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Yuri CATRAMBY

@yuricatramby

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Analytics Engineer focused on scalable data pipelines, performance, and business impact.

Brazil

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What I'm looking for

I'm an Analytics Engineer with experience designing scalable data pipelines, improving data reliability, and enabling data-driven decision-making. I’ve worked closely with product, engineering, and marketing teams to transform raw data into trusted, accessible insights.

One of my most impactful projects involved migrating a batch data pipeline to an incremental ingestion process, reducing processing costs by over 50% while improving performance and reliability. I also resolved recurring processing issues in complex datasets, ensuring consistent updates to downstream dashboards and analytics.

My work often bridges business needs and technical execution. I enjoy creating clear data models, simplifying logic, and documenting systems so others can confidently build on top of them. I’m particularly interested in solving ambiguous data problems, improving data quality at scale, and empowering stakeholders with tools they can trust.

I'm passionate about using data to create leverage across teams — whether by building intuitive data layers, automating processes, or helping teams track and understand their KPIs.

Experience

Work history, roles, and key accomplishments

Current

Analytics Engineer

Current

Nubank

Mar 2024 - Present (1 year 3 months)

Reduced data costs by over 50% by switching to incremental ingestion.
Eliminated processing errors by optimizing costly operations, ensuring consistent updates.
Cut audience creation time by 60% via a pipeline that applies business logic, integrates with a microservice, and automates the process.
Improved dataset performance by analyzing Spark UI and tuning partitions to resolve spill and skew.

Databricks Scala SQL Python Pyspark QuickSight Tableau Pipelines Spark Jira Confluence Marketing Analytics Marketing Campaigns Audience Building

Analytics Engineer

iFood

May 2022 - Feb 2024 (1 year 9 months)

Developed and monitored pipelines to generate datasets that support business teams' analyses.
Built alerts that reduced monthly fraud losses by $100k, boosting financial efficiency.
Created an ML model that improved fraud prediction accuracy by 30%, saving $6k/month.
Trained teams in advanced SQL, enhancing overall analytical proficiency.

Python SQL Pyspark Tableau Google Docs Google Meet Google Suite Databricks Google Sheets

Data Analyst

Xp Inc

Jul 2021 - May 2022 (10 months)

Data analysis with Python, Spark and SQL on Databricks. Performance and opportunity analysis. Business intelligence, maintenance and creation of dashboards in Power BI for monitoring KPI’s. Improvement process automation.
Technologies used: Pyspark, Python, Databricks, SQL, Power BI, Excel.

Pyspark Python Databricks SQL Power BI

Data Analyst

Grupo ITG - Nordica

Apr 2021 - Jul 2021 (3 months)

Business Intelligence, ETL e representation on Dashboards in Qlik Sense for decision making. Troubleshooting and maintenance of projects in production.
Technologies used: Qlik Sense.

Qlik SQL

Data Analyst

Amara

Jun 2020 - Mar 2021 (9 months)

Business Intelligence, ETL – ERP data extraction, transformation and presentation in dashboards with Power BI for decision making. Inventory and sales management. Processes improvement. Quotation and purchase of national and imported materials. Supplier management.
Technologies used: Power BI e Excel

Excel Power BI

Business Analyst

Amara

Sep 2019 - Jun 2020 (9 months)

Creation and monitoring of performance indicators and sales management through dashboards. Participation in meeting and commercial negotiations with clients, participation in strategic planning meetings. Development of excel spreadsheets for sales analysis.
Technologies used: Power BI e Excel.

Sales Excel Power BI Dashboards KPIs KPI Tracking