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Gabriel NicoliniGN
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Gabriel Nicolini

@gabrielnicolini

Data Engineer at CI&T who cut lakehouse processing from 3–4 hours to about 1 hour.

Brazil
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What I'm looking for

I'm open to remote roles internationally.

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

DE

Data Engineer

Oct 2023 - May 2024 (7 months)

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.

IU

Data Engineer

Oct 2021 - May 2023 (1 year 7 months)

Developed and maintained data pipelines with SSIS, SQL, and Python, scheduled and monitored production workloads via Control-M, and contributed to AWS Cloud migration.

IU

Data Engineering Intern

Oct 2019 - Oct 2021 (2 years)

Developed ETL processes using Alteryx and supported the migration of the data environment to Hadoop.

Education

Degrees, certifications, and relevant coursework

FM

FMU

Bachelor of Science, Computer Science

2019 - 2022

Bachelor of Science in Computer Science from FMU, São Paulo, Brazil, completed in 2022.

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