π Data Engineering and Analytics professional focused on reliable, high-performance data systems.
π» Strong skills in C#, Python, SQL, ETL development, relational modeling, and data quality workflows.
π’ Experience working with SAP ERP processes including materials, pricing, and financial data flows.
π Skilled at converting raw transactional data into structured, insight-ready datasets with automation and documentation.
π Capable of building dashboards, KPIs, and analytical reports that support operational and leadership decision-making.
π€ Currently learning machine learning and applied AI, including feature engineering and model evaluation.
βοΈ Focused on merging traditional data engineering practices with modern AI techniques to build scalable, future-proof platforms.
π Operate with a disciplined engineering approach, prioritizing clarity, performance, and long-term system stability.
π§© Strong problem-solving discipline, structured communication, and business-aligned delivery.
π§° Technical strengths: C#, Python, SQL, Power BI, Pandas, NumPy, SAP ERP data flows, ETL pipelines, JSON workflows.
π― Career goal: Build data systems that are simple, fast, durable, and aligned with business value.
π§ Contact: [email protected] | [email protected]
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