Oct 2023 – Dec 2025 · 2 yrs 2 mos

• Main Activities:
• ◦ Team Management & Leadership
• Manage a high-performing Data Delivery team, overseeing daily operations and fostering collaboration and innovation.
• Conduct 1:1s, implement Individual Development Plans (IDPs), provide feedback, and guide career growth.
• Act as hiring manager, ensuring acquisition of diverse talent.
• Design and implement a seniority matrix and career framework for the Data Org, aligning individual growth with organizational goals.
• Manage budget, performance, and results of a global team across Brazil and Sweden, optimizing resources and consistently exceeding targets.
• ◦ Strategic Project Organization
• Lead planning and execution of projects, breaking down initiatives into actionable tasks and ensuring successful delivery.
• ◦ Technical Guidance & Adaptation
• Provide technical guidance, stay ahead of industry trends, and adapt plans to address resource and operational challenges.
• ◦ Data Architecture & Platform Oversight
• Lead the Latam Data Platform, leveraging BigQuery, Cloud Storage, Airflow, Kafka, Benthos, and Dataform.
• ◦ Global Data Architecture Contribution
• Coordinate the definition and implementation of the Data Fabric, contributing to the evolution of the global data architecture and new data domains, using Databricks, Snowflake, Cube.Dev, dbt, Clickhouse, and Informatica.
• Act as Interim Data Architect, leading the Architecture group and meetings, driving discussions and guiding key technical decisions.
• ◦ Global Collaboration
• Active member of the Global Data Leadership group, working closely with the Chief Data Officer (CDO) and contributing insights and materials for board presentations, requiring a holistic understanding of the global data landscape.

Nov 2022 – Oct 2023 · 11 mos

• Main activities:
• Responsible for leading the Data Engineering team and the LatAm initiatives;
• Team management: 1:1s, individual development plan (IDP), feedback, career management, and hiring manager;
• Development of the seniority matrix and career plan for the data area;
• Promote the organizational culture in the team;
• Responsible for translating business needs and converting data into assets;
• Lead Data Projects;
• Responsible for ensuring data quality;
• Responsible for the Data Architecture/Platform (Bigquery/Cloud Storage/Airflow/Kafka/Benthos/Dataform);
• Acting as the Tech Lead and the Data Architect;
• Contribution to the evolution of the global data platform;
• Participate and contribute to the Global Data Leadership group with the CDO.
• Results:
• Responsible for promoting the Data area from the region (LatAm) to the global teams;
• Acting as the Tech Lead and Data Architecture in a global POC to transform the Data area, translating the technical pieces to the business people;
• Being a key person in discussions regarding team and architecture restructure with the CDO and VP;

Jul 2022 – Nov 2022 · 4 mos

• Main activities:
• Data Lake House creation and maintenance (Snowflake);
• Data transformations with DBT orchestrated by Airflow;
• Consuming events from Kafka through Knative;
• Application of Data Governance best practices (GDPR, LGPD);
• Integration of different data sources;
• Using AWS tools: S3, EC2, RDS;
• Relational databases;
• Pipeline development using Airflow;
• Acting as the Engineer Manager on the Analytics team for a new product;
• Responsible for the Data Architecture from planning to implementation;
• Responsible for translating business needs and converting data into assets.
• Results:
• Participate in the creation of a new Analytics team from scratch dedicated to a new Product. With a brand new scope and architecture, new tools, technologies, and approaches.
• Acting as the Engineer Manager, leading the engineering side of the team, participating in all the architecture discussions for the BU, and being responsible for the Data Architecture, from planning to implementation.
• Helping to build a new Data Lake from scratch, delivering insights to the teams through Tableau dashboards and reports.

Mar 2022 – Sep 2022 · 6 mos

• Main activities:
• Data Warehouse creation on Snowflake;
• Data transformations with DBT;
• Integration of different data sources;
• Consuming events from Kafka through Knative;
• Responsible for the Data Architecture;
• Using AWS tools: S3, EC2, RDS;
• Relational databases;
• Pipeline development using Airflow;
• Application of Data Governance & Data Privacy best practices (GDPR);

Mar 2021 – Mar 2022 · 1 yr

• Main activities:
• Data Lake creation using EMR, Spark, Delta Lake, Trino (AWS);
• Data Lake maintenance (Google Cloud);
• Application of Data Governance & Data Privacy best practices (GDPR, LGPD);
• Integration of different data sources;
• Using GCP tools: BigQuery, Cloud Storage, PubSub, Dataflow, Data Studio and Cloud Functions;
• Using AWS tools: S3, Athena and Redshift;
• Data democratization with Metabase;
• Relational databases;
• Pipeline development using Airflow;
• Acting as Data Team's Scrum Master.

Dec 2020 – Mar 2021 · 3 mos

• Main activities:
• Data Lake creation and maintenance (Google Cloud);
• Application of Data Governance best practices (GDPR, LGPD);
• Integration of different data sources;
• Using GCP tools: BigQuery, Cloud Storage, PubSub, Dataflow, Data Studio and Cloud Functions;
• Using AWS tools: S3, Athena and Redshift;
• Data democratization with Metabase;
• Data warehousing (PostgreSQL);
• Relational and Non-relational databases;
• Pipeline development using Airflow and Jenkins;
• Dashboards creation using Data Studio;

Dec 2019 – Dec 2020 · 1 yr

• Main activities:
• Data Lake creation and maintenance (Google Cloud);
• Application of Data Governance best practices (GDPR, LGPD);
• Integration of different data sources;
• Using GCP tools: BigQuery, Cloud Storage, PubSub, Dataflow, Data Studio and Cloud Functions;
• Using AWS tools: S3, Athena and Redshift;
• Data democratization with Metabase;
• Data wharehousing (PostgreSQL);
• Relational and Non-relational databases;
• Pipeline development using Airflow and Jenkins;

Nov 2018 – Dec 2019 · 1 yr 1 mo

• Main activities:
• Data Lake maintenance (GCP & AWS);
• Integration of different data sources;
• Using GCP tools: BigQuery, Cloud Storage, PubSub, Dataflow and Composer;
• Using AWS tools: S3, Athena, Cloud Formation, Glue and Redshift;
• Data democratization with Metabase and Dremio;
• Relational and Non-relational databases;

Dec 2016 – Oct 2018 · 1 yr 10 mos

• The Business Operations team is in charge of processes simplification, operations, geography integration, employees’ data management across domains, geo expansion and LA CIO executive assistance.
• IT Intern on a Business Operations Team
• Cognos Dashboard’s development to delivery all the resources data in an easier way with a better UX using graphics instead of using excel worksheets (Recognised by the CIO).
• Participation in a project using Machine Learning and Data Science with Python and Linear Regression in order to get a much more precise Forecast and in about 2 hours instead of 2 days (16 hours). The productivity was improved by 80%.
• Development of a web page for the squad in order to have all reports centralized in a single place, separated by tabs. Now it’s easy to access the report based on its title/description. Before this, the team needed to access each Cognos Dashboard directly what required them to know their links. It improved the User Experience (UX) of the team.
• Participation on the Up-Skilling Program for Web Developer. In the end, it was formed a group and we had to build a website for a course hub using javascript and node.js under Blue Mix platform.