Marco Aurelio Gonzales

Analytics Engineer Specialist @ Equifax I BoaVista

About

Data Engineer with extensive experience in designing, building, and optimizing data pipelines, focusing on scalable, efficient, and integrated solutions. I started working with data in 2006, which provided me with a solid foundation to streamline data flows and develop high-performance, reliable ETL processes. I specialize in Python, PySpark, SQL, and Apache Spark, with strong capabilities in cloud platforms such as GCP, AWS, and Azure, always ensuring the integrity, security, and availability of critical data for analysis and decision-making. With robust expertise in data modeling and platform administration, including SAS and Databricks, I follow best practices in data governance, security, and compliance. I’m responsible for building Data Lakes, Data Warehouses, and Data Marts, implementing highly scalable and monitorable data pipelines. My experience allows me to transform large volumes of data into valuable insights, helping business teams make data-driven decisions with confidence. Throughout my career, I’ve worked closely with analytics, data architecture, and business teams to understand specific data needs and deliver precise, efficient solutions. I’ve also implemented strong Data Governance strategies, ensuring data quality and security across the organization. Additionally, I bring experience in Microsoft Power BI, creating interactive dashboards that improve data visualization for teams and stakeholders. My toolkit includes tools like Airflow, DBT, and AWS Glue, which help me optimize processes and enhance the performance of data queries and warehouses. These tools support workflow automation, data consistency, and efficient data integration and transformation. I also leverage Terraform to automate infrastructure provisioning and build scalable environments for large-scale data analysis. With a results-driven approach, I lead Data Engineering teams, always striving to understand and implement business rules in data models to optimize queries, reports, and analyses—ensuring continuous improvement of data processes and organizational performance. My journey is marked by leading teams in scalable solutions, agile practices, and mentoring, promoting the adoption of best practices in the development and maintenance of high-performance data pipelines.

Country

Brazil

City

São Paulo

Industry

Information Technology & Services

Skill

Tecnologia da informação, Liderança de equipe, Estratégia de TI, Automação de processos de negócios, Pipeline de dados, Automação de processos, Ciência de dados, Analítica preditiva, Web Analytics, Análise de dados técnicos, Análise de dados de riscos, Ambiente ágil, Gestão ágil de projetos, Arquitetura de dados, Gestão de dados-mestres, Indicadores-chave de desempenho, Implementação de KPI, Relatórios de indicadores-chave de desempenho (KPI), Painéis de KPI, Métricas de dashboard

Experience

Analytics Engineer Specialist

Equifax I BoaVista

2025-6 - Present · 1 yr 4 mos

I work as an Analytics Engineer Specialist at one of the largest Credit Bureau companies, operating in a large-scale, high-volume, and business-critical Data Warehouse environment. I serve as a technical specialist within a team responsible for ingesting, processing, and transforming data from multiple sources, ensuring data quality, consistency, governance, and traceability, and making this data available to analytics, data modeling, and data science teams. My responsibilities include: ● Designing, developing, and maintaining analytics pipelines on the Google Cloud Platform (GCP). ● Leveraging BigQuery for large-scale data analysis, transformation, and data availability. ● Building ETL processes and analytics layers using DBT, following best practices such as version control and testing. ● Implementing CI/CD pipelines with GitLab to ensure automation, code quality, and reliable deployments. ● Orchestrating data workflows and dependencies using Apache Airflow. ● Utilizing Google Cloud Storage as a storage layer. ● Collaborating closely with data modeling, analytics, and business teams to deliver trusted, analytics-ready data. ● Contributing to the continuous evolution of the analytics architecture and enterprise Data Warehouse. I bridge engineering, analytics, and business, ensuring that critical data is delivered in a secure, scalable, and reliable manner to support high-impact analytical use cases in the credit market.

Data Engineer Specialist

Banco Triangulo S/A

2021-6 - 2025-6 · 4 yrs 1 mo

● Demand coordinator in the Data Engineering team. ● Project coordinator for the new data platform on SAS Viya (Azure). ● Responsible for the new architecture/infrastructure of the data platform in the SAS Viya (Azure) environment. ● Development of analyses and studies using SQL | SAS | Python. ● Responsible for data democratization and ingestion for business areas. ● Member of the Data Strategy team. ● Management and administration of the SAS environment. ● Demand management for the Data & Analytics area. ● Development of data ingestion pipelines. ● Design of data architecture for use in the analytics platform.

Data Engineer

Aché Laboratórios

2019-7 - 2021-6 · 2 yrs

● Create a data pipeline using Azure Synapse. ● Develop data flow using Databricks. ● Develop data loading scripts with Python | Spark. ● Develop ETL | ELT processes using SAS | SQL. ● Responsible for SAS environment administration/infrastructure. ● Liaison between the Data & Analytics team and the business area.

Senior Risk Information Management Analyst

Groupe PSA Brasil

2018-11 - 2019-6 · 8 mos

● Develop data architecture in the Credit Risk area. ● Develop ETL for Data Mart creation using SAS | SQL. ● Translate business solutions into technical solutions. ● Key point of contact for Analytics in the business area. ● Create dashboards for generating insights using Power BI.

SAS Specialist

Grupo Casas Bahia

2017-3 - 2018-10 · 1 yr 8 mos

● Member of the BI team, responsible for maintaining SAS ingestions. ● Maintain production jobs in the SAS environment. ● Support the business area in developing Analytics solutions. ● Maintain SAS Infrastructure/Administration. ● Responsible for developing and automating ETL solutions. ● Create reports and management indicators (MIS | KPI) for business areas.

Senior Systems Analyst (BI / SAS)

AIG

2013-3 - 2017-3 · 4 yrs 1 mo

São Paulo, São Paulo, Brasil

● Member of the BI | MIS | SAS Infrastructure/Administration team. ● Develop ETL solutions using SAS. ● Develop PL/SQL solutions for data ingestion in the SAS environment. ● Create reports and management indicators (MIS | KPI) for business areas. ● Adapt statistical reports for SUSEP compliance.

Mid-Level Systems Analyst

Itaú Unibanco

2010-8 - 2013-3 · 2 yrs 8 mos

São Paulo, São Paulo, Brasil

● Responsible for supporting statistical models developed in SAS / Cobol. ● Member of the Basel II Project. ● Coordination of key demands for the Basel II Project using SAS language.

SAS Consultant

Indra Group

2009-7 - 2010-8 · 1 yr 2 mos

Santander

● Member of the SAS server support/governance team, focusing on environment monitoring and scaling. ● Responsible for user support in creating SAS solutions. ● Management of small projects and process migration during the Real-Santander merger.