Execution cases built to show value, scale, and operational credibility
Each case shows how strategic intent becomes technical delivery, helping decision-makers see both the opportunity and the proof behind execution.
A runnable CDC stack that captures PostgreSQL WAL changes with Debezium, normalizes events in Python, and publishes analytics-ready bronze, silver, and gold layers with dbt and...
A lakehouse case that provisions AWS storage with Terraform, lands simulated event data in S3, and processes silver and gold Delta layers in Databricks with PySpark.
A cloud-native analytics workflow that provisions BigQuery and storage with Terraform, ingests market data with Python, and tests warehouse models with dbt and GitHub Actions.
A cross-cloud project that treats Azure storage and Snowflake modeling as a business-ready ingestion pattern instead of isolated cloud mechanics.
An event-driven serving path where Kafka carries market-style events, Redis holds current state, and FastAPI exposes low-latency endpoints for live consumption.
A portfolio project that links data engineering foundations with AI-enabled interfaces for warehouse and documentation access.
A production-grade framework that embeds data quality validation, contract enforcement, and governance checks into every layer of the data pipeline, from ingestion to mart deliv...
A retrieval-augmented generation pipeline that ingests enterprise documents, chunks and embeds them into pgvector, and serves grounded answers through a FastAPI service backed b...
A next-generation data pipeline where Claude-powered agents connected via Model Context Protocol autonomously detect schema changes, fix data quality issues, reroute failed load...
An open-source observability platform that monitors data freshness, volume anomalies, schema changes, and pipeline health across the entire data stack, with a Streamlit dashboar...