Recruiter snapshot · Open to international remote & relocation

Backend and data systems for messy operational work.

I’m Daniel, a hands-on backend and data platform engineer. I design, build, deploy, and operate Python/PostgreSQL services, ETL pipelines, API integrations, cloud infrastructure, and applied-AI tooling.

See selected work Download résumé

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

50+ API and reporting workflows

Millions of advertising-data rows processed

1 day → 10 min monthly-report preparation workflow

01 / SELECTED EVIDENCE

Production ownership without the noise.

Representative systems, summarized for a first read. Private details stay private; the useful signal is the operational shape, responsibility, and outcome.

Production platform · Junglr

Amazon advertising data automation platform

A single backend layer for ingestion, reporting, bulk changes, alarms, and account workflows.

Context: Account managers needed dependable data and safer high-volume operations across connected Amazon Ads accounts.
Build: Memory-aware ETL, distributed workers, OAuth/API integrations, PostgreSQL models, alarms, and Sheets/admin interfaces.
Result: Faster report preparation, safer operational control, and one owner accountable for build, deployment, and support.

Open source · PyPI

Buelon orchestration system

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

Compiles Python, PostgreSQL, and SQLite definitions into execution DAGs
Provides scope-aware scheduling, bounded concurrency, transport, and 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.

Drafting, publishing, 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 / OPEN SOURCE

Open source and public proof.

For reviewers who want receipts: focused public projects, sanitized examples, and a contribution graph that includes private work only as aggregate counts.

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 ↗

GitHub + GitLab · Public + private

— development contributions in the last year

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03 / EXPERIENCE

Recent production ownership.

2022 — NOW

Junglr LLC

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

Partner directly with the CEO and account-management team to turn operational bottlenecks into production data systems, integrations, internal tools, and applied-AI workflows.

Official title: VP of Engineering. No direct reports.

2022

CitroFrut USA

Operations

Supported inventory, shipment-request, client, and coworker workflows with Excel and Dynamics 365 before moving fully into software engineering.

PythonPostgreSQLETL/ELTFastAPIFlaskRESTOAuthCloud RunFirebaseDockerLinuxTypeScriptApplied AI

04 / CONTACT

Clear systems thinking for backend, data, and AI-enabled operations.

I’m seeking international contractor opportunities or roles with family-supported relocation, especially where backend engineering meets real business operations.

daniel@orphos.cloud