PROFESSIONAL JOURNEY

Experience Building Enterprise Data Platforms and Analytics Capabilities

Rodrigo Póvoa in a data analytics and artificial intelligence environment

End-to-End Data Leader

With more than 15 years of experience across Data Analytics, Engineering and Architecture, I combine hands-on technical expertise with team leadership, stakeholder management and business-focused delivery.

My career has evolved alongside the data industry, from traditional Business Intelligence and Enterprise Data Warehousing, through distributed Big Data ecosystems using Hadoop, Hive and Elasticsearch, to modern Cloud Data Platforms and Lakehouse architectures based on Azure, Databricks, Delta Lake, Python, PySpark, SQL and Power BI.

Throughout this journey, I have designed, integrated and modernized complete data ecosystems, covering ingestion, transformation, orchestration, quality, governance, security, performance optimization and analytics delivery.

Experience Across Different Environments

My experience spans large enterprises, consulting engagements, international banking and retail projects, digital businesses and technology startups. This diversity allows me to operate effectively in regulated corporate environments as well as fast-moving organizations requiring flexibility, ownership and rapid delivery.

Leadership Beyond Technology

Beyond hands-on engineering, I have led multidisciplinary data teams, mentored engineers and analysts, established architecture and delivery standards, and acted as a primary technical partner for clients and business stakeholders. My experience in solution scoping, product development and commercial discussions helps me connect data strategy, technology, people and business outcomes.

Professional Snapshot

What professional roles am I targeting?

Senior and leadership opportunities across Data Engineering, Data Architecture and Analytics.

What is my core technical specialization?

End-to-end data platforms, from ingestion and orchestration to governance and analytics, with a strong focus on Azure Databricks Lakehouse architectures.

What environments have I worked in?

Large enterprises, consulting, international banking, retail, digital businesses and technology startups in both regulated and fast-moving contexts.

Technology Stack & Experience Depth

Languages & Processing

SQL19 yrs
PL/SQL10 yrs
T-SQL8 yrs
Python6 yrs
PySpark3 yrs

Data Engineering & Platforms

ELT / ETL Pipelines10 yrs
Azure4 yrs
Databricks3 yrs
Unity Catalog3 yrs
Delta Lake3 yrs
Hadoop Ecosystem3 yrs
ElasticSearch2 yrs

Databases

Oracle10 yrs
SQL Server8 yrs
MySQL5 yrs
Postgress2 yrs
Snowflake1 yr
Google BigQuery2 yrs
MongoDB1 yr

BI & Analytics Platforms

IBM Cognos5 yrs
Tableau3 yrs
MicroStrategy2 yrs
Kibana2 yrs
Qlik Sense1 yr
QlikView1 yr

Microsoft BI Stack

Power BI6 yrs
SSIS4 yrs
SSAS4 yrs
SSRS4 yrs

Data Architecture & Governance

Dimensional Modeling19 yrs
Data Warehousing (EDW)8 yrs
Data Quality / Auditing8 yrs
Data Architecture6 yrs
Slowly Changing Dimension (SCD)6 yrs
Semantic Modeling6 yrs
Data Marts6 yrs
Data Governance4 yrs
GDPR & Data Compliance4 yrs
Data Management2 yrs
Medallion Architecture1 yr

Engineering, Delivery & Collaboration

Git / GitHub / GitLab / Bitbucket8 yrs
SCRUM / Kanban8 yrs
Jira / Confluence5 yrs
Automation & Orchestration5 yrs
Code Review3 yrs
CI/CD2 yrs
DataOps2 yrs

AI, Web & Cloud Engineering

Cloud Infrastructure3 yrs
Google Analytics1 yr
Vercel1 yr
AI APIs1 yr
RAG1 yr
Generative AI1 yr
Modern Web Technologies1 yr
SEO/AEO Frameworks1 yr

