Featured Case Studies
Real engagements, mapped to the services I run: platform builds, ingestion at scale, activation, and governance. Each case study includes the challenge, the architecture, the trade-offs, and the measured outcomes.
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Multi-Tenant Ingestion at Scale: 90% Cheaper, 80% Faster, 99.9% Uptime
90–99% cost reduction | 80% latency reduction | 99.9% uptime
Tech Stack: AWS DMS | :simple-amazonsqs: SQS | :simple-awslambda: Lambda | Snowpipe | :simple-apacheiceberg: Iceberg + Polaris | :simple-dbt: dbt
How a multi-tenant SaaS platform with ~2,000 PostgreSQL tenant schemas re-architected ingestion across DMS, SQS, Lambda, and Snowpipe — then cut Snowflake ingestion cost by 99% by migrating to Apache Iceberg with Polaris catalog.
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30 Days to Data-Driven: How a Modern Analytics Stack Unlocked Faster Insights and Lower Costs
50% cost reduction | 80% faster insights | 60-second rebuilds
Tech Stack: Snowflake | :simple-dbt: dbt | Metabase
A first-person case study showing how a modern analytics stack delivered transformational results in just 30 days—complete with step-by-step blueprint for implementation.
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Governed Analytics: End-to-End Analytics Platform
Speed to insight | Reliability | Security
Tech Stack: Snowflake |AWS | GitLab | :simple-dbt: dbt | Power BI
Built a governed, scalable data platform with CI/CD, environment isolation, and private-by-default network security serving 40+ business users.
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End-to-End Reverse ETL: Snowflake → Salesforce
$10,000/year saved | 90% latency reduction | Clear audit trail
Tech Stack: Python | Snowflake | :simple-salesforce: Salesforce |AWS | Docker
A lightweight, config-driven reverse ETL pipeline that saved thousands in tooling fees while providing better control and performance than third-party solutions.
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Transaction Anomaly Detection Simulation
Real-time detection | Stateless architecture | Interactive monitoring
Tech Stack: Python | Snowflake | Redis | Streamlit | Scikit-learn
A lightweight, per-wallet anomaly detector that works with minimal fields and can surface unusual behaviour despite high traffic skew using ML and statistical methods.