Real Work
Not demo projects. Actual builds and outcomes. Metrics below are representative of delivered work; where numbers are estimates rather than confirmed results, that's called out.
Most of my new work now gets built using AI-assisted development (Claude Code and similar tools). It takes a tool from idea to a working, deployed build in days instead of months, and that speed is part of what makes the pricing on the packages page realistic.
Paste a BigQuery SQL query, get an instant dry-run cost estimate, monthly cost projection, cache-hit rate, a 0โ100 optimization score, and AI-generated rewrite suggestions.
๐ข Live & deployedExecutive dashboards that read BigQuery's own usage metadata to show which queries are driving spend (Pareto view, KPIs, drill-down), with AI-generated optimization tips.
๐ข Live & deployedRuns every month, quietly checks a cloud bill for waste (old snapshots, duplicate data, inefficient queries) and hands back a plain-English breakdown of exactly what's costing money and why.
A note on data handling: your files are never used to train any model, and everything I deliver is reviewed by me personally before it reaches you.
The kind of scoped, "get this data usable fast" work I've done for outside vendors and partners: multi-format ingestion, cleanup, automation, and stable datasets, most delivered in 10โ15 days.
Data analytics platform offering business intelligence APIs.
Integrated nested JSON data into GCP and BigQuery, enabling analytics-ready dashboards.
Market intelligence platform offering traffic and engagement insights.
Automated cohort generation and dashboard updates on a weekly cadence.
Global web data provider delivering structured business intelligence datasets.
Merged monthly snapshots into dynamic views that feed straight into the dashboards.
Third-party security and audit service for digital compliance reporting.
Created compliance-ready reference datasets with document proofing capabilities.
DNS intelligence service offering real-time and historical DNS datasets.
Stored and optimized DNS data for scalable, big-data consumption.
AI-powered domain name generator and branding platform.
Powered real-time domain name recommendations for Namify's platform.
Public registry of top-level domain zone files managed by ICANN.
Automated daily ingestion of ICANN zone files for monitoring and reporting.
The enterprise-scale side of my day job, in case your project ever grows past a spreadsheet or a small database.
Cloud modernization + FinOps discipline · GCP ยท BigQuery ยท SQL ยท Tableau
Situation: Legacy on-premise infrastructure and mixed query patterns led to slow delivery and unpredictable costs.
Reliability + clarity + ownership · BigQuery ยท Tableau ยท Governance
Situation: Years of incremental BI growth caused duplicated logic, fragmented pipelines, and maintenance drag.
Reduce ad-hoc load, improve adoption · GCP ยท BigQuery ยท Tableau
Situation: Central BI teams were overloaded with recurring questions and custom extracts.
Operational BI reliability · BigQuery metadata ยท n8n ยท Tableau
Situation: Extract failures and stale dashboards created downtime and invisible data drift.
Internal enablement via automation · n8n ยท LLM summarization ยท Slack/email
Situation: Stakeholders needed a daily signal without manual curation.
Send me your file, or just describe what you need.