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Work Experience

My professional journey from data operations to data engineering, building reliable data systems, ETL pipelines, and analytics platforms.

Professional Experience

Data & Systems Engineer

Relay Human Cloud

Remote

Full-time

Design and implement internal data tracking systems, reporting pipelines, and production-ready web applications with focus on backend APIs, data models, and system architecture.

Key Achievements:

  • Designed and implemented internal data tracking systems to support operational and financial workflows
  • Built dashboards and reporting pipelines to visualize program performance, adoption metrics, and financial KPIs
  • Led merchant data integration efforts, ensuring consistency and data integrity across multiple systems
  • Developed RESTful services using Python (Flask) and SQLAlchemy with authentication, authorization, and business logic layers
  • Designed relational database schemas and wrote optimized SQL queries to support scalable application features
  • Integrated third-party services including payment providers, authentication services, and external data APIs
  • Collaborated with stakeholders to gather requirements, troubleshoot data issues, and deliver features iteratively

Technologies Used

PythonFlaskSQLAlchemyPostgreSQLData PipelinesDashboardsRESTful APIs

2024 – Present

Data Engineer

Boxer Property Management

Remote (US Company, LATAM-based)

Full-time

Managed and optimized data pipelines supporting recruiting operations, integrating ATS/CRM tools and ensuring data compliance across client organizations.

Key Achievements:

  • Managed and optimized data pipelines supporting recruiting operations, integrating ATS/CRM tools (Bullhorn, etc.)
  • Assisted with system transitions and ETL process improvements for payroll and benefits workflows
  • Ensured data compliance and governance across client organizations, maintaining high data quality standards
  • Analyzed and visualized recruitment metrics to identify pipeline bottlenecks and improve hiring funnel efficiency
  • Collaborated with data and reporting teams to monitor KPIs and deliver actionable insights to stakeholders

Technologies Used

Data PipelinesATS/CRMETLPower BIData Governance

2023 – 2024

Systems Engineer (HR Data)

Boxer Property Management

Remote (US Company, LATAM-based)

Full-time

Maintained and optimized internal HR databases supporting enterprise compliance and reporting workflows for 500+ employees.

Key Achievements:

  • Maintained and optimized internal HR databases supporting enterprise compliance and reporting workflows
  • Ensured data accuracy, integrity, and consistency across internal platforms serving 500+ employees
  • Collaborated with IT and reporting teams to improve system reliability and data accessibility
  • Analyzed operational data to identify process inefficiencies and support data-driven improvements

Technologies Used

HR SystemsDatabase ManagementData IntegrityReporting

2021 – 2023

Data Operations Analyst

Agero, Inc.

Remote (US Company, LATAM-based)

Full-time

Administered complex payroll systems processing data for 1,000+ employees, prioritizing data integrity and regulatory compliance.

Key Achievements:

  • Administered complex payroll systems processing data for 1,000+ employees, prioritizing data integrity and regulatory compliance
  • Managed sensitive datasets and implemented robust data validation steps, enhancing data quality and security
  • Collaborated with finance to ensure clean data handoffs for accounting and audit
  • Maintained and optimized HR databases through automation and systematic data cleanup initiatives
  • Developed custom Excel reports and dashboards for leadership using advanced functions to surface employee trends

Technologies Used

Payroll SystemsData ValidationETLExcelData Governance

2018 – 2021

Education

B.S. Computer Science Engineering (Cum Laude)

Universidad Tecnológica de Honduras (UTH)

2018 - 2022

Focused on software engineering, algorithms, and data structures.

Achievements:

  • Completed comprehensive coursework in computer science fundamentals
  • Developed strong foundation in software engineering principles
  • Gained expertise in system design and development methodologies

Computer Science

Universidad Privada de San Pedro Sula (USAP)

2017 - 2019

Early foundation in computer science principles and programming fundamentals.

Achievements:

  • Established core understanding of computer science concepts
  • Developed programming skills and problem-solving abilities
  • Prepared for advanced studies in software engineering

Certifications

🏆

Finance Certification

Relay Human Cloud

2024

Completed certification covering macroeconomic indicators including GDP, inflation, and fiscal policy.

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Technical Stack

Self-Taught & Professional Experience

2018 - Present

Languages: Python, SQL, Bash, TypeScript. Data & ETL: Pandas, Spark, dbt, Airflow, data modeling, reconciliation. Cloud: AWS (S3, Glue, Athena, Redshift, Kinesis), Terraform, Docker. Databases: PostgreSQL, SQLAlchemy, Redshift. BI: Power BI, Tableau. Backend: Flask, FastAPI, RESTful APIs.

Skills Evolution

2024 - Present

Data & Systems Engineering

PythonFlaskAWS

Building data tracking systems, reporting pipelines, dashboards, and production-ready backend APIs

2021 - 2024

Data Engineering & Systems

Data PipelinesETLPower BI

Optimizing data pipelines, ensuring data integrity, building dashboards and analytics for stakeholders

2018 - 2021

Data Operations

Database ManagementData ValidationETL

Administering payroll systems, maintaining HR databases, implementing data validation and reporting

Ready to Work Together?

With 6+ years of experience building data systems and ETL pipelines, I'm ready to help bring your data initiatives to life.