🚀 Data Engineering and Analytics professional focused on reliable, high-performance data systems.
💻 Strong skills in C#, Python, SQL, ETL development, relational modeling, and data quality workflows.
🏢 Experience working with SAP ERP processes including materials, pricing, and financial data flows.
🔄 Skilled at converting raw transactional data into structured, insight-ready datasets with automation and documentation.
📊 Capable of building dashboards, KPIs, and analytical reports that support operational and leadership decision-making.
🤖 Currently learning machine learning and applied AI, including feature engineering and model evaluation.
⚙️ Focused on merging traditional data engineering practices with modern AI techniques to build scalable, future-proof platforms.
📐 Operate with a disciplined engineering approach, prioritizing clarity, performance, and long-term system stability.
🧩 Strong problem-solving discipline, structured communication, and business-aligned delivery.
🧰 Technical strengths: C#, Python, SQL, Power BI, Pandas, NumPy, SAP ERP data flows, ETL pipelines, JSON workflows.
🎯 Career goal: Build data systems that are simple, fast, durable, and aligned with business value.
📧 Contact: mzahidcy@outlook.com | mzahidcy@gmail.com
Data Analysis & BI:
Data Engineering:
Data Integration & Reporting:
Python & Analytics Libraries:
Version Control & Collaboration:
