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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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eagmarques/README.md

Eduardo Marques

Data Analyst | Analytics Engineer

Python • SQL • BI • BigQuery

I turn data into decisions, efficiency, and measurable business impact.

🚀 About Me

  • 🎯 Target role: Data Analyst / Analytics Engineer
  • 📊 Strong background in SQL, BigQuery, Python, and Power BI
  • 🧠 Engineering mindset focused on data modeling, performance, and scalability
  • 📈 Experience supporting executive and operational decision-making
  • 🌎 Fluent professional English

Proven impact:

  • Built automated pipelines and dashboards for industrial KPIs, reducing manual effort and increasing data reliability
  • Delivered executive-level dashboards used in leadership routines
  • Designed and maintained daily ETLs in BigQuery (TB-scale datasets)
  • Optimized SQL queries, achieving ~50% reduction in processing time and cost

🧰 Tech Stack

Data & Analytics

  • SQL • BigQuery • Power BI • Looker Studio
  • Data Modeling • ETL / ELT • Analytics Engineering

Programming Languages

  • Python • C# • Java • MATLAB

Data Applications & Automation

  • Streamlit • Custom data tools & scripts
  • Workflow automation • Data extraction & transformation

Systems & Engineering Background

  • Embedded Systems • Industrial Automation
  • IoT solutions • RFID UHF systems
  • Hardware–software integration for data capture

Dev & Platform Tools

  • Git • Linux • REST APIs
  • Cloud fundamentals (GCP)
  • Agile methodologies (Scrum / Kanban)

📌 Featured Projects

Selected projects focused on analytics, data engineering, and business impact.

Project Description Tech
Industrial KPIs Analytics Pipeline End-to-end KPIs pipeline (OEE, MTBF, MTTR) powering leadership dashboards SQL, Power BI
BigQuery Analytics (TB-Scale) Daily ETL pipelines and reusable analytical models BigQuery, SQL
SQL Performance & Cost Optimization Query redesign to reduce execution time and cost by ~50% SQL
Data Apps Portfolio Interactive analytics apps for data exploration and reporting Python, Streamlit

➡️ View all repositories: https://github.com/eagmarques?tab=repositories

📊 GitHub Overview

Repos Followers Stars

🎯 What I'm Working On

  • Building a strong Data Analytics & BI portfolio
  • Advanced SQL modeling and BigQuery optimization
  • Python-based analytics tools and data apps
  • End-to-end analytics projects (data → insight → decision)

🤝 Let’s Connect

Pinned Loading

  1. billboard-hot-100-explorer billboard-hot-100-explorer Public

    Interactive Streamlit app to explore Billboard Hot 100 historical charts (1958-2021) with Spotify integration

    Python

  2. minerva-consulta-fipe minerva-consulta-fipe Public

    Production-ready Streamlit app that reproduces the FIPE public query flow using the official Parallelum API. Clean architecture, dependency injection, pytest with 80%+ coverage, Ruff + Black, and C…

    Python

  3. ecommerce-customer-lifecycle-analytics ecommerce-customer-lifecycle-analytics Public

    Product Analytics project analyzing customer retention, churn, cohort behavior and engagement metrics using the E-commerce dataset with SQL, Python and Power BI.

    Python

  4. notebooks-market-analysis-etl notebooks-market-analysis-etl Public

    End-to-end data pipeline that scrapes notebook listings from Mercado Livre, processes the data with Python, stores it in SQLite, and visualizes market insights through an interactive Streamlit dash…

    Python

  5. milenaaires/PlaygroundHub milenaaires/PlaygroundHub Public

    Python 1

  6. powerbi-analise-comercial-varejo powerbi-analise-comercial-varejo Public

    Dashboard comercial de varejo desenvolvido em Power BI com Star Schema, 12 medidas DAX (vendas, margem, crescimento YoY, eficiência promocional), RLS dinâmico por país e análise de promoções.