Overview
Professional Profile
Experienced data professional with a strong background in Data Engineering, Data Architecture, and Database Administration (DBA), working in high-volume, complex, and mission-critical environments. Proven track record in corporate data modeling across conceptual, logical, and physical stages for transactional (OLTP), analytical (OLAP), and multidimensional systems.
Specialized in performance tuning and optimization of relational databases (PostgreSQL, SQL Server, Oracle) in both on-premises and multi-cloud environments (AWS, GCP, Microsoft Azure). Adept at identifying and resolving complex performance bottlenecks, optimizing queries, partitioning large tables, and designing high-availability/disaster recovery strategies.
Extensive experience building end-to-end data pipelines focused on the delivery of robust Data Products, implementing rigorous data quality, data governance, and metadata management (data lineage and cataloging) strategies using tools like OpenMetadata and Azure Dataverse.
Proficient in designing advanced semantic and ontological layers (OWL/Turtle, SPARQL-over-SQL semantic virtualization, Apache Jena Fuseki). Highly skilled in building modern data pipelines (batch and streaming) using Python, Apache Airflow, Apache Spark, and cloud-native services (AWS Glue/EMR, GCP Composer/Dataproc, Azure ADF/Databricks), as well as integrating event-driven architectures with Kafka and RabbitMQ.
Expertise in modern cloud storage architectures (Data Lakehouse) utilizing Trino, Dremio, Apache Iceberg, AWS S3 / S3 Tables, GCP Cloud Storage / BigQuery, and Azure ADLS Gen2 / Synapse, ensuring architectural portability using Docker and containerized ecosystems.
Competencies
Technologies & Skills
Modern Data Lakehouse
Enterprise Data Warehouse (EDW)
Conceptual Data Modeling
Logical Data Modeling
Physical Data Modeling
Dimensional Modeling
ETL/ELT Pipelines
Analytics Engineering
Big Data Solutions
Data Products Design
PostgreSQL (Amazon RDS, Cloud SQL)
Microsoft SQL Server
Oracle Database (Exadata, RAC)
MySQL
OLTP & OLAP Tuning
Query & SQL Optimization
High Availability (HA) & DR
Database Replication
Table Partitioning
Index Design & Tuning
AWS S3 & S3 Tables
AWS Glue & MWAA
AWS EMR & Redshift
AWS Athena
Google Cloud Storage (GCS)
GCP BigQuery
GCP Dataplex & BigLake
GCP Cloud Composer
Azure ADLS Gen2
Azure Databricks & Synapse
Azure Data Factory (ADF)
Microsoft Fabric
Apache Airflow
Apache Spark
Apache Iceberg
Trino
Dremio
Apache Kafka
RabbitMQ
Python Automation
PL/SQL Programming
REST APIs & Microservices
Ontological Modeling
OWL (Web Ontology Language)
SPARQL Federated Queries
SPARQL-over-SQL Virtualization
Turtle Format (.ttl)
Apache Jena Fuseki Servers
AI Agent Architecture (Vanderbilt)
Generative AI Tools (Claude Code)
Machine Learning Data Prep
Metadata Management
OpenMetadata Platform
Azure Dataverse
Data Quality & Observability
Docker Containers
Kubernetes Orchestration
CI/CD Pipelines
Infrastructure as Code (IaC)
VMware ESXi Administration
Timeline
Work History
Core Responsibilities:
- Design and implement modern data platform architectures across multi-cloud (AWS and GCP) and on-premises environments.
- Architect, build, and orchestrate scalable data pipelines using Apache Airflow (AWS MWAA, GCP Cloud Composer) and Apache Spark (AWS Glue/EMR, GCP Dataproc).
- Modernize legacy analytical storage into Data Lakehouse architectures utilizing Trino, Dremio, Apache Iceberg, AWS S3 / S3 Tables, and GCP Cloud Storage.
- Deliver corporate data models (conceptual, logical, and physical) for transactional and analytical systems.
- Design and virtualize semantic metadata/knowledge graphs using OWL (.ttl) ontologies, SPARQL, and Apache Jena Fuseki servers.
- Implement data governance, data catalogs, and metadata lineage tracking using OpenMetadata.
Key Achievements & Projects:
Internet Brasil (Digital Inclusion Program): Designed and deployed a scalable hybrid data architecture utilizing PostgreSQL (RDS) for transactional flows and Google BigQuery for high-performance large-scale analytics. Developed automated ELT pipelines for beneficiary data ingestion, optimizing query efficiency and reducing cloud operational costs.
SISU (Unified Selection System): Re-engineered the database backend and infrastructure configuration for a high-concurrency national application. Managed query optimization, index tuning, and partitioning on Oracle and SQL Server systems, ensuring stability and zero downtime during peak national registration access.
Adapta Brasil (MCTI Climate Portal): Engineered ingestion workflows and indicators database modeling, successfully unifying socio-environmental data from disparate scientific and governmental sources.
