Max Mena

Data Engineer

I build scalable, cloud-based data pipelines for the modern enterprise.

I'm a developer passionate about building robust, scalable data infrastructure that powers business decisions. My work lies at the intersection of data engineering and cloud architecture, creating pipelines that not only process data efficiently but are built for reliability and scale.

Currently, I'm a Data Engineer at Hakkoda by IBM, specializing in Snowflake platform engineering, database integration, and AI/analytics enablement. I contribute to building data solutions that handle unstructured data and enable advanced analytics capabilities.

In the past, I've had the opportunity to work across a variety of settings — from financial technology startups to large semiconductor corporations. At Snap Finance, I led the migration of dbt models to EKS and built automated data quality monitors that reduced incidents by 30%.

When I'm not optimizing queries or designing data models, you'll find me pursuing my Master's in Big Data & Business Intelligence, exploring new cloud technologies, or enjoying the beautiful landscapes of Costa Rica.

EXPERIENCE

May 2026 — Present

Data Engineer · Hakkoda by IBM

Snowflake platform engineering, database integration, unstructured data handling, and AI/analytics enablement for enterprise clients.

SnowflakePythonSQLdbtAWS
March 2025 — May 2026

Analyst Engineer · Snap Finance

Led dbt model migration to EKS, built automated data quality monitors, and reduced data incidents by 30% through proactive monitoring solutions.

dbtEKSTrinoPythonAirflow
July 2024 — January 2025

Data Engineer · Intel

Built AI demo catalog database and Power BI dashboards that reduced search time by 30% for internal teams seeking AI demonstration materials.

Power BISQL ServerPythonAzure

EDUCATION

Ongoing

Master in Big Data & Business Intelligence

European Business School of Barcelona · Online

Graduated

Bach. Computer Science

University Hispanoamericana · Heredia, Costa Rica

TECHNICAL STACK

Languages

Python (Pandas, PySpark), SQL, JavaScript

Data Tools

dbt, Trino, Star Schema

Orchestration

Apache Airflow, GitHub Actions

Cloud & DevOps

AWS (S3, EC2, EKS), Azure, Docker, Kubernetes

Databases

SQL Server, PostgreSQL, MySQL, Oracle, Snowflake