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Skills

  • Analytics
  • Data Analysis
  • Data Warehouse
  • Engineering
  • MySQL
  • PostgreSQL
  • Python
  • SQL

Services

  • Data Engineer

    $5/hr Starting at $25 Ongoing

    Dedicated Resource

    Professional with 4 years of experience in Data Engineering and 2 years as a data analyst specialized in implementing security policies and regulatory compliance. Uses tools such as Azure, AWS, Databricks...

    AnalyticsData AnalysisData WarehouseEngineeringMySQL

About

Professional Experience

Responsible for the data infrastructure of the management sector, performing:
Development of projects aimed at organizing Big Data to enhance managerial decision-making, implementing data security policies, and regulatory compliance using advanced data governance techniques.
Development and maintenance of scalable data infrastructure and identification of specific faults in the area, using tools like Excel, Python, MySQL, SQL, and Power BI.
Project tracking, implementing new tools to improve management and ensuring compliance with legal and regulatory requirements.
Collaboration with data scientists and analysts to provide clean, analysis-ready data.
Optimization of queries and ETL processes to improve system performance and efficiency.
Key Projects/Results:
Developed and managed a crucial six-month project for large data volume analysis using Excel, Python, MySQL, SQL, and Power BI. Identified specific faults and implemented new tools to improve management and ensure legal compliance. Based on the analyses, suggested focusing on hospital services, resulting in an annual growth of over 68%.
Technical Skills:
Excel, Python, MySQL, SQL, Power BI, ETL, Azure, Databricks, Airflow and Docker.

Utilized data analysis to identify and engage renowned brands, increasing the exclusivity of events.
Employed predictive and descriptive analysis techniques to enhance sponsorship engagement.
Used data insights to plan and execute events that met the expectations of an elite audience, ensuring personalized experiences.
Conducted financial modeling in Excel and large-scale data processing using Databricks.
Organized charity auctions and integrated unique experiences, optimizing participation and results using data, and monitoring campaigns.

Experienced in AWS projects, working as a Cloud Specialist. Migrated and automated the creation of 100 users, managing AWS IAM resources, and implementing multi-factor authentication (MFA). Automated the assignment of policies and permissions based on the principle of least privilege, ensuring security and cost optimization. Technical Skills:
Python, SQL, Excel, Databricks, airflow, Docker, Microsoft Azure, Pyspark, Apache Spark.

Technical Skills

Programming Languages: Python, SQL, Pyspark
Data Analysis Tools: Databricks, Excel, Power BI
Databases: MySQL, SQL Server, PostgreSQL, NoSQL, MongoDB
Frameworks: Apache Hadoop, Apache Spark, Apache Kafka
Cloud Infrastructure: AWS, Microsoft Azure
DevOps: Docker, Kubernetes, CI/CD, Airflow
Knowledge in Data Security
Knowledge in the entire data infrastructure routine: automated tests, data structure, pipeline, ETL, ELT, Workflows, medallion architecture, star, snowflake, Big Data, Big Query
Experience in Agile Methodology
Data Warehouse

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