Felipe is an experienced, self-driven Data Engineer with over 8 years of experience working with data solutions, 5 years on cloud technologies, and 3 and a half years in cloud data engineering. His technical experience focused on building data platform aspects such as developing ELT pipelines using DBT, Databricks, Airflow, or Data Factory, providing platform improvements using Python such as implementing best practices, automated profiling reports, CI/CD deployment pipelines using GitHub Actions, and Azure DevOps. He is very strong in using both AWS and Azure to build cloud data solutions. He is always striving to architect and build solutions with quality, manageability, and automation attributes using the best frameworks and tools available to the problem, while clearly communicating the proposed values of the solution and implementation.
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Working at BeachBody data and analytics team, he’s part of the Snowflake migration project where he implemented an automatic data quality validation process between the existing data sources (Hive, Redshift, and Oracle) and the newly built snowflake data models on the AWS cloud using Python, Airflow and ECS containers, gathering data quality KPI’s to monitor the migrated tables.
Participated in the data governance initiative, working with the business stakeholders to conceive the initial data governance products such as the corporate data catalog, data quality indicators and monitoring, and defining data management processes, standards and responsibilities.
Tools: ADLS Gen2 Data Lake, Data Factory, Databricks, Spark, WebAPI, SAP, Salesforce, Python, PowerBI, SQL Server
Built and launched three digital products integrated with the blockchain tech, the ICO platform where the token occurred, a digital wallet (Lunes Wallet) with more than 10000 users, and Lunes Truth, a platform to sign and register contracts leveraging the blockchain technology, with more than 100 subscribers.
Worked at the UOL/Pagseguro client, modeling customer, campaigns, and relationship data from various channels to develop data models and pipelines using the SQL Server BI platform to deliver data products and analysis to the CRM team.
Allocated at the Municipal Secretary of Urban Development, built the architecture and implementation of a data-driven portal to inform the citizens about the main indicators covered by the São Paulo Strategic Plan, allowing granular analysis by geographic areas and the evolution over time of urban planning indicators.