Professional Experience

Senior Data Engineer

Tips4y – Automotive IntelligenceJul 2025 – Jul 2026
Portugal
  • Designed and documented a scalable Medallion Architecture with Bronze, Silver and Gold layers on Azure Databricks, aligned with DataOps, Data Mesh principles and GDPR-compliant governance.
  • Engineered complex Full Load, Incremental and Merge/Upsert ingestion pipelines into Delta Lake with automated validation, profiling and cleansing.
  • Implemented data enrichment, business transformation and cleansing logic within the Silver layer to deliver standardized, high-quality analytical datasets.
  • Created and managed automated Databricks Jobs to orchestrate, schedule and control the complete data pipeline lifecycle.
  • Applied Delta Lake performance and data-management techniques including Z-Order optimization and Liquid Clustering, improving query performance and cloud storage efficiency.
  • Leveraged Azure Key Vault for secure secret management and Unity Catalog for centralized access control, RBAC and automated data lineage.
  • Established CI/CD workflows using Bitbucket for version control, code review and automated deployment of data pipelines.
  • Built a curated Gold layer with dedicated Data Marts for multiple business areas, powering high-performance Power BI dashboards for strategic clients.
  • Acted as the technical authority for Azure Databricks architecture, established engineering best practices, mentored team members and documented infrastructure and pipeline standards in Confluence.
Tech Stack
AzureDatabricksUnity CatalogPySparkDelta LakePower BISQL ServerBitbucketAzure Key VaultJiraConfluenceSCRUM

Senior Data Analyst

NatixisNov 2024 – Jun 2025
Portugal
  • Worked within an international Data Management team focused on advanced analytics, collaborating across a distributed setup between Paris and Porto.
  • Operated in a strictly regulated financial environment, ensuring regulatory compliance, data accuracy and data quality for critical risk and performance frameworks.
  • Architected and automated advanced Power BI reports and executive dashboards using Power Query, DAX and the M language.
  • Built robust Python data-transformation workflows, analytical scripts and automation routines to streamline data processing.
  • Partnered with financial controllers and risk-management teams to automate reporting cycles, remove manual bottlenecks and strengthen regulatory dashboard reliability.
Tech Stack
Power BIPythonSQLSQL ServerSCRUM

Senior Data Engineer

Hitachi VantaraJan 2023 – Oct 2024
Portugal
  • Led complex data integration and modernization initiatives for a large-scale international banking project within an enterprise Oracle Data Warehouse environment.
  • Managed, developed and optimized Oracle data warehouse environments, including ETL pipelines, SQL tuning, indexes, triggers and database administration.
  • Maintained enterprise MicroStrategy dashboards and reporting solutions that delivered actionable performance insights for strategic decision-making.
  • Mentored junior engineers, promoted code-quality practices and contributed to architecture reviews to ensure compliance and technical excellence.
Tech Stack
OracleSQLPL/SQLMicroStrategy

Operations Analytics Manager

ARPA Elastic SolutionsOct 2021 – Dec 2022
Portugal
  • Led a cross-functional team of three data engineers and analysts, managing sprint delivery, defining data SLAs, handling direct client engagement and contributing to technical scoping and contract negotiations.
  • Expanded the product portfolio with a modern Azure-based solution alongside the legacy Elasticsearch and Kibana stack, building Python and T-SQL pipelines integrated with Azure SQL and Power BI.
  • Translated operational business needs into clear technical requirements, aligning stakeholders and engineering teams around successful data-solution delivery.
  • Implemented coding, versioning and CI/CD standards in GitLab and mentored team members on Git workflows to improve delivery consistency.
  • Enforced data-governance standards covering granular access control, data ownership and automated data-validation frameworks.
Tech Stack
AzureSQLT-SQLPower BISQL ServerPythonGitLabElasticsearchKibanaLogstashSCRUM

Senior Data Engineer

Sonae MCJan 2020 – Oct 2021
Portugal
  • Acted as the main technical bridge between Sonae's central engineering team and the Cartão Continente loyalty squad, aligning technical goals and communication.
  • Led Azure migration activities and selected the core datasets to be integrated into the Cartão Continente Data Lake.
  • Modernized legacy Python integration and treatment processes into distributed PySpark pipelines on Azure Databricks.
  • Developed and maintained Hadoop and Hive pipelines and updated legacy MicroStrategy reports to consume data directly from the new Azure Data Lake.
  • Built and optimized PySpark and Delta Lake pipelines processing millions of daily records across more than 400 stores, ensuring performance, reliability and data quality.
  • Prepared clean, treated datasets for Data Science teams to build predictive models and machine-learning features.
  • Enabled near real-time retail analytics through optimized Databricks pipelines, supporting operational and strategic decisions across more than 400 stores.
  • Optimized SQL across SQL Server, Oracle, MySQL, PostgreSQL and Google BigQuery while applying RBAC and secure-access governance controls.
  • Managed agile delivery and documentation with Jira and Confluence and maintained version control and code collaboration through GitHub.
Tech Stack
AzureDatabricksPythonPySparkDelta LakeHadoopHiveMicroStrategySQL ServerOracleMySQLPostgreSQLGoogle BigQueryGitHubJiraConfluenceSCRUM

