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Guilhermo – Microsoft Azure, Python, AWS, experts in Lemon.io

Guilhermo

From Brazil

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Data EngineerSenior
Hire developer
9 years of commercial experience
Analytics
Architecture
Data analytics
Platforms
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Guilhermo – Microsoft Azure, Python, AWS

Guilhermo is an experienced Senior Data Engineer with around 8 years of hands-on experience in the field. He possesses extensive knowledge of SQL, Python, Azure, and AWS, which makes him an expert in his field. His understanding of debugging concepts and ability to make sound architectural choices enables him to create robust data solutions. He has gained valuable experience with startups and is familiar with the dynamic nature of the industry. Guilhermo's proactive approach and evident enthusiasm for his work make him an excellent addition to any team.

Main technologies
Microsoft Azure
6 years
Python
6 years
AWS
6 years
Databricks
6 years
SQL
8 years
Additional skills
GCP
DevOps
Apache Hadoop
Microsoft Power BI
BigQuery
ETL
Apache
PySpark
Redshift
Big Data
Business intelligence
Java
Machine learning
Ready to start
ASAP
Direct hire
Not available

Experience Highlights

Data Architect
Mar 2023 - Mar 20241 year
Project Overview

It is a data platform that brings innovation to digital transformation and empowers clients with cutting-edge software solutions to enhance their productivity. With expertise in Digital Finance, Enterprise AI & Data Solutions, and Platform Modernisation, GFT excels in technological innovation, partner collaboration, and industry knowledge.

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Responsibilities:
  • Designed and implemented scalable end-to-end data architectures on AWS, Azure, and GCP;
  • Leveraged cloud-native services for storage, processing, and analytics.
  • Created data models for structured and unstructured data;
  • Ensured data integrity, performance, and scalability in diverse architectural scenarios;
  • Integrated data from various sources to create a unified and accessible data ecosystem;
  • Managed and optimized databases for performance and reliability;
  • Led and mentored data teams to deliver high-quality solutions;
  • Collaborated with cross-functional teams to align data architecture with business goals;
  • Implemented robust data governance frameworks to ensure data quality and compliance;
  • Established and enforced data security measures;
  • Utilized cloud services such as Amazon Redshift, Azure Synapse Analytics, and Google BigQuery for high-performance analytics.
Project Tech stack:
GCP
AWS
Microsoft Azure
BigQuery
Redshift
Senior Data Engineer
Aug 2020 - Feb 20232 years 6 months
Project Overview

It is a data platform that brings innovation to digital transformation and empowers clients with cutting-edge software solutions to enhance their productivity. With expertise in Digital Finance, Enterprise AI & Data Solutions, and Platform Modernisation, GFT excels in technological innovation, partner collaboration, and industry knowledge.

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Responsibilities:
  • Implemented Python scripts for automation, monitoring, and various tasks;
  • Pioneered innovative Data & Analytics solutions, enhancing decision-making processes;
  • Executed complex Data stream processes using CDC (AWS DMS) for real-time data accuracy;
  • Orchestrated precise configurations of DMS Endpoints and Tasks to optimize workflow efficiency;
  • Utilized AWS Glue for intricate Data partitioning, enhancing data organization;
  • Developed advanced Crawlers and Triggers in AWS Glue for automated data discovery;
  • Led integration of AWS Athena, enabling the Data visualization team to execute swift, interactive queries;
  • Drove significant improvements in data-driven decision-making, operational efficiency, and overall business performance.
Project Tech stack:
AWS
Python
Microsoft Azure
GCP
Snowflake
Senior Data Engineer & Tech Lead
Feb 2019 - Sep 20201 year 7 months
Project Overview

It is one of the largest beer producers in the world and the biggest brewer in Latin America in terms of sales volumes.

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Responsibilities:
  • Led the technical direction of the Data Engineer team, defining architectures and delivering technical solutions for projects;
  • Managed the aggregation, fusion, and accessibility of data from diverse sources, including Excel, SAP, 7L, Promax, etc;
  • Facilitated data integration, serving as a bridge between IT, BI, and Analytics units;
  • Designed information and data frameworks encompassing structured and unstructured data;
  • Introduced cutting-edge technologies to enhance operational efficiency.
  • Was responsible for DataLake architecture and ETL/ELT procedures;
  • Engineered API integrations and web crawlers to generate actionable business insights;
  • Handled extraction and processing of unstructured data, with a focus on optimizing queries;
  • Leveraged extraction tools such as Talend and Data Factory;
  • Conducted testing of programs and databases to rectify issues and implement necessary adjustments;
  • Utilized a range of technologies and tools, including Python (particularly pandas, scrappy, and pySpark), Azure environment (Data Factory, Data Bricks, DevOps), and RPA's.
Project Tech stack:
AWS
Apache
PySpark
Python
Java
Databricks
ETL
DevOps
Tech lead for Analytics team
Aug 2019 - Aug 20201 year
Project Overview

It is one of the largest beer producers in the world and the biggest brewer in Latin America in terms of sales volumes.

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Responsibilities:
  • Developed Data & Analytics solutions for clients;
  • Explored Data & AI applications for fast value discovery, identifying relevant use cases and business insights;
  • Collaborated with the account team to cultivate new opportunities and manage the service pipeline;
  • Managed budgets and regional KPIs, providing project pipeline forecasting and analysis;
  • Engaged as the primary technical liaison with local partners, including Accenture and Microsoft;
  • Conducted research and development on Big Data architecture best practices and data modeling techniques;
  • Oversaw the development of Business Intelligence projects and reports using Power BI;
  • Led the architecture and deployment of big data cloud platforms within the Azure ecosystem.
Project Tech stack:
Microsoft Azure
Microsoft Power BI
Big Data
Business intelligence

Education

2019
Computer Engineering
Bachelor
2022
IT
Master of Business Adminstration
2012
IT
Technical School

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