Gabriel Nicolini
@gabrielnicolini
Data Engineer at CI&T who cut lakehouse processing from 3–4 hours to about 1 hour.
What I'm looking for
At CI&T, I deliver data platform engineering for insurance and manufacturing clients. For an insurance and pension data platform, I reduced end-to-end processing from 3–4 hours to about 1 hour by optimizing Databricks workloads, and implemented reconciliation controls as a quality gate.
At Santander Brasil, I built and maintained ETL/ELT pipelines for a sales commission payment system and contributed to automating its processing. Earlier, I supported cloud migration work at Deloitte and Itaú Unibanco, and developed ETL processes as a Data Engineering Intern at Itaú Unibanco.
Experience
Work history, roles, and key accomplishments
Delivering data platform engineering and enterprise migration programs for global clients, including insurance and manufacturing sectors.
Data Engineer
Santander Brasil
May 2024 - Dec 2025 (1 year 7 months)
Contributed to the modernization of the sales commission payment system, building and maintaining ETL/ELT pipelines using Databricks, PySpark, and Azure, with scheduling via Control-M.
Supported the migration of 30+ tables from on-premises systems to Azure Cloud for a major retail bank, developing data pipelines with PySpark and Databricks.
Developed ETL processes using Alteryx and supported the migration of the data environment to Hadoop.
Education
Degrees, certifications, and relevant coursework
FMU
Bachelor of Science, Computer Science
2019 - 2022
Bachelor of Science in Computer Science from FMU, São Paulo, Brazil, completed in 2022.
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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