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Tamara SenteTS

Tamara Sente

Senior Databricks / Azure Data Engineer

€500/day
Zagreb, HR
8-15 years

Average response time: 1 hour

About Tamara

I help companies build and scale data platforms that are production-ready, compliant, and fast to deliver on.

With 10 years in data engineering and 4 years specialising in Databricks and Azure, I've worked across the full platform lifecycle, from lakehouse migrations and DWH architecture to regulatory compliance solutions (like GDPR), pipeline performance optimisation, and scaling data platforms across multiple business units.

Typical engagements involve taking an under-performing or legacy data infrastructure and turning it into something the business can actually rely on — with clean architecture, documented delivery, and a team that knows how to run it after I leave.


Stack: Databricks (Unity Catalog, Delta Tables, DLT, PySpark), Azure (ADLS Gen2, ADF, Key Vault, Logic Apps, Azure DevOps), security & intelligence, energy, fintech and banking delivery background.

Based in Zagreb, working to Western EU hours. Available for remote and hybrid engagements — short projects through to long-term contracts.
  • Croatian

    Native or bilingual

  • English

    Fluent

  • Spanish

    Conversational

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

Experience

  • Ignotitia,
    Senior Data Engineer/Owner
    DIGITAL AND IT
    January 2023 - Today (3 years and 5 months)
    Zagreb, GZ, Croatia
    Ignotitia is my own independent data engineering consultancy. I operate as the owner, taking on senior engineering and technical lead engagements with external clients on a B2B basis. Two active client engagements with multiple projects are running under this entity.
    More info about the roles can be found under the sections - Aisma and British Petroleum.
    Python Data Engineer Microsoft Azure Databricks CI/CD
  • Aisma
    Senior Data Engineer
    INTERNET OF THINGS (IOT)
    January 2024 - Today (2 years and 5 months)
    Milan, Italy
    – Built MVP data pipelines for a financial startup, designing ingestion, transformation, and indexing workflows to support RAG use cases using LLMs.
    – Refactored and migrated Python-based ingestion code into PySpark/Databricks, achieving a 1,000x performance increase for Generative AI data preparation.
    – Built scalable ingestion and processing pipelines for large-scale marine and geospatial datasets, supporting trend analysis and predictive environmental modeling in collaboration with DS/ML teams.
    Databricks Data Engineer Terraform Pulumi DevOps
  • British Petroleum
    Senior Data Engineer
    ENERGY AND UTILITIES
    January 2023 - January 2026 (3 years)
    London, United Kingdom
    – Managed multiple teams (4+) as the technical lead, bridging the gap to project stakeholders.
    – Decision making on data architecture, project estimates and set up project from scratch.
    – Established company-wide development and deployment standards; architected automated CI/CD pipelines for Databricks (DBX) and Azure Data Factory (ADF).
    – Designed and optimized high-throughput batch and real-time pipelines using ADF and Databricks.
    – Integrated diverse sources (SFTP, REST APIs, DBs, Microsoft Graph, ArcGIS) and unstructured data (PDFs/PPTs/xlsx) into unified Data Lakes.
    Microsoft Azure Databricks Python API Azure DevOps

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Education

  • Master of Science in Mathematics
    University of Zagreb
    2016
    Master of Science in Mathematics
  • Bachelor’s Degree in Mathematics
    University of Zagreb
    2014
    Bachelor's Degree

Certifications

Skill set

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