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Luciano E. — Mid-Level Data Platform Engineer from Argentina

Luciano E.

Mid-Level Data Platform Engineer

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

Luciano P., based in Bahía Blanca, Buenos Aires, Argentina, is a seasoned Data Platform Engineer well-versed in both site reliability engineering and data engineering. With a strong foundation in Software Engineering, he excels in creating and automatizing scalable data pipelines and cloud infrastructures using Terraform and Docker. Luciano is currently contributing to Spot2.mx by implementing a standardized Medallion data framework through Dagster, significantly accelerating insight delivery across teams. Previously, at Ualá, he managed extensive GCP infrastructure and led AI/ML initiatives with Vertex AI, optimizing resource expenditure and enhancing data workflows. His time at Datalytics saw him innovating in large-scale data processing with Azure Databricks to support vital business metrics. Luciano's experience extends to a role as a Site Reliability Engineer at Zyzygy Inc, where he optimized ELK Stack infrastructure on GCP, handling over a billion daily operational logs. His contributions cut deployment time and reduced critical errors, showcasing his expertise in cloud and DevOps environments.

Experience

  • Data Platform Engineer

    Spot2.mx · 2025 — Present
    Implemented a standardized Medallion data framework using Dagster, which facilitated quicker cross-team insight delivery through monitored end-to-end pipelines. Developed high-performance Django endpoints aimed at enhancing homepage data insights and providing real-time analytics.
  • Data Platform Engineer

    Ualá · 2025 — 2025
    Managed GCP infrastructure, specifically BigQuery, GKE, and Cloud Run, through Terraform/Terragrunt. Developed Python automation scripts to improve integration and ensure reliable data flow between upstream transactional systems and core databases. Led AI/ML initiatives with Vertex AI, establishing observability and governance standards for production-level AI agent workflows.
  • Data Engineer

    Datalytics · 2024 — 2025
    Designed an Azure Databricks Star Schema for handling large datasets exceeding 10TB, which decreased query latency to support critical business metrics and BI dashboards. Built scalable Bronze/Silver/Gold pipelines while ensuring data quality during the ingestion of over 50 million rows of daily transactional and sensor data.
  • Site Reliability Engineer

    Zyzygy Inc · 2022 — 2024
    Optimized ELK Stack infrastructure on GCP, facilitating the centralization and processing of more than 1 billion daily operational logs across five global environments. Automated provisioning processes through Terraform, Docker, and Python, enhancing deployment speed and significantly reducing manual errors.

Skills & Expertise

Education

  • Software Engineering Degree
    Universidad Nacional del Sur · 2015 — 2023

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