Capabilities

Ten competencies.
Four disciplines.

Each one links to the work that proves it.

01 · Data platforms and analytics

Data platforms and analytics

We move organizations off aging warehouses onto governed cloud platforms, then cut the reporting sprawl that built up around the old system.

Cloud data platforms	Snowflake, dbt, Data Vault 2.0 on AWS and Azure; Oracle, SQL Server, Teradata and SAS migrations
Integration	Qlik, Airbyte, Azure Data Factory, Prefect, Airflow, Kafka, REST and GraphQL
Governance	RBAC, data masking, audit controls, data quality, OpenMetadata
Analytics and BI	Power BI, Tableau, SSRS, SSAS, MicroStrategy; report consolidation

02 · Applications and systems

Secure web and mobile applications, and distributed systems where every microsecond and every signature matters.

Full-stack and mobile	React, Vue.js, Java/Spring Boot, Go, Python, PostgreSQL, Oracle; offline-first Android
Distributed systems	Lock-free C++ and Go, message queues, sub-millisecond processing
Applied cryptography	ECDSA/Ed25519 signing, key handling, tamper-evident records

03 · AI-enabled automation

LLM integration and agent infrastructure that speeds up delivery and operations, with a person reviewing every consequential output.

AI automation	LLM integration, MCP agent infrastructure, AI-assisted development with human review

Proven on compliance software provider, where staffing went from 20 to 5

04 · Reliability and delivery

Systems that stay up, and programs that land on schedule.

Observability	OpenTelemetry, Datadog, SigNoz, CloudWatch, incident response, database tuning
Program management	Requirements, integration, testing, CI/CD, Terraform