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Lucas ZubiarrainLZ

Lucas Zubiarrain

Python & Azure Developer | Automation & Data

On-demand
Rennes, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Lucas


Hi, I'm Lucas, a developer specializing in Python and Azure, with 2 years of experience in application development and cloud deployment.

🔹 Backend & API → Development with FastAPI, clean and scalable structure
🔹 Deployment → Azure Web App, Functions, Container Registry, Blob Storage, Key Vault
🔹 CI/CD → Automation with GitHub Actions
🔹 Automation & Integration → I also use Make (formerly Integromat) to connect tools

I enjoy creating simple and effective solutions. If you're looking for a developer for your project, let's discuss it!
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Polarys/Silamir
    Banking Flows Monitoring – Alteryx & Oracle
    BANKING AND INSURANCE
    September 2023 - January 2025 (1 year and 5 months)
    Nantes, France

    Context:

    Implementation of a monitoring system for data loads in the banking sector. The objective was to ensure the reliability of the flows and detect errors through automated monitoring.

    Technologies:

    • ETL: Alteryx
    • Database: Oracle
    • Reporting: Power BI
    • Data Formats: CSV, SQL

    Responsibilities:

    🔹 Monitoring of 30 weekly flows loaded into Oracle via Alteryx
    🔹 Development of control SQL queries to identify anomalies
    🔹 Creation and optimization of Alteryx workflows to automate loads
    🔹 Integration with Power BI to display the status of flows (OK/KO) in real-time
    🔹 Error analysis and correction of flows in case of failure

    ✅Automation of monitoring, reduction of errors, and improvement of data reliability for banking management.
    Microsoft Power BI SQL Oracle Alteryx
  • Silamir/Polarys
    Snowflake SQL Requester – Development of an Automation Tool
    AUTOMOBILE
    January 2023 - August 2024 (1 year and 7 months)

    Context:

    Development of an application to generate complex SQL queries without writing code, to facilitate access to Snowflake data and automate export to Azure Blob Storage.

    Technologies & Infrastructure:

    • Backend: FastAPI (Python)
    • Frontend: Streamlit
    • Deployment: Azure Web App, Azure Container Registry
    • Storage & Automation: Azure Blob Storage, Azure Functions
    • CI/CD: GitHub Actions
    • Snowflake Database

    Objective:

    The tool dynamically translates JSON filters into optimized SQL queries, executed on Snowflake. The results are then automatically exported as CSV files to Azure Blob Storage, saving users from manually writing SQL queries and performing manual exports.

    Time saving, error reduction, automation of the data extraction process.







    Microsoft Azure Azure Functions Azure web app Azure Blob Storage SQLAlchemy Python Azure Key Vault

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