Data Engineer · Analytics Engineer · Data Scientist
Full-Stack Developer (for fun)
from typing import Tuple, Dict, List
class Attributes:
"""
LlucMH — Data Engineer · Analytics Engineer · Data Scientist
Full-Stack Developer (hobby)
"""
@staticmethod
def contact() -> Tuple[str, str]:
linkedin = "https://www.linkedin.com/in/lluc-mata"
tableau = "https://public.tableau.com/app/profile/lluc1136"
github = "https://github.com/LlucMH"
return linkedin, tableau, github
@staticmethod
def life() -> Tuple[List[str], List[str]]:
languages = ["Spanish", "English"]
nationalities = ["Spanish"]
return languages, nationalities
@staticmethod
def education() -> dict:
degrees = {
"bachelor": [
"BSc in Mathematics"
],
"masters": [
"MSc in Computational and Mathematical Engineering",
"MBA — Master in Business Administration",
"Master's Degree in Teaching (Pedagogy / Education)",
"Master in Big Data & Business Intelligence"
],
"postgraduate": [
"Postgraduate Degree in Marketing Analytics"
],
"vocational_training": [
"Ironhack — Full-Stack Software Development Bootcamp"
],
"other_certifications": [
"Advanced Course in Artificial Intelligence"
]
}
return degrees
extra_courses = [
"Machine Learning",
"Deep Learning (Keras)",
"Simulation (SimPy)",
"Probabilistic Modeling",
"Data Visualization"
]
return degrees, extra_courses
@staticmethod
def coding() -> Tuple[Dict, Dict, Dict, Dict, List[str]]:
data_stack = {
"languages" : ["Python", "SQL"],
"processing" : ["Pandas", "NumPy"],
"visualization" : ["Matplotlib", "Seaborn"],
"machine_learning" : ["Scikit-Learn"],
"analytics" : ["Tableau", "Astrato", "Metabase"],
"pipelines" : ["Airflow", "dbt"],
"cloud" : ["GCP", "AWS"],
"warehousing" : ["BigQuery", "Redshift", "Databricks"],
"data_modeling" : ["Dimensional", "Star Schema", "Medallion Architecture"],
"governance" : ["SQLFluff", "dbt Tests"],
"databases" : ["PostgreSQL"],
"devops" : ["Docker", "GitHub"]
}
fullstack = {
"frontend": ["HTML", "CSS", "JavaScript", "React"],
"backend" : ["Java", "Spring Boot", "REST APIs"],
"cloud" : ["Supabase"],
"tools" : ["Figma", "Vite", "npm", "Postman", "Netlify", "Vercel"]
}
advanced_topics = {
"statistics" : ["Regression", "Clustering", "Hypothesis Testing", "A/B Testing"],
"simulation" : ["SimPy"],
"deep_learning": ["Keras"]
}
specialities = [
"Data Engineering",
"Analytics Engineering",
"Data Science",
"ETL/ELT Pipelines",
"Cloud Data Architectures",
"Dashboarding & BI",
"ML for Business Use Cases",
"Experimental Design",
"Optimization",
"Early Warning Systems"
]
environment = [
"VSCode", "PyCharm",
"GitHub", "Docker",
"GCP", "AWS"
]
return data_stack, fullstack, advanced_topics, specialities, environment
- 🧩 Core: Data Engineer · Analytics Engineering · Data Science
- 🛠️ Pipelines: Airflow · dbt · Python ETL
- 🗄️ Warehousing: BigQuery · Redshift · Databricks
- 📊 Analytics: Tableau · Astrato · Metabase
- ☁️ Cloud: GCP · AWS
- 🧮 ML: Scikit-Learn · A/B Testing · Forecasting
- 🧱 Modeling: Dimensional · Medallion · Star Schema · Kimball
- 💻 Full-Stack (hobby): Java · Spring Boot · React · HTML · CSS · JS