Combined experience in software and data, with a clear shift into data engineering.
Impact
Execution focused on measurable outcomes.
Data, automation and web development connected to real operational needs.
Orbyte and markEDdown shipped as personal product initiatives with real execution scope.
Own projects
Selected case studies
Cinematic spatial productivity system
Orbyte is a visual productivity system built as a navigable 2D universe. It maps categories, objectives, tasks, subtasks and habits into a cinematic experience with pan, zoom, contextual focus and real-time domain operations.
Main stack: Next.js 16, React 19, TypeScript, Tailwind v4, Framer Motion, Three.js/R3F and Zustand, with CRUD APIs and editable workspace-backed persistence.
Local-first Markdown editor
markEDdown is a local-first Markdown editor built for focused writing, structured documents, and polished preview workflows. It combines CodeMirror, live rendering, reusable assets, local history, and an inspector layer without sending content to a backend.
Main stack: Vite, Vanilla JavaScript, CodeMirror 6, Marked, JSZip, and CSS custom properties, with localStorage-backed persistence, HTML/Markdown export, and document tooling optimized for longer writing flows.
Quick summary
Technical profile focused on execution.
Pipelines, transformation, quality and governance across cloud environments.
Strong foundation in development, automation and useful solution delivery.
Goal orientation, productivity and continuous process improvement.
Profile
I build data solutions that improve how teams operate.
Computer Engineer with mid-level spoken and written English, solid experience in IT systems development and a clear evolution into data engineering. I currently work with Python as my main language and build solutions on Azure, SQL Server, Data Factory and Databricks for analytics, governance and data quality.
Experience
Professional journey
Data Engineer - AFP Cuprum
Design, implementation and optimization of data ingestion, transformation and governance solutions in Azure. Working with Azure Data Factory, Databricks, SQL Server and Data Lake, including quality assurance for analytics and regulatory models.
Data Engineer - Kibernum Chile
Design and supervision of data processing for analytical applications using Microsoft Azure Cloud, Python, Databricks, Data Factory and SQL Server, plus maintenance of production data processes.
Software Developer - CAS-CHILE S.A de I.
Software development and automation in a corporate environment, building a strong implementation and internal process support foundation.
Engineering Intern - Banco de Chile
Process automation for credit-risk model tracking using Power BI, SAS and Python.
Stack
Stack organized by work focus
This is not a flat list of technologies. It is grouped by the way I actually use them to build.
Core
Data engineering and automation
Primary foundation for ingestion, transformation, operational modeling and repeatable workflows.
Python
SQL
SQL Server
Azure Data Factory
Databricks
Data Lake
Cloud
Infrastructure and platform
Cloud services used to deploy, integrate and operate data workflows.
Azure Cloud
AWS Cloud
Git
Analytics
Analytics and business support
Tools for reporting, traceability and data support connected to business needs.
Power BI
SAS
Web
Interfaces and product development
Complementary capability for websites, frontends and lightweight digital products.
JavaScript
TypeScript
PHP
HTML
CSS
Capabilities
What I bring to a team
Ingestion and transformation
Maintainable data flows, from capture to analytical consumption.
Quality and control
Standards, validations and support for analytical and regulatory models.
Automation
Repeatable processes focused on productivity, reliability and technical clarity.
Approach
Data engineering with operational judgment.
I look for maintainable pipelines, trustworthy data and structures that actually help analytics, control and decision-making.
Strengths
Analytical thinking, productivity and goal orientation.
My profile combines development and data execution. I stand out for decision-making, analytical thinking, productivity and strong goal orientation.
Education
IPCHILE - Computer Engineering
Computer Engineering degree. Period 2015 - 2019.
Certifications
Continuous learning in data and development.
Level 4 at eClass, Aprende big data: Análisis de datos, Fundamentos del desarrollo web: Full Stack o Front-end and Inglés Conversacional.
Languages
Native Spanish and basic professional English.
Spanish with bilingual or native proficiency. English with enough capability for technical work and prior conversational certification.
Recognition
Second place in Mobile Applications Challenge.
Recognition recorded in WorldSkills in 2018, along with a public recommendation highlighting performance and professionalism.
Public profile
Active professional presence.
Public LinkedIn profile with a custom URL at linkedin.com/in/erickbeltranlopez,
visible activity and a growing technical network.
Recommendation
Visible professional backing.
Public recommendation highlighting performance, team contribution and potential for new professional challenges.
Contact