Gisele G.

Data Engineer

Data Engineer
1/1/2023 - Present

Engaged in requirements gathering and business rules development alongside the Sales Intelligence team, ensuring precise technical specifications were documented in Confluence and activities were meticulously controlled using DevOps. Demonstrated backend expertise by structuring data ingestion processes with a layered model to centralize data from FTP and SharePoint sources into the Data Lake. Focused on data quality, transformation, dataset creation, and cube processing to achieve robust data management solutions.

Utilized Data Factory to develop pipelines, and Databricks for table creation and data modeling, leveraging SQL and Python languages. Managed data quality using SQL Server and oversaw cube management and processing with SAAS, exhibiting comprehensive technical proficiency across these platforms and tools.

Data Engineer
10/1/2020 - 1/1/2024

Developed proficiency in Test Data Management (TDM) by building and optimizing pipelines using the TDM data model, which incorporated the generation of data files for testing, data subsetting, data masking, creation of rebounders for emission areas and appearance, and generation of synthetic data. Conducted detailed business understanding and requirements gathering to effectively support the COE team's data mass deliveries. Demonstrated quantitative and qualitative analysis during these processes. Managed and administered the Self Service Portal that centralized mass data creation jobs for various squads. Provided technical demonstrations of the entire TDM process during client meetings together with the commercial team. Utilized Oracle and SQL Server databases, managed file directories, and established connections to APIs via Postman. Leveraged tools such as Talend and Java for data integration, ingestion, and transformation.

Business Intelligence Consultant
9/1/2019 - 4/1/2020

Assigned to a client for the duration of the contract, performed tasks focused on maintenance and creation of ETL processes using MS SSIS and Azure Data Factory tools. Worked with data sources from Dynamics 365, SQL Server, and file integrations, channeling them into an Azure Data Warehouse.

Business Intelligence Analyst
2/1/2019 - 9/1/2019

Developed expertise in business rules survey for trade marketing, including data extraction, modeling, and loading using MySQL and SSMS databases. Proficiently maintained and created ETL processes utilizing SSIS and extracted productivity and sales reports. Demonstrated capability in KPI analysis and dashboard development leveraging MsPowerBI. Delivered presentations effectively to both external and internal stakeholders.

Business Intelligence Assistant
1/1/2018 - 2/1/2019

Conducted comprehensive surveys of business rules and performed extraction, modeling, and loading of data utilizing the ETL framework. Maintained ETL processes using SQL Server Integration Services (SSIS) and extracted productivity reports from diverse data sources including Oracle, SQL Server Management Studio (SSMS), MySQL, file systems, and PostgreSQL. Developed dashboards and reports using Microsoft Power BI and SQL Server Reporting Services (SSRS).

IT Support Technician
7/1/2016 - 1/1/2018

Delivered user support with a focus on system functionality and efficiency. Developed and extracted reports utilizing Oracle and SQLServer databases, showcasing strong skills in handling complex data queries. Monitored load processing and BI routines to ensure optimal system performance. Conducted system approval and participated in screening processes for GMUD (General Managerial User Decisions). Acted as an intermediary for the operations involving continuous improvement teams, development, and infrastructure, facilitating streamlined processes and enhanced operational efficiency.

Database at Impacta Technology
2019 - 2021

Information Technology at Anhanguera Educacional
2015 - 2017

Big Data Fundamentals at Data Science Academy
1/1/2024

SQL 2016 - Business Intelligence at Impacta Tecnologia
4/1/2018

Big Data Science - Machine Learning and Data Mining at FIAP
9/1/2017