One professional, profiles that reinforce each other: from backend, platform and data engineering to governance and adoption. Real cases, not demos.
Each case runs through the same arc —approach, problem, fieldwork, technical solution and data— and describes decisions and trade-offs, not client deliverables: no code or sensitive data is published. Filter by the profile you're after. The approach that governs them →
I built the infrastructure as code for a regulated fintech platform from the ground up: an OpenTofu/Terraform baseline of 12 reusable modules reproducible across three environments with a single apply, secure-by-design least-privilege IAM, and a CDC analytics pipeline from PostgreSQL to BigQuery with zero impact on the transactional database.
Data Engineer / Backend Developer · Technology · streaming data
I built and operated ETL/ELT and streaming pipelines on GCP for high-volume event-driven data, with backend services in Python and Java, and contributed validation frameworks and data governance standards in a multi-stakeholder environment.
Data / Platform Engineer · Fleet transport and logistics · energy and mining
I designed the canonical data model that unifies six fleet sources —operations, risk telematics, SAP costs, vehicle fleet, commercial and drivers— under a single key per vehicle and period, and built two custom MCP servers that expose the systems' APIs and the domain documentation to code agents.
Backend & Data Engineer · Passenger transport · ticketing
I built the event-driven backend that ingests sales, tickets, payments, refunds and manifests from the provider's ticketing platform with HMAC-validated webhooks and immutable raw-first storage, a ledger-style financial model, and a reconstructible analytics layer that feeds the business reporting.
Full-Stack Engineer + Data Migration · Financial services · collections
A full-stack financial platform with a deterministic balance engine and RBAC-secured APIs, replacing Excel-based management, plus an idempotent migration pipeline that moved historical data into accounting software via its API.
I stabilized the pipelines of an enterprise lakehouse on Databricks/Spark/Delta with a Bronze/Silver/Gold medallion architecture, and hardened delivery with CI/CD, data validation frameworks and schema-drift detection, leaving versioned, reproducible datasets for analytics and ML features.
Data and operations coordination · Third sector · social and environmental impact
I led the data and operations of four concurrent social and environmental programs, digitizing manual field operations and designing the data governance and access controls for sensitive community data, with near real-time visibility of funds.
Modelado operativo y analítico · Gobernanza de datos · Control de acceso · Reportería a donantes
Data / economics analyst · Public sector · legislative
I analyzed how proposed laws affected different parts of the economic process —winners and losers, incentives, market structure and social structure— reading the economy as a system of actors and networks with asymmetries, and translated that analysis into dashboards legible to non-technical decision-makers.
Model and scoring design — Mendoza FuturIA observatory · Cross-sector · SMEs and public sector
I designed a maturity model for AI adoption (7 dimensions × 6 levels) and its scoring, in which governance operates as a structural gate: no organization reaches integration without verifiable AI rules. It is the operationalization of 'governance is the moat'.
Diseño de modelo de madurez · Scoring ponderado con gates · Mapeo EU AI Act / NIST AI RMF
Process and systems analyst · Public sector · industrial production and trade
I redesigned and digitized procedures for auto-parts permits, industrial design, foreign trade, and competition oversight, modeling the real process —not the one in the manual— to make it efficient before computerizing it.