I turn data into
decisions

Data & Analytics Engineer who builds pipelines, data models, visualizations, and insights that matter — and occasionally analyzes the emotional arcs of Studio Ghibli films.

Explore Spiriteddata About Me

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About Me

I'm Eduardo Franklin — a Data & Analytics Engineer with 10+ years building systems that turn messy data into clear decisions.

My decade at MercadoLibre taught me that great data engineering isn't just about pipelines — it's about understanding the business problem first, then building the simplest solution that scales.

Currently, after working with seller invoices, logistics, and loyalty teams across multiple projects, I'm helping the Tech Corporate business unit build a strong data foundation from a legacy sandbox after years of rapid growth in capex and opex.

When I'm not working, I'm practicing calisthenics, climbing, hiking, biking, or eating sweet treats with my elder dog.

2008

First Tech Job

160

Tables in 2025

3

Ligaments in 2025

My Stack

Engineering Core

SQL 10 yr

PYTHON 6 yr

PANDAS 5 yr

DATA MODELING 5 yr

Cloud & Big Data

GCP / BIGQUERY 7 yr

AWS / REDSHIFT 2 yr

KAFKA / SPARK 1 yr

Modern Data Stack

AIRFLOW 5 yr

DBT 2 yr

FASTAPI 3 yr

Visualization

TABLEAU 8 yr

LOOKER 5 yr

STREAMLIT 2 yr

AI-Assisted Development

CURSOR / CLAUDE CODE 1 yr

PROMPT ENGINEERING 2 yr

SPEC-DRIVEN DEV 1 yr

Exploring

actively learning

LANGCHAIN learning

VECTOR DB learning

DATABRICKS learning

SNOWFLAKE learning

TERRAFORM learning

Spiriteddata

The emotions of Studio Ghibli, decoded

A data engineering passion project that analyzes the emotional arcs of Studio Ghibli films using NLP and machine learning.

From My Neighbor Totoro's gentle wonder to Princess Mononoke's fierce beauty — every film tells an emotional story that data can reveal.

Python HuggingFace NLP Streamlit BigQuery Multilingual

Technical Highlights

→ End-to-end data pipeline — ingestion, transformation, and analysis
→ Sentiment analysis with HuggingFace transformers
→ Multilingual support — analyzing dialogue across English, French, and Arabic
→ Interactive visualizations — explore emotional patterns film by film