Open to opportunities

Daniel Peñaloza

@danielpealoza

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I build APIs, data pipelines, and scalable integrations that improve product operations.

Chile

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What I'm looking for

I'm looking for a role where I can build APIs, data pipelines, and scalable systems whose solutions have a real impact on the product.

At Whale Cloud Technology, I integrate an active B2B mobile app by debugging REST APIs, managing databases, testing functionality end to end, and resolving module integration issues with international technical teams.

Previously at FID Chile Seguros Generales, I designed ETL extractors and Google Cloud serverless functions that reduced execution time and costs by 50%. I generated more than 5 GB of structured data for business analysis and anomaly detection while automating critical pipelines to eliminate manual processes and reduce operational errors.

I've also built complete tax-querying and calculation applications at NIDS, reducing SII tax-data retrieval from 30 minutes to instantaneous.

My projects include a high-concurrency Discord virtual economy and analytics bot, an internship management platform, and a Chilean game-price comparison web platform. I work across Python, JavaScript, TypeScript, Node.js, cloud services, databases, and REST APIs, and I'm looking to build solutions with real product impact.

Experience

Work history, roles, and key accomplishments

Current

Application Integration Engineer

Current

Whale Cloud Technology Co., Ltd

Jan 2025 - Present (1 year 7 months)

Integrating an active B2B mobile app by debugging REST APIs, managing databases, and performing end-to-end functional testing. Developing internal mini-apps and resolving integration issues between modules while collaborating with international technical teams.

REST APIs Database Management Functional Testing Debugging Integration

Data Engineer

FID Chile Seguros Generales S.A.

Jan 2023 - Jan 2025 (2 years)

Designed and maintained ETL extractors and serverless functions on Google Cloud, achieving a 50% reduction in execution times and costs. Generated over 5 GB of structured data for business analysis and anomaly detection, and automated critical data pipelines to eliminate manual processes and reduce operational errors.

ETL Serverless Data Pipelines Automation Data Analysis

Full-Stack Developer

NIDS – Núcleo de Investigación de Data Science

Jan 2023 - Mar 2023 (2 months)

Automated tax data retrieval from the SII, reducing processing time from 30 minutes to instantaneous. Built the complete application for tax data querying and calculation.

Automation