Jake Williams

Experience

• Spearheaded the enterprise Claude plugin marketplace (12 plugins, 6 domains): ~200 monthly active users — 40% of the company, incl. 5 C-suite regulars — 2K+ queries/month; cut token consumption 30% vs. unassisted LLM use; own roadmap, evaluations, and governance.
• Own the enterprise CDC/replication platform (real-time event streaming): inherited mid-build, shipped it, re-architected Event Hubs → Apache Kafka (Strimzi on Kubernetes), cutting $30K+/yr; Debezium CDC from SQL Server, PostgreSQL, and Oracle (LogMiner), plus custom Java Kafka Connect connectors where none existed.
• Lead engineer, semantic analytics (Claude + Snowflake Cortex): governed NL analytics with consistent regulatory reporting — Quarterly Reserve Review 3 days → <30 min, QBR prep 4 days → <1 hr; Cortex evaluations made answers trusted and compliant.
• Analytics engineering at scale: 700+ dbt models (ELT) across 5 domains on a Snowflake medallion lakehouse, incl. a financial-reconciliation framework; type-2 period-fact models for point-in-time analysis; data-quality tests in CI.
• Expert-level data orchestration (Dagster) — software-defined assets, partitioned assets, jobs, schedules, asset checks; run-failure sensors with email alerting for rapid pipeline-failure detection; business-driven sensors on bound deals improved responsiveness and closure 20%.
• GitOps everything: Argo CD + Helm deliver every platform service — Kafka, connectors, orchestration, observability; PySpark compaction jobs on Apache Iceberg keep streaming tables query-efficient.
• Observability as code: 60+ dashboards/monitors ship via GitHub Actions (Datadog, Prometheus); forecast monitors prevented 5 OOM incidents and avoided ~20% infra cost (FinOps).
• Technical leadership: code reviews, mentoring, office hours driving AI-assisted development adoption; SOC 2 SOPs and audit support.

• Co-designed the enterprise data architecture (lake, EDW, reporting layer) on the core design committee; helped build the reporting solution the company scaled on. Promoted to Data Engineer in 12 months.
• Built a key component of the enterprise pricing tool — a TypeScript microservice on Azure integrating external and internal storage/processing APIs (GraphQL, MCP, PostgreSQL); SME on feasibility, cost, and risk.

• Drove data-governance initiatives for specialty P&C analytics — integrity, lineage, regulatory compliance; delivered an Agile migration of analytics workloads to AWS Redshift; designed and ran the team's AWS training program.

• Independent contractor building client data, analytics, and technology platforms — flagship: Laughlin River Tours' full stack (automated pipelines, AWS QuickSight over Glue); payment processing (Stripe) and menu systems for Laughlin Ice @ Regency Casino; Arizona Snowbowl table-management app ($100K+ cost avoidance); WrapWorks Las Vegas and others.