Hello recruiter!
This page aims to complement my LinkedIn profile.
While there you will find a detailed description of my professional experiences and all the companies I have worked for, here I will provide more details about the technical aspects of my specialties.
Power BI ⭐⭐⭐⭐⭐
I am Microsoft certified at the highest level (Associate) for Power BI. I have extensive experience in the deployment, configuration and maintenance of Power BI environments, acting as Tenant Manager, Capacity Manager and Workspace Manager.
I have successfully implemented Power BI environments from scratch and supported environments with over 500 daily active users, managed in capacities P1/P2.
I am proficient in report development and have extensive knowledge to maximize the use of all the features the tool offers, optimizing the experience and results for users.
SQL ⭐⭐⭐⭐⭐
I am a professional with extensive experience in SQL, specialized in the development, optimization and maintenance of robust databases. I have expertise in creation of efficient structures, such as procedures, views and functions, in addition to advanced skills in optimizing SQL queries for high performance.
I have worked on large scale projects, managing databases with millions of records and ensuring data integrity and reliability. I have solid experience in query tuning, data normalization and modeling, always seeking the efficiency and scalability of implemented solutions.
I also excel in complex integrations with different systems, using SQL as a basis for ETL, data analysis and supporting strategic decision-making.
Data Warehousing ⭐⭐⭐⭐⭐
I am an expert in Data Warehousing with extensive experience in Medallion Architecture, designing and implementing scalable and robust solutions for complex and diverse data environments.
I have expertise in tools and technologies such as SQL Server, Redshift, and Databricks, in addition to advanced skills in ETL/ELT, dimensional modeling and modern architectures of Data Lakehouse architectures.
Additionally, I work to ensure high governance and data quality, using modern frameworks for lineage control and security. My approach focuses on delivering solutions that maximize performance and provide a single source of truth (SSoT) to meet the strategic and operational needs of companies.
I continually seek to explore innovations in Data Engineering to offer architectures that balance flexibility, reliability and high performance in distributed data environments.
Python ⭐⭐⭐
I have solid experience in Python, with a focus on data analysis and process automation. I use libraries like Pandas and NumPy for data manipulation and transformation, in addition to PySpark to handle big data in distributed environments, ensuring efficiency and scalability in analysis.
I have developed automated workflows with tools like Selenium and PyAutoGUI, optimizing repetitive tasks and integrating systems in an agile way. I also have knowledge in data integration, pipeline construction and application of ETL techniques using the Python ecosystem.
I constantly seek to improve my skills to offer robust and scalable solutions in data processing and automation.
AWS ⭐⭐⭐
I have solid experience with data tools on AWS including Amazon S3, AWS Glue, AWS Athena and Redshift, used for data storage, processing and analysis.
I have worked on creating data pipelines, integrating AWS Glue to transform and load data into data warehouses in Redshift. I also worked on configuring buckets in Amazon S3 to store structured and semi-structured data, ensuring organization and security.
Additionally, I use SQL queries in Redshift for data analysis and reporting. I am always looking to improve my skills to offer efficient and reliable solutions in AWS environments.
