Giang N.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

I have 13+ years of experience designing and building enterprise Data Warehouse, BI, and analytics solutions across e-commerce, banking, insurance domains. My background includes end-to-end delivery of scalable DWH/BI systems - data modeling (Star Schema, Snowflake), ETL/ELT pipelines, SQL optimization, reporting architecture, and dashboard development using Power BI, Tableau, IBM Cognos Analytics, DOMO, Quick Sight & Claude. I also have strong experience integrating data from APIs, ERP systems, databases, and multiple business platforms into centralized “single source of truth” in data warehouse. In addition, I have worked directly with clients and stakeholders in consulting roles, leading technical discussions, gathering business requirements, and delivering scalable analytics solutions for enterprise projects and multibrand organizations. ✅Data Foundation - Design and build enterprise-grade single source of truth platforms: data warehouses, data lakes, and lakehouse architectures tailored to complex, fragmented source landscapes. ✅Data Integration & ETL - Automated, high-performance, cost-efficient pipelines connecting diverse sources (APIs, ERP, ad platforms, e-commerce tools) and transforming raw data into analytics-ready datasets. ✅Business Intelligence & Analytics - BI and analytics solutions aligned with business priorities; consistent, fast, decision-ready dashboards and reports for C-suite, operators, and brand teams. ✅Data Modeling - Conceptual, logical, and physical data modeling; multi-layer DWH design (ODS, Staging, EDW, Data Marts); standards definition and data governance. ✅Domains - Deep expertise in banking, insurance, e-commerce, and telecom, gained through multiple projects working directly with client users - gathering, analyzing, and advising clarifying requirements, and designing data models that are scalable and quickly adaptable. ✅AI - Apply AI to data processing, building dashboards and insights that help clients make better decisions through suggestions, visualizations, and alerts; automate and optimize data pipeline development to reduce data integration time with the data foundation. Stack ✅Cloud Platforms: AWS, Azure, On-premise ✅BI Tools: Tableau, PowerBI, Amazon QuickSuite, IBM Cognos, DOMO ✅Language: Python, SQL, Pyspark ✅Database: Amazon Redshift, Snowflake, Netezza, Oracle, PostgreSQL, MySQL Domains Knowledge ✅E-commerce ✅Banking ✅Insurance ✅Subscription ✅Relocation ✅Online Education ✅Retails Feel free to reach me to discuss your challenges!