Open to opportunities

Rivaldo Guimarães de Lima User

@rivaldoguimaresdelim

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Database Administrator at Matera, securing and tuning AWS Aurora and RDS infrastructure for financial services.

Brazil

Message

What I'm looking for

I’m looking to apply my database infrastructure experience across on-premise and multi-cloud environments, focusing on performance, cost efficiency, security, resilience, and business continuity.

At Matera, I work on operational excellence and data security for financial environments, sustaining and optimizing Amazon Aurora MySQL and RDS PostgreSQL clusters.

I configure resilient, Multi-AZ database architectures and manage RDS/KMS encryption to support critical banking services, performance, and cost efficiency.

At 3DB.CLOUD, I supported critical PostgreSQL and MySQL ecosystems across AWS, GCP, Azure, OCI, and on-premise environments. I led complex cloud and cross-cloud migrations, and worked on performance tuning and disaster recovery.

At Universidade Federal de Pernambuco, I maintained large, mission-critical data environments and implemented data integration pipelines with Pentaho Data Integration. My computer science research developed Java message-oriented middleware to examine data consistency in distributed relational databases.

Experience

Work history, roles, and key accomplishments

Current

Analista de Banco de Dados (DBA Cloud)

Current

Matera

Jan 2025 - Present (1 year 9 months)

Focused on operational excellence and data security in large-scale financial environments using the AWS (Amazon Web Services) managed ecosystem.

Areas of Expertise and Specialization:

AWS Data Architecture: Specialist in maintaining and optimizing Amazon Aurora MySQL and RDS PostgreSQL clusters, ensuring vertical and horizontal scalability in line with business demand.

AWS AWS RDS MySQL PostgreSQL AWS ECS

Analisa DBA N3

3DB.CLOUD

Aug 2022 - Dec 2024 (2 years 4 months)

Senior DBA in a consulting environment, responsible for the maintenance, performance, and availability of critical ecosystems for various market players.
Key Deliverables and Expertise:
Multi-Cloud & On-Premises Environment Management: Advanced administration of PostgreSQL and MySQL instances operating on AWS (RDS/Aurora), GCP (Cloud SQL), Azure, and OCI, ensuring high availability.

MySQL Administration PostgreSQL Administration MongoDB

Analista de T I (DBA)

Universidade Federal de Pernambuco

Jul 2012 - Aug 2022 (10 years 1 month)

Responsible for maintaining the sustainability and integrity of the data ecosystem at one of the country's largest universities, managing multi-cluster environments and mission-critical databases with terabyte-scale data volumes.
Large-Scale Data Management (Big Data): Administration and tuning of databases in Oracle 11g, PostgreSQL, and MySQL, ensuring high performance for academic systems.

MySQL PostgreSQL Administration Postgres Replication Oracle Database

Education

Degrees, certifications, and relevant coursework

Microsoft

Microsoft Certified: Azure Data Fundamentals

Feb 2023

LS Treinamentos

Curso de Imersão em Azure Big Data para Iniciantes

Feb 2022

Microsoft

Microsoft Certified: Azure AI Fundamentals

Nov 2021

Universidade Federal de Pernambuco

Master of Science (M.Sc.), Computer Science

2015 - 2017

My research demonstrated the feasibility of maintaining data consistency in distributed relational databases without compromising Availability and Partition Tolerance (CAP Theorem).

Technical Implementation: I developed a Message-Oriented Middleware (MOM) in Java to prove that consistent data states can be guaranteed in distributed environments, solving a classic challenge in relational database

ESAB Escola Superior Aberta do Brasil

Especialização em Engenhária de Software, Tecnologia da Informação

2011 - 2013

Focus: This research demonstrated how data mining methodologies contribute to discovering hidden patterns within blood donor registries.

Objective: The project aimed to identify donor profiles most likely to meet specific hemocenter demands, optimizing the recruitment process for critical medical supplies.

Methodology: Applied Knowledge Discovery in Databases (KDD) and data mining techniques to