Deterministic identity-resolution engine in TypeScript: Zod-validated handlers, mocked deps, and a CLI that mirrors the future HTTP API.
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Jun 10, 2026 - TypeScript
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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.
Customer 360 churn demo on Microsoft Fabric - behaviour-derived churn, Lakehouse + Direct Lake semantic model + ontology/graph + dual-source Data Agent. Fully config-driven and idempotent.
End-to-end Customer 360 analytics platform with SQL, Python, ML, SHAP, and Streamlit for customer segmentation, churn risk prediction, health scoring, and revenue action planning.
Integration patterns for Salesforce Data Cloud and SFMC to activate near-real-time customer journeys.
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.
Customer 360 MVP with Python, PostgreSQL, Salesforce CRM, and Salesforce Data Cloud Identity Resolution.
Production-ready Customer 360 Analytics Lakehouse built with Apache Spark, Delta Lake, MinIO, DuckDB, dbt, Docker, and Power BI.
Customer intelligence and Reverse ETL platform that turns Mandera commerce data into segmentation, Customer 360, and holiday-aware campaign recommendations, syncing insights into Monday CRM.
Sync customer intelligence from a warehouse like Snowflake into operational customer profiles, compute rule-based segment membership, and activate (push) those profiles to downstream targets — all from one consistent, idempotent pipeline keyed on customer_key.
Entify is an early open-source workspace for entity resolution, record linkage, and data deduplication. It helps teams profile messy datasets, configure Splink-powered matching workflows, and review explainable match clusters.
End-to-end Databricks Lakehouse for revenue leakage detection, payment recovery, Customer 360 analytics, and executive AI/BI reporting.
Customer 360 para telecomunicaciones con historia SCD2, cohortes, Polars, DuckDB, SQL, calidad de datos y salidas analĂticas.
Customer 360 CDC platform with PostgreSQL, Debezium, Kafka, dbt, Snowflake, Airflow, FastAPI, identity resolution, privacy controls, and reverse ETL.
SvelteKit + FastAPI + Atlas Search, Vector Search, streaming, and agent memory
Built a Customer 360 platform with Docker, PostgreSQL, dbt, and Airflow that combines SaaS and fintech customer data. The scoring models were tested against real data, bugs were fixed, and decisions were based on the results instead of assumptions.
PySpark Customer 360 medallion lakehouse with Airflow, data quality gates, and Power BI exports
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