python. Reduced manual spreadsheet work for operational reports by 29% using Python/Pandas and automated data cleaning with SSIS and Pentaho Kettle.
Python Developer Intern
IbtI IT Solutions
Jan 2016 - Jan 2017 (1 year)
Developed Python scripts to clean and standardize customer, marketing, and operational datasets using Pandas and NumPy, producing structured outputs for analysis. Supported ML/data work by preparing scikit-learn training datasets and reviewing model evaluation metrics like precision/recall and confusion matrices.
Education
Degrees, certifications, and relevant coursework
Federal University of São Carlos
Bachelor’s Degree, Software Engineering
2013 - 2017
Bachelor’s degree in Software Engineering at the Federal University of São Carlos from 2013 to 2017.
Tech stack
Software and tools used professionally
Availability
Location
BrazilAuthorized to work in
Job categories
Skills
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