~/ berkayozcelik.dev

Experience

4 years, 3 companies,
countless pipelines.

Jan 2026 — Present • Istanbul, TR

Data Engineer @ Eczacıbaşı Sanipak

Contributing to the redesign and governance of the enterprise data platform. Focused on data governance, scalable ETL/ELT pipelines, and data quality foundations across the organization.

  • Led adoption of a company-wide Data Governance platform, defining business glossaries and standardized terms with domain stakeholders.
  • Designed and implemented scalable ETL/ELT pipelines using SSIS and Apache Airflow.
  • Built comprehensive data quality checks including freshness, row count validation, duplication detection, null ratio analysis, and business rule validation.
Airflow/ SSIS/ Data Governance/ Python/ SQL
Jan 2025 — Jan 2026 • Istanbul, TR

Data Engineer @ Penta Teknoloji — Yıldız Holding

Developed and maintained data pipelines for large-scale enterprise and e-commerce use cases across on-prem and cloud platforms, enabling real-time and analytical workloads.

  • Collaborated with Autodesk Product Group to deliver a real-time analytics solution contributing to a 1% increase in net income.
  • Built and maintained complex, business-rule-driven data pipelines for the MSI Sales Team.
  • Designed ETL/ELT pipelines across on-prem (SSIS, Airflow) and Azure/Fabric cloud environments with high availability and scalability.
Azure / Fabric/ Airflow/ SSIS/ Real-time Streaming
Apr 2024 — Jan 2025 • Istanbul, TR

Data Analyst @ Penta Teknoloji — Yıldız Holding

Delivered analytics and BI solutions across multiple business domains, enabling data-driven decision-making through secure and well-modeled reporting layers.

  • Developed end-to-end Power BI dashboards for finance, risk, marketing, sales, logistics, inventory, and business development teams.
  • Implemented row-level security (RLS) policies to ensure controlled and role-based data access.
  • Worked closely with business stakeholders to translate requirements into analytical data models.
Power BI/ DAX/ Data Modeling/ RLS
Aug 2023 — Nov 2023 • Jena, DE

Data Science Intern (Erasmus+) @ Leibniz Institute on Aging (FLI)

Research-focused internship in microbiome and aging studies, combining transcriptomics data analysis with modern machine learning methods.

  • Conducted literature reviews on transcriptomics datasets related to aging and sepsis.
  • Explored microbial content in blood samples using large-scale gene expression data.
  • Presented advanced ML approaches such as Liquid Neural Networks and Autoencoders in journal club sessions.
Python/ Machine Learning/ Bioinformatics/ Autoencoders