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_, Canvas Studio, markEDdown, and PixelPy developed as personal products with concrete scope and use.
Own projects
Products that turn complex ideas into simple experiences.
ORBYTE_ — connect decisions, actions, and context
ORBYTE_ brings projects, actions, habits, time, and finances into a local-first Personal OS. A deterministic kernel calculates priorities and risks, while Ollama can add local conversation without controlling the data.
- Turn context, capacity, and signals into a daily plan and decision radar.
- Review editable, atomic, and reversible proposals before data changes.
- Connect finances, calendar, and inventory without an account or cloud; Ollama stays optional.
markEDdown — write, organize, and publish without distractions
markEDdown provides a private space to move from a rough draft to a finished document. Writing stays at the center while organization, review, and export tools appear only when they are useful.
- Write with CodeMirror, quick commands, and live preview.
- Organize templates, versions, favorites, trash, images, and sections.
- Present and export HTML, Markdown, and assets without sending content to a server.
PixelPy — write and run Python directly on Android
PixelPy turns a phone into a complete Python workspace with scripts, automations, interactive result viewers, execution history, and a local notebook per project.
- Edit multiple files and resources inside the same project.
- Open Markdown, JSON, CSV, images, ZIP, and Excel in integrated viewers.
- Combine automations, typed parameters, history, and Python/Markdown cells.
Canvas Studio — a local-first raster editor for Android tablets
Canvas Studio turns an Android tablet with an S Pen into a local-first studio with large canvases, Brush Studio 4.0, v7 documents, and a certified tablet-first experience.
- Draw with pressure curves, tilt, speed, Dual Brush, and wet-media controls.
- Organize layers, groups, masks, transformations, and guides in a touch-first interface.
- Keep projects local and export PNG or OpenRaster without relying on a server.
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.
Cloud
Infrastructure and platform
Cloud services used to deploy, integrate and operate data workflows.
Analytics
Analytics and business support
Tools for reporting, traceability and data support connected to business needs.
Web
Interfaces and product development
Complementary capability for websites, frontends and lightweight digital products.
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