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Professional Timeline

Professional Timeline

·436 words·3 mins
Panos Korovesis
Author
Panos Korovesis
Data Engineer at BIG DATA LAB, Msc Data Science
Table of Contents

Introduction ๐Ÿ“‹
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Here you can find a detailed overview of my professional and educational journey. Over the years I have been involved with different subjects and technologies, always with a focus on data engineering.

Professional Experience ๐Ÿ’ผ
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  1. Data Engineer

    Jan 2022 - Present

    BIG DATA LAB ยท Full-time ยท Athens, Greece

    • Led end-to-end project delivery, fully supporting a single client's data infrastructure needs
    • Designed, implemented, and maintained efficient ETL pipelines handling large volumes of data reliably
    • Built and managed data warehouse solutions, ensuring data integrity and optimal performance for analytics
    • Developed containerized applications for data processing workflows, enabling scalable and portable deployments
    • Enabled accurate visualizations with complete uptime, ensuring reliable and consistent data availability
    • Automated data workflows using Apache Airflow for orchestration and scheduling
    • Implemented CI/CD pipelines with Jenkins for seamless deployment processes
    Tech Stack: Python, SQL, Apache Spark, Airflow, Docker, Jenkins, Linux
  2. Open Source Developer - Google Summer of Code

    May 2021 - Aug 2021

    LibreOffice

    • Participated in Google Summer of Code 2021, contributing to LibreOffice's core VCL (Visual Class Library) system
    • Worked on a large-scale C++ codebase, collaborating with international developers and mentors
    • Completed missing import/export tests for the SVM (StarView Metafile) format, improving test coverage
    • Refactored VCL Metafile functionality by creating separate SvmReader and SvmWriter classes
    • Improved code organization and maintainability through architectural improvements
    • All commits successfully merged into the LibreOffice codebase
    Details about my work: View my GSoC project details

Education ๐ŸŽ“
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  1. Master's Degree, Data Science and Information Technologies

    Oct 2023 - Jul 2025

    National & Kapodistrian University of Athens

    • Graduated with distinction, achieving a final grade of 9.68 out of 10
    • Completed advanced studies in data science, machine learning, and information systems
    • Developed expertise in deep learning frameworks and neural network architectures
    • Mastered advanced statistical methods and predictive modeling techniques
    • Completed research projects involving large-scale data analysis and pattern recognition
    • Gained hands-on experience with modern ML frameworks and tools
    Key Skills: PyTorch, Python, Advanced Data Science methodologies
  2. Bachelor's Degree, Computer Science

    2017 - 2022

    National & Kapodistrian University of Athens

    • Completed comprehensive studies in computer science fundamentals and software engineering
    • Mastered core concepts including algorithms, data structures, and computational complexity
    • Gained expertise in database systems, computer networks, and distributed systems
    • Developed strong programming skills across multiple languages and paradigms
    • Completed projects in software development, system design, and network programming
    • Laid the foundational knowledge that enabled my transition into data engineering

Summary ๐ŸŽฏ
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My experience spans from developing ETL pipelines and managing data warehouses to contributing to large-scale open source software projects and training machine learning models.

On a side note, I am currently learning about home-labing :)