Jonathan Exequiel Minutillo
Data Engineer @Bamboo
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WORK HISTORY
Data Engineer @Bamboo
AR
As a Data Engineer at Bamboo Payment, I am responsible for designing, implementing, and optimizing ETL/ELT data pipelines that are essential for data processing within the payment platform. I collaborate closely with cross-functional teams to ensure efficient data integration, contributing to the company’s success by building a solid data infrastructure that supports data analysis and decision-making.Key Responsibilities:* Design and maintain robust data pipelines, optimizing ETL/ELT processes to ensure efficient workflows.* Develop and maintain data models for complex transformations that drive business decisions.* Implement and manage data flows in the cloud using AWS services (S3, AWS Glue, Redshift, Lambda, Step Functions, Event Bridge, Apache Spark).* Orchestrate and monitor data workflows using Apache Airflow, ensuring timely and reliable execution of data processes across environments.* Contribute to shared Data Engineering best practices and tools to maintain quality standards across the company.* Optimize data infrastructure to improve query and analysis speed and quality.Programming Languages: Python, Spark, SQL.Cloud: AWS Cloud Platform (S3, AWS Glue, Redshift, DocumentDB, Lambda, Step Functions, Event Bridge, Apache Spark).DDBB: MongoDB, Redshift, SQL Server.Orchestration: Apache Airflow.Version Control System: Git.
EDUCATION
Universidad Católica de Salta
Systems analyst, Computer Engineering
Universidad Austral, Buenos Aires
Applied Data Science Degree, Data Science
Universidad Católica de Salta
System Engineering
Universidad Tecnológica Nacional
Business Intelligence & Data Mining Degree, Business Intelligence
ABOUT JONATHAN EXEQUIEL MINUTILLO
Senior Data Engineer with 10+ years of experience in data, analytics, and BI, and 6+ years designing and building scalable data platforms in cloud environments (GCP & AWS). Strong background in data pipelines, analytics-ready data models, orchestration workflows, and infrastructure as code, enabling data-driven decision-making across multiple business domains. Experienced working in remote and distributed teams within large enterprises and high-availability environments.
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