Experience
Roles where analytics, product thinking, and engineering execution overlap.
Data Solutions Engineer
Built internal products and automation pipelines to reduce operational load in healthcare operations.
- Built and deployed a full-stack Medical Record System with Next.js and PostgreSQL, including offline and online sync for field teams.
- Managed infrastructure across VPS, Nginx, and WordPress Multisite, and centralized DNS in Cloudflare.
- Automated recurring workflows with Python for scraping, HubSpot and Google API jobs, and operations scripts.
- Streamed HubSpot data into PostgreSQL and published BI dashboards in Looker Studio for sales teams.
Highlights
- Reduced deploy and release time from hours to minutes with repeatable pipelines.
- Replaced several manual workflows with small internal tools and automations.
- Improved reliability with backups, monitoring, and incident playbooks.
Tooling
- n8n, Cal.com, and custom internal apps
- Dockerized services on GCP
- PostgreSQL as central operational data layer
Business Specialist Advanced
Connected fragmented support and business data into reliable dashboards for real-time operations.
- Unified fragmented data sources into Databricks and delivered live Power BI dashboards with stable refresh cycles.
- Built an hourly operations dashboard with Python and Zendesk APIs so the Customer Success team could react in real time.
- Maintained the critical layer: schema quality, runbooks, and incident troubleshooting.
What improved
- Teams moved from delayed reporting to near real-time visibility.
- Fewer data quality incidents reached business stakeholders.
- Support leaders had one source of truth for daily decisions.
Notes
- Built practical tooling first, then optimized modeling and governance.
- Prioritized maintainability over complex one-off queries.
BI Analyst
Automated reporting pipelines and launched optimization initiatives across logistics and growth operations.
- Automated a broad set of business metrics with Python, Airflow, SQL, and Power BI to support custom team insights.
- Shipped a route-clustering prototype that became a cost-reduction tool for the La Cesta vertical.
- Led an ML-based map rezoning initiative that rolled out to multiple countries.
- Stabilized flaky pipelines, introduced alerting, and improved dashboard reliability.
Key outcomes
- Better route planning and lower operational cost per delivery.
- Faster analytical turnaround for operations and growth teams.
- Stronger trust in weekly and monthly KPI reporting.
Focus areas
- Pipeline reliability and observability
- Geo data workflows and model feedback loops
- Cross-functional delivery with operations teams