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Alexandre P.
Data Analyst

Github
Oracle Database
Python
Postgresql
Ibm Db2
Bio

With more than 11 years of experience as a Data Analyst and an MBA in Data Science and Analytics, expertise includes comprehensive knowledge in software development, data engineering, and data visualization for organizational goal achievement and performance optimization. Proficiency in multiple tools and platforms such as Python, SQL, Pandas, Numpy, and Azure has facilitated the collection, processing, analysis, and presentation of data effectively.

In the most recent role, responsibilities included managing and addressing issues related to data quality, reliability, transformation, extraction, loading, and availability. Additionally, contributions involved supporting the development and implementation of data science and machine learning projects, utilizing RStudio. Known for being self-motivated, adaptable, and analytically inclined, there is a continuous pursuit of learning new technologies and solving complex challenges. Seeking an opportunity to apply this expertise and passion for data and cloud within a dynamic and innovative environment.

  • Data Analytics/Data Engineer/ETL Developer
    10/1/2020 - Present

    Extracted, cleaned, transformed, and analyzed data from over 7000 servers to develop a dashboard with Power BI for strategic decision-making purposes. Built and maintained Power BI dashboards focused on swap and disk overflow analysis from Brazilian government servers, ensuring the identification and resolution of root causes. Utilized Python, pandas, and Numpy for data manipulation within VSCode as the integrated development environment and used DBeaver as the database management system. Organized and integrated data from various sources to deliver actionable insights to internal users through ETL scripts written in Python. Enabled data delivery via API and Power BI as per demand. Orchestrated Python scripts with Apache Airflow to automate and schedule data workflows, improving efficiency and reliability. Designed and implemented Directed Acyclic Graphs (DAGs) to manage task dependencies and streamline data processing pipelines. Collaborated with cross-functional teams to translate business requirements into effective Airflow workflows. Extensive experience in building and deploying microservices, and proficient in using Git for version control.

  • Manager Incident
    10/1/2012 - 10/1/2019

    Monitored and managed critical service incidents adhering to ITIL best practices. Created and organized War rooms as necessary. Established and managed team goals and objectives while implementing effective performance management practices. Designed a comprehensive training manual documenting step-by-step incident processes, best practices, and rules of engagement, to be used during onboarding and for training existing analysts.

  • Computer Science at UniCEUB - Brasília University Center
    2002 - 2008

  • Data Science and Data Analytics at University of São Paulo
    2020 - 2022

  • Microsoft Certified: Azure Fundamentals at Microsoft
    4/1/2022

  • Python Pandas: Handling and Analyzing Data at Alura
    1/1/2021

  • Introduction to Data Science 2.0 at Data Science Academy
    11/1/2020

  • Introduction to AWS Machine Learning Services at Amazon Web Services (AWS)
    11/1/2020

  • AWS Cloud Practitioner Essentials (Second Edition) (Portuguese): Introduction to AWS Cloud at Amazon Web Services (AWS)
    11/1/2020

  • Machine Learning Terminology and Process at Amazon Web Services (AWS)
    11/1/2020

  • Confronting Racism, with Robin DiAngelo at LinkedIn
    11/1/2020

  • Scrum: The Basics at LinkedIn
    11/1/2020

  • Sun Certified Java Programmer 1.5 at Sun Microsystem
    11/1/2009

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