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Luciano Scarpulla

Hong Kong :: scarpulla53@gmail.com
LinkedIn GitHub

// summary

  • Passionate tech professional with a strong background in Python programming and data analysis. Skilled at turning complex data into actionable insights and collaborating with teams to solve problems. Excellent communicator with a proactive and adaptable approach.

// skills & certificates

  • Programming: Python, Rust, SQL, Multi-threading, Multi-processing, Web Scraping
  • Data Analysis: Pandas, Polars, NumPy, PySpark, ETL processes, Parquet, Apache Arrow
  • Machine Learning: Neural Networks, Large Language Models (LLMs), AI, Deep Neural Networks (IBM)
  • Tools: Tableau, Sisense, Matplotlib, Streamlit, Git, AWS, Azure, S3, Linux
  • Language: English, Italian, French
  • Soft Skills: Problem-solving, project management, teamwork, client support

// experience

  • Senior Python Developer / Business Intelligence Analyst WINGX (Part of JETNET) 2024-11 - present
    Hong Kong

    After the acquisition of WINGX by JETNET, I took on a senior role to further drive the integration and expansion of our BI capabilities while focusing on the development and optimization of our Python-based data processing systems.

    • Lead Python+SQL based data projects to support business intelligence, aligning technical solutions with company goals.
    • Optimize data pipelines, cutting processing times by 20% using Python libraries and building multi-threaded tasks.
    • Collaborate with global teams to deliver reliable, scalable solutions for clients.
    • Work on integrating customer’s data with market intelligence with multiple SQL databases and other file formats (Parquet, HDF, S3 buckets, etc.)
  • Business Intelligence Lead Analyst / Python Developer WINGX (Part of JETNET) 2021-10 - 2024-11
    Hamburg

    Lead Analyst at a pioneering aviation-focused business intelligence startup, acquired by JETNET LLC in 2023 due to significant growth and strategic contributions.

    • Built and maintained concurrent data pipelines, reducing processing time by 70% and enabling faster insights.
    • Created 100+ BI reports and dashboards using Tableau and Sisense, helping clients make informed decisions.
    • Worked closely with clients to understand their needs and deliver tailored analytical solutions.
  • Data Researcher WINGX 2021-02 - 2021-10
    Hamburg

    Undertook part-time employment as an independent data researcher for WINGX.

    • Gathered and analyzed aviation data to support team research initiatives.
    • Partnered with colleagues to identify trends and improve data-driven decision-making.
  • Flight Adviser / Sales PRIVATEFLY (Now known as FXAIR) 2019-05 - 2020-08
    London

    Student internship at the leading Private Jet Charter company in Europe. Securing and closing sales leads.

    • Secured new clients and generated over 320K GBP in sales for private jet charters in 13 months.
    • Discussing with the clients about their private jet needs.
    • Analyzing and researching the market for private jet availability.

// education

  • Coventry University BSc H. 2017-09 - 2021-05
    Aviation Management
    UK

    A comprehensive 3+1 year degree based on International Business Management focused on international business, data management, and analytics in the aviation industry.

    • International Business and Information Management
    • Project Management and Business Development
    • Business Information System
    • Supply chain logistics
    • Airline Marketing and Management
    • Fundamentals of Aeronautical Engineering

// projects & talks

  • Sprint Leader at PyCon HK 2025 - frame-check @ City University of Hong Kong view

    Leading an open-source sprint at PyCon Hong Kong 2025 for frame-check, a Python static analysis tool that validates DataFrame schemas and column access at development time.

    • Developed a DataFrame validation tool that tracks schema and raises errors for invalid column access or schema violations.
    • Leading sprint goals including core parser (DataFrame creation parsing, user-specified schema, variable assignment) and core checker (rules and validators).
    • Planning LSP/file watcher integration for real-time feedback during development.
  • Narwhals - Discover DataFrame Interoperabilty (Python User Group @ City University of Hong Kong) view

    Gave a talk at City University of Hong Kong for the Python User Group demonstrating DataFrame interoperability between Pandas, Polars, and DuckDB, focusing on practical use cases and performance considerations.

    • Presented techniques for seamless data conversion between different DataFrame libraries.
    • Demonstrated performance optimizations when working with large datasets.
    • Shared real-world examples of data manipulation workflows that leverage multiple DataFrame implementations.
  • Simplemind (LLM/ Generative AI) - Open Source view

    Collaborated with the creator of Python's requests library to develop Simplemind, an LLM library with OpenAI and other LLMs integrations.

    • Designed and implemented core features and proof-of-concept (PoC) solutions.
    • Documented software designs and integration best practices to ensure scalability and maintainability.