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Marcus P.
Data Engineer

Airflow
Kubernetes
Django
Spark
Google Bigquery
Python
Postgresql
Docker Cloud
Bio

An experienced professional with over nine years of expertise in web systems development and infrastructure. Demonstrates robust knowledge in a variety of programming and scripting languages, including Python and Shell Script, alongside proficiency with version control systems like Git. Possesses in-depth understanding and practical experience with containerization technology, specifically Docker, and cloud service platforms such as Google Cloud Platform (GCP) and Amazon Web Services (AWS). Proficient in administering and operating both Linux and Windows operating systems, with substantial skills in data engineering and systems architecture.

  • Data Engineer
    7/1/2021 - Present

    Gained expertise in developing pipelines for data ingestion into Data Lake and Databases. Designed and implemented database structures to facilitate data reception and transfer from Data Lake to Raw Data. Engineered seamless integrations across various systems, showcasing versatility in handling diverse technological environments. Developed REST APIs, JSON RPC, and GraphQL interfaces to ensure efficient data export and reception.

  • Web Developer
    6/2/2016 - Present

    Developed applications for Big Data analysis with a focus on creating interactive dashboards. Created and optimized scripts using PowerShell, Shell Script, and Python for efficient data input processes. Installed and configured Splunk environments to support extensive data monitoring and analysis tasks.

  • Systems Analysis at Unigranrio University
    2013 - 2016

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