Golden Suite -- polyglot data-quality + entity-resolution toolkit with a Learning Memory loop. GoldenCheck profiles -> GoldenFlow standardizes -> GoldenMatch dedupes (zero-config, 97% F1) -> GoldenPipe orchestrates. Corrections persist + learn across runs. MCP server per package, multi-arch containers, drop-in Airflow DAGs.

Deterministic identity-resolution engine in TypeScript: Zod-validated handlers, mocked deps, and a CLI that mirrors the future HTTP API.

Customer 360 Data Engineering Pipeline on GCP using BigQuery, Dataform, and Looker Studio.

Comprehensive Retail Analytics project containing the full data lineage (Bronze/Silver/Gold CSVs), SQL transformation scripts, and Customer 360 reporting logic.

✅ End-to-end Snowflake data lake for a fictional retail bank — ingests 25,000 nested JSON customer records through a RAW → SILVER → GOLD pipeline, builds fact and dimension tables, and surfaces a Customer 360 & risk analytics dashboard via Streamlit in Snowflake.

Unlock data-driven growth with our 360° Customer & Sales Analytics. Identify churn risks, optimize sales strategies, and boost profitability through actionable insights.

Financial Services 360 — Intelligent Churn Prediction using Salesforce Data Cloud + AI This project simulates how a Data Solution Engineer would integrate Salesforce Data Cloud with an AI pipeline (pandas + scikit-learn), visualize results in CRM Analytics (Tableau CRM), and present a data story to a business audience in Financial Services.

Hệ thống ETL Big Data giúp hợp với các luồng dữ liệu tương tác rời rạc (log search, log content) thành một góc nhìn khách hàng toàn diện. Sử dụng Apache Spark để xử lý quy mô lớn, tập trung vào tối ưu hóa chất lượng dữ liệu (Data Cleaning) và phân tích hành vi người dùng.