Sinapse (MCTI): Spearheaded semantic interoperability by virtualizing distributed relational databases into semantic layers, allowing complex federated queries across distinct government platforms using SPARQL.
SIB (ANS Beneficiary System): Modernized and tuned bulk XML/JSON data exchange interfaces between healthcare providers and ANS databases, resolving systemic performance bottlenecks.
Core Responsibilities:
- Provided database administration, design, and performance optimization services to multiple enterprise clients at a Microsoft Azure Gold Partner consultancy.
- Supported database platforms spanning Oracle Database, Microsoft SQL Server, MySQL, and PostgreSQL.
- Designed cloud migration strategies and built modern data lake architectures in Microsoft Azure.
Key Achievements & Projects:
Cloud Database Migration: Successfully migrated legacy on-premises databases to Azure-managed databases (Azure SQL Database, Azure Database for PostgreSQL/MySQL), planning and executing with minimal business disruption.
Azure Data Engineering: Created and automated serverless ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks, ingesting and structuring client data in Azure Data Lake Storage Gen2 (ADLS Gen2).
Performance Rescue: Diagnosed and resolved critical SQL Server and Oracle database bottlenecks (e.g., locking, high CPU utilization, memory pressure) through SQL tuning, query refactoring, index reorganization, and parameter tuning.
Core Responsibilities:
- Developed database solutions, stored procedures, and integrations for fiscal and tax calculations within the energy enterprise (ethanol, oil, and gas).
- Automated data transformation processes and synchronized cross-system integrations using Python and Oracle PL/SQL.
Key Achievements & Projects:
Tax Processing Speed-up: Optimized long-running PL/SQL packages, functions, and triggers, reducing processing windows for daily fiscal operations.
Python Automation: Replaced manual file-handling processes with automated Python scripts, securing data integrity and ensuring tax compliance with government systems.
Core Responsibilities:
- Managed the company's entire core database (Oracle DBA), BI platform, virtual infrastructure, and internal software developments.
- Developed custom applications in PL/SQL and PHP to support ERP JD Edwards integrations.
Key Achievements & Projects:
VMware Virtualization: Led the migration and virtualization of the entire bare-metal physical server infrastructure to a VMware ESXi private cloud environment, increasing hardware resource utilization by 70% and ensuring disaster recovery.
Oracle JDE ERP Tuning: Maintained and tuned the Oracle database infrastructure supporting the JD Edwards ERP, eliminating bottleneck issues during monthly financial closings.
End-to-End Business Intelligence: Modeled the corporate DW and designed, built, and maintained the company’s BI platform utilizing Oracle BI Enterprise Edition (OBIEE), creating reports and dashboards for executive decision-making.
B2B Platform Development: Programmed and launched the company's first B2B sales portal from scratch, designing the relational database model and creating APIs to sync transaction data directly with JDE.
Contributions
Projects & Open-Source Tools
Productivity Tools
Privacy-focused, offline-first local task manager.
Client-side SQL query viewer, formatter, automatic business rules generator and query explainer with AI operating entirely in the browser using open formats.
Browser-based offline-first Markdown live preview tool.
Customizable browser start page and quick-access dashboard.
Gnome Extensions
Search-focused application launcher extension for the Gnome shell.
Hydration tracker widget integrated into the Gnome shell panel.
Space-efficient, lightweight application menu.
Gnome extension to play video files as desktop screensavers.
Credentials
Education & Certifications
Education
2024
Postgraduate Certificate in Data Science
Centro Universitário União das Américas Descomplica
2018
Database Engineering Postgraduate
Unicamp
2002
Technician in Data Processing
Anhanguera University Center
Top Certifications
- AI Agent Developer
- Claude Code: Software Engineering with Generative AI Agents
- ChatGPT Advanced Data Analysis
- OpenAI GPTs: Creating Your Own Custom AI Assistants
- Prompt Engineering for ChatGPT
- AI Agents and Agentic AI with Python & Generative AI
- AI Agents and Agentic AI Architecture in Python
- AI for App Building
- AI for Data Analysis
- AI for Content Creation
- AI for Writing and Communicating
- AI for Research and Insights
- AI for Brainstorming and Planning
- AI Fundamentals
2023
Data Science Program with Residency
CPQD / PUC Campinas
2011
Scrum Foundation Professional (SFPC)
2008
MCTS Microsoft SQL Server Certification
2007
Oracle DBA Administrator
Languages
Personal Details
- Nationality: Brazilian
- Born: July 4, 1977
- Location: Limeira – SP, Brazil
- Availability: Freelance, Full-time and Consulting
Connect
Get In Touch
Let's Collaborate
If you need database performance troubleshooting, large-scale semantic integration, or cloud migration architectures, feel free to reach out.
Email:
gilson.fonsaca@gmail.com
LinkedIn:
linkedin.com/in/gilsonfonsaca
Location:
Limeira - SP, Brazil