Hi, I’m Tiago Adria Nunes - an R/Shiny Developer with 10+ years in IT, specializing in data-driven web applications, interactive dashboards, and process automation. I’ve led development teams across banking, healthcare, education, and insurance, and I bring the same analytical rigour to both technical and business problems.

Projects

IMDb Top 5000

R Shiny ShinyApps.io

Interactive dashboard showcasing the top 5000 movies from IMDb, sourced live from IMDb datasets. Filter by title, director, genre, year, rank, rating, and vote count.

  • Filter by title, director, genre, year, rank, rating, and votes
  • TV Shows edition: IMDb Top 5000 TV Shows - same filtering approach applied to series and TV content

GitHub · Live App

IMDb Top 5000 app demo

Click to launch the app

Spotify Search App

R Shiny Rhino Spotify API

Search for artists, explore their profiles, top tracks, and related artists via the Spotify API. Includes genre-based discovery and network visualization of artist relationships.

  • Artist profiles with top tracks and related-artist network graph
  • Genre-based discovery with popularity and follower metrics
  • API caching via memoise; built with the enterprise-grade Rhino framework

GitHub · Live App

Spotify Search App demo

Click to launch the app

Databricks Ingestion Lakehouse

Python PySpark Databricks Delta Lake Docker

End-to-end data ingestion pipeline using NYC TLC Yellow Taxi data, organised into a Bronze → Silver → Gold medallion architecture. Runs both locally via Docker (PySpark + Delta Lake) and on Databricks (Unity Catalog + SQL Warehouse).

  • Bronze: raw Parquet ingestion into Delta tables with metadata
  • Silver: cleaning, filtering, and enrichment with derived columns
  • Gold: analytics-ready aggregations for trip volume, revenue, zone performance, and time patterns
  • Live analytics report published via GitHub Pages

GitHub · Live Report

Databricks Ingestion Lakehouse pipeline report

Click to view the live report

Airflow DBT DuckDB Pipeline

Python Airflow DBT DuckDB

A modern ELT pipeline orchestrating DBT transformations with Apache Airflow and DuckDB, including automated data quality tests and lineage documentation.

  • Airflow for scheduling and orchestration
  • DBT for SQL-based transformations with built-in testing
  • DuckDB as a lightweight embedded analytical database

GitHub

Skills

Languages & Frameworks

R Shiny Quarto Tidyverse ggplot2 SparkR Python PySpark Pandas NumPy Matplotlib SQL

Data & Analytics

Data Modeling ELT/ETL DBT DuckDB Delta Lake Power BI Tableau

Process & Delivery

Business Analysis BPMN UML Scrum Kanban Jira Confluence

Education

  • 2023–2024 - Postgraduate in Software Engineering - Descomplica
  • 2006–2009 - B.A. in Business Administration - Anhanguera

Certifications

Contact

tiagoadrianunes@gmail.com · LinkedIn · GitHub