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Marcos H. — Junior Backend Data Engineer from Argentina

Marcos H.

Junior Backend Data Engineer

Argentina 3-6 years
Open to offersNew to Platform
Languages
EnglishSpanish
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About

Marcos E. is a seasoned Software Engineer from Argentina with significant expertise in constructing and managing data-intensive systems. His professional foundation lies in backend engineering and data-driven problem-solving. At Dash Solutions, where he has been working remotely since May 2022, Marcos expertly handled large-scale relational datasets, executing complex SQL queries to ensure both performance and accuracy. His adeptness with Python and AWS, specifically S3, EC2, and CloudWatch, is evident in his capacity to address data discrepancies and enhance data workflows. Previously, as a Test Automation Engineer at Globant, Marcos developed automated end-to-end tests, while also contributing to a notable nutrition SaaS project by designing a backend with FastAPI and PostgreSQL. His work in this project involved API creation, user data handling, and ensuring reliability through comprehensive testing. Fluent in both English and Spanish, Marcos continues to offer robust solutions across distributed systems.

Experience

  • Software Engineer

    Dash Solutions · 2022 — Present
    Worked with large relational datasets, optimizing complex SQL queries for overall performance and correctness. Addressed data-related issues across backend services and databases, maintaining data consistency and integrity. Created Python scripts to facilitate backend processes and operational data tasks. Investigated data discrepancies by analyzing data flows across distributed systems and CloudWatch logs. Employed AWS services such as S3, EC2, and CloudWatch for data storage, processing, and monitoring of systems. Contributed to data workflows by processing, validating, and analyzing data in backend systems.

  • Test Automation Engineer

    Globant · 2021 — 2022
    Developed automated tests to validate end-to-end system functionality, focusing on data-related scenarios. In the Mi Método project, designed and implemented a backend system utilizing Python (FastAPI) and PostgreSQL, modeling relational data structures to support application flows and user data management. Built APIs and internal processes for handling and transforming user data. Integrated AWS S3 for file storage with presigned URLs and managed data persistence, migrations, and schema evolution. Ensured system reliability and data integrity through unit and integration testing.

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