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Hi, I’m Gabriel Jamami, a data engineer with 6+ years of experience building scalable ETL pipelines, analytics layers, and dashboards in regulated environments. I excel in Python, PySpark, SQL, and Databricks, applying Silver → Gold modeling to empower data-driven decisions at scale. I design dimensional data models, maintain robust data pipelines, and collaborate with banking and education teams to deliver analytics-ready datasets and regulatory reporting. I’m passionate about turning complex data into actionable insights and sharing data engineering best practices with my teammates.…Hi, I’m Gabriel Jamami, a data engineer with 6+ years of experience building scalable ETL pipelines, analytics layers, and dashboards in regulated environments. I excel in Python, PySpark, SQL, and Databricks, applying Silver → Gold modeling to empower data-driven decisions at scale. I design dimensional data models, maintain robust data pipelines, and collaborate with banking and education teams to deliver analytics-ready datasets and regulatory reporting. I’m passionate about turning complex data into actionable insights and sharing data engineering best practices with my teammates.

Gabriel Jamami

Data Scientist, Data Analyst, Data Visualizer

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Hi, I’m Gabriel Jamami, a data engineer with 6+ years of experience building scalable ETL pipelines, analytics layers, and dashboards in regulated environments. I excel in Python, PySpark, SQL, and Databricks, applying Silver → Gold modeling to empower data-driven decisions at scale. I design dimensional data models, maintain robust data pipelines, and collaborate with banking and education teams to deliver analytics-ready datasets and regulatory reporting. I’m passionate about turning complex data into actionable insights and sharing data engineering best practices with my teammates.…Hi, I’m Gabriel Jamami, a data engineer with 6+ years of experience building scalable ETL pipelines, analytics layers, and dashboards in regulated environments. I excel in Python, PySpark, SQL, and Databricks, applying Silver → Gold modeling to empower data-driven decisions at scale. I design dimensional data models, maintain robust data pipelines, and collaborate with banking and education teams to deliver analytics-ready datasets and regulatory reporting. I’m passionate about turning complex data into actionable insights and sharing data engineering best practices with my teammates.

Available to hire

Hi, I’m Gabriel Jamami, a data engineer with 6+ years of experience building scalable ETL pipelines, analytics layers, and dashboards in regulated environments. I excel in Python, PySpark, SQL, and Databricks, applying Silver → Gold modeling to empower data-driven decisions at scale.

I design dimensional data models, maintain robust data pipelines, and collaborate with banking and education teams to deliver analytics-ready datasets and regulatory reporting. I’m passionate about turning complex data into actionable insights and sharing data engineering best practices with my teammates.

Skills

Python

SQL

Power BI

Experience Level

Python

Expert

SQL

Expert

Power BI

Expert

Language

Portuguese

Fluent

English

Advanced

Work Experience

Data Engineer at CI&T

March 1, 2025 - Present

Optimized data ingestion by replacing daily snapshot tables (~40M rows/year) with an event-based fact table, reducing storage to ~436K rows and significantly improving scalability. Refactored 26 repetitive Databricks notebooks into a single parameterized pipeline, improving maintainability, reusability, and standardization. Developed and maintained data pipelines for a banking application on Databricks, implementing Silver → Gold transformations using PySpark and SQL to support analytics. Designed and implemented dimensional data models, including fact and dimension tables. Managed, versioned, and reviewed code using GitHub.

Data Engineer at Ele Flow

September 1, 2022 - February 28, 2025

Developed Databricks pipelines to integrate customer, company, legal, and transaction data, delivering curated datasets to S3 for customer risk (CR) and anti-money laundering (AML) rule engines supporting regulatory reporting to BACEN. Implemented Silver → Gold data transformations using PySpark and SQL to produce analytics-ready datasets. Designed and maintained Power BI dashboards consumed by business and compliance teams.

Business Intelligence Analyst at Unicesumar

January 1, 2020 - August 31, 2022

Designed and maintained a SQL Server–based Data Warehouse, implementing Slowly Changing Dimensions (SCD) to preserve historical data. Built and maintained BI dashboards in QlikView, Qlik Sense, and Power BI, supporting decision-making across 1,000+ educational branches. Acted as a technical reference for the BI team, guiding data modeling and analytics best practices, and managing code versioning and peer reviews using Git.