BI Specialist

Holos Media – Digital Media AgencyJan 2019 – Oct 2019
Brazil
  • Migrated legacy QlikView dashboards to Tableau, redesigning visual layouts and validating data accuracy throughout the transition.
  • Administered Oracle environments for the media team, including backups, maintenance, database updates, query optimization and health monitoring.
  • Developed and optimized PL/SQL routines, stored procedures and complex SQL queries for high-volume digital campaign data.
  • Partnered with media and marketing teams to gather requirements, define KPIs and deliver actionable performance reporting.
Tech Stack
SQLPL/SQLOracleQlikViewTableauSCRUM

IT Specialist

Som LivreJan 2017 – Dec 2018
Brazil
  • Led a multidisciplinary team of four data professionals, managing backlogs, sprints and priorities for BI and Data Warehouse solutions using Power BI, SSIS, SSRS and SSAS.
  • Led the company-wide migration from SSRS reports to Power BI dashboards and supported teams in adopting Power BI as the reporting standard.
  • Developed Python integrations between the Royalties ERP and MySQL and optimized PL/SQL and T-SQL routines for financial and operational reporting.
  • Acted as Product Owner for the Royalties ERP, managing roadmaps, backlog priorities and cross-team delivery of critical financial capabilities.
Tech Stack
Power BISSISSSASSSRSPythonSQLSQL ServerMySQLT-SQLSCRUM

BI Team Leader

Celular DiretoMar 2016 – Dec 2016
Brazil
  • Founded and structured the Business Intelligence department from scratch, selecting the tools, architecture, standards and delivery processes.
  • Acted as lead architect for a BI platform that integrated CRM, ERP and operational systems into a centralized analytical database.
  • Built and managed Qlik Sense ETL processes across MySQL, SQL Server, ERP and CRM sources.
  • Established enterprise data-modeling standards, metric definitions and semantic layers for consistent and scalable reporting.
  • Built executive and operational dashboards in Qlik Sense for sales, operations and customer performance.
  • Introduced project documentation and agile engineering practices to improve delivery speed and platform stability.
  • Hired, mentored and managed a team of three BI developers, strengthening technical capability and delivery culture.
Tech Stack
SQLSQL ServerMySQLPL/SQLQlik SenseSCRUM

System Analyst and BI Analyst

B2W Digital GroupJan 2014 – Mar 2016
Brazil
  • Developed vendor accounts-payable BI solutions using SQL Server, SSIS, SSRS and SSAS, including integrations, reports and analytical cubes.
  • Built dynamic Tableau dashboards connected to SQL Server and MongoDB to support data-driven decisions.
  • Analyzed marketplace orders in Oracle and created automated routines to detect and alert on vendor price outliers.
  • Developed an internal administration module using Grails, Groovy, Bootstrap, HTML and CSS to monitor marketplace partner integrations.
  • Documented technical workflows in Confluence and managed development tasks and deliverables through Jira.
  • Developed and tuned advanced T-SQL queries and stored procedures for mission-critical SQL Server applications.
Tech Stack
SQLOracleSQL ServerT-SQLSSISSSASSSRSTableauMongoDBGrailsGroovyJiraConfluenceKanban

Early Career (Trainee to BI Team Leader)

Wilson Sons, FGV & Delphos Tecnologia em Seguros2007 – 2013
Brazil
  • Progressed from Trainee to BI Team Leader while delivering data and analytics solutions across Oracle, IBM Cognos and SQL Server environments.
  • Built a strong foundation in data modeling, PL/SQL development, ETL processes and business reporting for finance and operations.
  • Led small project teams and delivered enterprise dashboards and automation initiatives that improved decision-making and data governance.
  • Worked with major organizations including Wilson Sons, Fundação Getúlio Vargas and Delphos Tecnologia em Seguros.
Tech Stack
OracleIBM CognosSQL ServerPL/SQLETLData ModelingData Warehousing

Academic Background

Bachelor of Computer Science

UFF (Federal Fluminense University)Brazil2011

Certifications & Courses

Mastering Azure Databricks for Data Engineers Specialization – Packt (2025)

Snowflake Data Engineering Professional – Snowflake (2025)

GDPR – DLC (Distance Learning Consulting) (2022)

Microsoft Learning: Perform Data Science and Data Engineering with Databricks (2021)

SCRUM Foundation Professional Certificate – CertiProf (2020)

Python and R Programmer Track – DataCamp (2019)

Qlik Sense Developer & Admin Modules (2016)

Languages

Portuguese

Native

English

Advanced (C1 – improving towards C2 proficiency)

Spanish

Basic (A1 equivalent)