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Laís Meuchi

Data Engineer

Transforming raw data into actionable insights through innovative engineering solutions

About Me

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5+ years in data engineering and analytics
Expert in cloud platforms (AWS, GCP, Azure)
Specialized in big data and real-time processing
Laís Meuchi - Data Engineer

Skills

Programming

Python
SQL
Spark

Cloud & Tools

Azure
Azure Storage
Delta Lake

Data Technologies

Databricks
Azure Data Factory
Microsoft Fabric
Power BI

Certifications

Databricks Data Engineer

Associate Level

Verified

Databricks Spark Developer

Associate Level

Verified

Microsoft Fabric Data Engineer

Associate Level

Verified

Microsoft Azure Data Engineer

Associate Level

Verified

Microsoft Azure Data Fundamentals

Entry Level

Verified

Microsoft Azure Fundamentals

Entry Level

Verified

GitHub Foundations

Entry Level

Verified

Professional Scrum Master I

Entry Level

Verified

Projects

Processing Federal Revenue's CNPJ Database

Built data engineering solution processing the CNPJ's database of companies in Brazil made available by Federal Revenue's using Databricks, Azure, Delta Lake and Power BI.

Databricks Delta Lake Azure Data Factory Power BI
View on GitHub

Data Warehouse Modernization

In this project, the idea was to use a data source that in some cases is the only way to ingest data that is not in any system or storage source: sending data by email.

Azure Logic Apps Databricks Delta Lake Azure Storage
View on GitHub

Secret Santa

Project for a Secret Santa draw and sending the results via WhatsApp.

Python Pandas WhatsApp
View on GitHub

CTRL + F: textual search

This project contains a script that was developed to search for pre-defined words in all columns of a spreadsheet's text type.

Python Pandas tkinter
View on GitHub

Gmail Reader

Project that implements a Python function, using Azure Functions, that reads emails with a specific subject, downloads the attachment and saves it to an Azure Data Lake Storage account.

Azure Logic Apps Azure Functions Python
View on GitHub

Contact

Let's connect and discuss how we can work together on your next data project!