Production-grade automation, data systems and decision infrastructure.

I design and build structured automation and data systems for growing organizations. The objective is simple: eliminate friction, improve clarity, and create reliable decision environments that scale.

Profile

Automation & Data Engineering

Design and implementation of production-grade ETL pipelines, structured data flows, and automation systems that remove repetitive work and enforce consistency across operations. Built for stability, performance, and long-term maintainability.

Business Intelligence & Decision Systems

Decision-focused reporting systems and dashboards built on controlled, validated datasets. The goal is not more charts, but clearer decisions, measurable efficiency gains, and operational transparency.

Productized Tools & Licensed Mini-Apps

Development of focused software tools distributed under license via API validation. Lightweight, purpose-built systems designed to solve defined operational problems with controlled deployment and structured support.

Featured projects

Expertise

Logistics ETL Pipeline

Fragmented operations streams and slow reporting.

Python, SQL, Airflow

Reporting lead-time reduced by 65%.

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Retail Decision Hub

Inconsistent KPIs across teams.

dbt, PostgreSQL, Metabase

Weekly decisions aligned on one source of truth.

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Infra & Observability Baseline

Incidents were hard to isolate quickly.

Linux, Nginx, Systemd

MTTR improved by 40%.

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Featured tools

Client Cases

Logistics Intake Automation

Real/fictive case: central intake and triage automation for inbound client requests.

Client Cases

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Retail Reorder Assistant

Real/fictive case: reorder assistant using sales history and seasonality signals.

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Ops Alert Hub

Real/fictive case: operational alert consolidation into one actionable control channel.

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Trusted by organizations operating in logistics, retail, and structured data environments.

I’m not here to do tech — I build systems that function as products: reliable, auditable, and designed for real operational impact.