About

Let me introduce myself.

I’m a Data Platform Engineer focused on building and evolving cloud-native data platforms that enable reliable, scalable, and analytics-ready data.

My work blends engineering and architecture: designing ingestion frameworks, defining governance and metadata standards, operating AWS Lakehouse components, and automating infrastructure to support a modern data ecosystem.

I’m passionate about creating platforms that make analytics faster and easier — systems that emphasize clarity, lineage, data quality, and long-term scalability.

Freelance Services

HappyStep Labs

HappyStep Labs is an independent data engineering studio specializing in modern data platforms. I partner with startups and small teams to build clean, automated, and future-proof pipelines using AWS, Python, and dbt. Every project is delivered with clarity, reliability, and a step-by-step approach.

Services

Data Platform setup
ETL/ELT development
Lakehouse architecture (AWS)
dbt / Airflow pipelines
Freelance packages (optional)

Portfolio

Codisa

Built a Python ETL script on EC2 to extract data from Oracle and export it as CSV.
Automated S3 ingestion and schema updates using AWS Glue Crawlers and Athena.
Delivered the ingestion layer used by the team to build views and Power BI dashboards.

Fellow Bridge

Designed and implemented the data foundations for Fellow Bridge, defining core data models and ingestion standards.
Built initial Python-based ingestion pipelines to collect, validate, and structure operational data.
Established a scalable analytics-ready schema to support early reporting and future product features.

Contact

I'd Love To Hear From You.

Email Me At

luis.bobadilla.dias@gmail.com

Where to find me

Asunción, Paraguay

GitHub

github.com/happystep

linkedin.com/in/luis-bobadilla-dias

Hello, World.

I'm Luis Bobadilla