I build data-driven tools that connect complex operational problems with structured data, automation, dashboards, APIs, and web applications.

I am a Civil Engineer with 6+ years of experience in planning, project controls, schedules, progress tracking, executive reporting, and operational data. I am currently moving my career toward data engineering, analytics engineering, and software development.

My work sits at the intersection of engineering, data, automation, and product thinking.

Portfolio: https://asaygom.com
Languages: Spanish / English

• Data pipelines that transform messy source files into structured, auditable datasets
• SQL and Python workflows for cleaning, validating, and loading operational data
• Power BI dashboards for project controls, executive reporting, and performance tracking
• Web applications and APIs that expose data in usable ways
• Small digital products that combine frontend development, business logic, and deployment

Data platform demo for Chilean masters swimming results.

The project transforms public, semi-structured competition results into a cleaner relational data model, using scraping/download workflows, PDF extraction, Python parsing, intermediate CSVs, PostgreSQL staging/core tables, validations, FastAPI, and a React/TypeScript frontend.

Demo: https://swimstats-chile.vercel.app
Focus: data pipeline, PostgreSQL, data modeling, FastAPI, React, TypeScript, data quality.

Power BI dashboard demo for weekly project controls reporting in engineering/construction projects.

Focused on plan vs actual tracking, variance analysis, SPI/CPI, S-curves, risk visibility, and executive reporting.

Focus: Power BI, DAX, project controls, EVM, executive dashboards.

Analytics demo using Power BI and Microsoft Fabric concepts to track energy, CO2e, cost efficiency, and schedule delays across infrastructure assets.

Includes executive views, sustainability indicators, what-if analysis, and a documented path toward a Fabric-based analytical workflow.

Focus: Power BI, Microsoft Fabric, star schema, DAX, sustainability analytics.

• SQL
• Python
• Pandas
• PostgreSQL
• Power BI
• Power Query
• DAX
• Microsoft Fabric fundamentals

• JavaScript
• TypeScript
• React
• Angular
• FastAPI
• REST APIs
• Git / GitHub

• Primavera P6
• MS Project
• EVM
• SPI / CPI
• S-curves
• Executive reporting

• Turning operational chaos into structured and trustworthy data
• Building reproducible workflows instead of manual reporting patches
• Connecting technical implementation with business context
• Designing data models, dashboards, and applications that people can actually use
• Moving from dashboard-only work toward stronger data engineering, analytics engineering, and software development capabilities

I am focused on roles and projects related to:

• Data Engineering
• Analytics Engineering
• BI Engineering
• Reporting Automation
• Software Development
• Data-driven web applications

• Portfolio: https://asaygom.com
• LinkedIn: https://www.linkedin.com/in/asaygom
• GitHub: https://github.com/asaygom