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rabeloguilherme

Guilherme R

@rabeloguilherme

Data and AI Engineer, Power BI and ETL Pipelines

Brésil
Portugais, Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I build the data systems companies run on. In my full-time role as a data engineer, I run 100+ Airflow pipelines feeding 300+ tables, cut data refresh from 24 hours to 30 minutes and made jobs 70% faster. Here I do the same work for you: - Power BI dashboards your team actually uses - ETL pipelines in Azure Data Factory, Fabric or Databricks - SQL queries written, fixed and optimized - AI chatbots that answer from your own data Certified DP-700, DP-900 and Databricks Spark. Written updates at every step. Message me with your goal.... Plus d’infos

Compétences

r
rabeloguilherme
Guilherme R
hors ligne • 

Voir mes services

Tableaux de bord des données
I will be your power bi developer and build interactive dashboards and reports
ETL de données
I will build etl data pipelines with azure data factory, fabric or databricks

Portfolio

Expérience professionnelle

Grupo_Fornecedora

Grupo Fornecedora

Temps plein • 4 yrs 3 mos

Data Engineer

Sep 2024 - Present • 2 yrs 1 mo

- Build and maintain scalable data pipelines and ETL/ELT processes using PySpark and Azure, cutting production job runtime by 70%. - Designed the dimensional models and Lakehouse (Medallion) architecture for the Data Warehouse and Data Lake, reducing data refresh latency from 24 hours to 30 minutes. - Orchestrate production data flows with Apache Airflow, managing 100+ DAGs that integrate 300+ tables from sources such as REST APIs and transactional systems, with uptime above 95%. - Lead data governance and develop Power BI reports and dashboards, ensuring metric integrity and information quality to support strategic decision-making. - Increased development cycle productivity by 45% by implementing AI agents and LLM tools.

Tech Lead

Jul 2022 - Sep 2024 • 2 yrs 2 mos

- Led a team of 5 using agile methodologies to coordinate project delivery, improving sprint predictability and accelerating feature delivery. - Mapped end-to-end business processes and orchestrated the development of 20+ BPMN applications used daily by 700+ employees, streamlining internal workflows and increasing operational efficiency. - Developed and deployed ~15 Python RPA bots, generating over R$100,000 (~US$20,000) in annual savings by shifting manual work to higher-value tasks.