Open to international remote & relocation

I build the systems that turn messy operations into dependable software.

I’m Daniel, a hands-on backend and data platform engineer working across Python, PostgreSQL, distributed ETL, API integrations, cloud infrastructure, and applied AI.

See selected work Download résumé

U.S. citizen · Based in Puebla, Mexico · Available during U.S. working hours

production_system.map operating

01 / INGEST

External APIs50+ workflows

Operational inputSheets + CRM

02 / ORCHESTRATE

Python servicesETL · OAuth · APIs

PostgreSQLmillions of rows

03 / OPERATE

Internal toolsreporting + control

Applied AIanalysis + prep

human review stays in the loop DESIGN → BUILD → OPERATE

50+ API and reporting workflows

31 connected client accounts supported

Millions of advertising-data rows processed

1 day → 10 min monthly-report preparation workflow

01 / SELECTED WORK

Systems built around real operational constraints.

Production work is private where client and company data require it. The architecture, decisions, and outcomes below are described without exposing sensitive implementation details.

Production platform · Junglr

Amazon advertising data and automation platform

One operating layer for data ingestion, reporting, bulk changes, account analysis, and internal workflows.

Context: Account managers needed reliable access to large advertising datasets and safer ways to make high-volume changes.
Build: Low-memory ETL, distributed workers, API and OAuth integrations, reporting, KPI alarms, Google Sheets control surfaces, and administrative tools.
Role: Designed, built, deployed, and continue to operate the platform end to end as a hands-on individual contributor.

Open source · PyPI

Buelon orchestration system

A Python/SQL workflow engine and custom DSL for composing I/O-heavy ETL pipelines across distributed hub and worker processes.

Compiles Python, PostgreSQL, and SQLite definitions into execution DAGs
Scope-aware scheduling, bounded concurrency, transport, and pluggable storage
Used within Junglr’s production data platform

View source PyPI

Client platform · Serverless

Website, CMS, and email pipeline

A React and Firebase publishing platform paired with a serverless newsletter delivery and event-processing system.

Drafts, publishing, version history, media, SEO, and admin workflows
Firebase Functions, Cloud Run Jobs, Amazon SES, suppression, and retries
Replaced commercial tooling with usage-based infrastructure

Private client system · details shared at an appropriate level

02 / PROJECTS & EXPERIMENTS

Building beyond the immediate requirement.

P.01

Cronevents

Persistent Python scheduling with composable event expressions, isolated callback processes, durable state, process logs, and SQLite/PostgreSQL backends.

PythonSchedulingPostgreSQL

GitHub ↗PyPI ↗

P.02

Amazon Ads API Demo

A public, sanitized demonstration of Amazon advertising reporting flows and asynchronous report retrieval.

PythonAPIsAsync workflows

GitHub ↗

P.03

Graphics & simulation lab

Python/OpenGL and GLSL experiments spanning shader pipelines, signed-distance fields, radiance cascades, temporal accumulation, pathfinding, inverse kinematics, and procedural generation.

PythonOpenGLGLSL

Private experiments

03 / EXPERIENCE

Hands-on ownership, from problem definition through production.

2022 — NOW

Junglr LLC

VP of Engineering / Hands-on Backend & Data Platform Lead

Independent-contributor role partnering directly with the CEO and account-management team. I translate operational bottlenecks into production data systems, integrations, internal tools, and applied-AI workflows—then own deployment and operations.

Official title: VP of Engineering. No direct reports.

2022

CitroFrut USA

Operations

Supported inventory, shipment-request, client, and coworker workflows using Excel and Dynamics 365. Applied Python to limited workflow-support tasks before moving into professional software engineering.

04 / CAPABILITIES

Strongest where backend systems meet business operations.

Backend & APIs

Python, FastAPI, Flask, REST, WebSockets, OAuth, asynchronous services, third-party integrations

Data platforms

PostgreSQL, SQL, ETL/ELT, schemas, indexes, upserts, distributed workflows, memory-aware processing

Cloud & operations

Google Cloud Run, Cloud Build, Firebase, Docker, Linux, systemd, deployment automation, monitoring

Applied AI

Claude, Gemini, RAG, company-data retrieval, agent workflows, architecture, validation, and production operation

Operational tooling

React, TypeScript, Google Sheets automation, Chrome extensions, Zoho CRM, administrative interfaces

05 / ABOUT

I like the work between “we do this manually” and “this runs reliably.”

I’m at my best when the problem crosses boundaries: data shape, API behavior, user workflow, infrastructure, and the practical realities of operating software. I work directly with stakeholders, reduce ambiguity, ship incrementally, and stay responsible after deployment.

I’m a U.S. citizen currently based in Puebla, Mexico. I’m seeking international contractor opportunities or roles with family-supported relocation—especially in backend, data platform, integration, internal-tools, cloud/platform, and applied-AI engineering.

06 / CONTACT

Have a hard systems problem?

daniel@orphos.cloud