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Varun NandaVN

Varun Nanda

Data Engineer | Cloud and Business Intelligence

€300/day
Berlin, DE
0-2 years

Average response time: 1 hour

About Varun

Hi, I’m Varun, 23 years old, with hands-on experience in both startup and corporate environments. Working in dynamic teams has shaped my adaptability, problem-solving mindset, and eagerness to take ownership of impactful projects.

Passionate about turning raw data into actionable insights, I specialize in data engineering, analytics, and cloud computing. My journey has taken me from university projects—including descriptive and predictive analysis—to my role at Valesa GmbH, where I built scalable data models, optimized ETL pipelines, and developed web applications with embedded Power BI dashboards.

Currently, I am seeking a new opportunity in data and business intelligence engineering, driven by the motivation to keep learning, refining my skills, and contributing to innovative data solutions that empower better decision-making.

🔹 Tech Stack: Python, SQL, Power BI, Azure (Synapse, Databricks, Data Factory), API Integrations, ETL/ELT Pipelines
🔹 Key Strengths: Data Modeling, Business Intelligence, Web Applications, Cloud Architecture, Agile & Jira

📈 My Motivation: I believe data is more than numbers—it’s a story waiting to be told. My goal is to bridge the gap between data and business strategy, enabling organizations to unlock value and push the boundaries of technology. Always eager to learn, innovate, and collaborate, I thrive in environments where curiosity and creativity meet real-world impact.
  • English

    Native or bilingual

  • German

    Conversational

Can work on-site
Berlin (up to 50km)

Experience

  • VALESA GMBH
    BUSINESS INTELLIGENCE ENGINEER
    DIGITAL AND IT
    June 2023 - September 2024 (1 year and 3 months)
    Berlin, Germany
    • Developed and monitored ETL processes using Python and Azure Data Factory, improving data accuracy by 40%.
    • Integrated and maintained 10+ APIs (REST, GraphQL, OPEN), streamlining input to the staging layer.
    • Optimized SQL Queries in data warehouse, ensuring schema integrity and query performance.
    • Developed scalable ETL processes using Python and Azure Data Factory for structured pipeline management.
    • Supported data QA processes and stakeholder communication to ensure accuracy and transparency in data (with MS Excel) forreporting.
    • Built interactive dashboards with Power BI and DAX that provided actionable insights and data– informed decisionsfor stakeholders.
    Microsoft Azure SQL Python Microsoft Power BI api integration
  • DISTRICT 15
    INTERN DATA ANALYSIS
    March 2021 - September 2021 (6 months)
    • Provided ROI estimates and regional growth trends through data visualization and reporting.

    • first experience with MS Excel (pivots and power queries)


    Microsoft Excel power query Pivot tables market trends

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Education

  • GERMAN COURSE
    WIPA
    2025
    GERMAN COURSE
  • BSC. IN DIGITAL BUSINESS
    UNIVERSITY OF EUROPE FOR APPLIED SCIENCES
    2024
    BSC. IN DIGITAL BUSINESS

Skill set

Categories