Renan Schroeder Email & Phone Number

Joinville, Sc, Br

As a Squad Leader for the core team of the data platform at TOTVS, I oversee the development and maintenance of the company's main data platform, accessed by thousands of customers. This role combines technical leadership, team management, and strategic planning to ensure the platform's success and alignment with business goals.Key Responsibilities:Backlog Management:Prioritize and manage the team's backlog, ensuring alignment with business priorities.Facilitate grooming sessions to refine tasks and set clear expectations.Team Development and Leadership:Mentor and develop team members, fostering a culture of continuous learning.Conduct performance reviews and provide constructive feedback.Encourage collaboration and knowledge sharing within the team.Project and Task Management:Oversee day-to-day activities, ensuring tasks are completed on time and meet quality standards.Coordinate with other teams and stakeholders to manage dependencies.Use Agile methodologies to track progress and adjust plans.Technical Oversight:Provide technical guidance and support to team members, ensuring best practices in coding, testing, and deployment.Stay updated with industry trends and incorporate relevant advancements.Strategic Planning:Collaborate with product owners and senior management to define the roadmap and strategic direction based on department OKRs.Stakeholder Communication:Regularly update stakeholders on project status, risks, and mitigations.Ensure transparent communication between the team and other departments.Drive innovation by exploring new technologies and methodologies.Implement processes for continuous improvement and operational excellence.This role ensures the data platform remains robust, innovative, and capable of meeting the evolving needs of TOTVS's customers and business. By combining strong technical expertise with effective team management, the Squad Leader plays a key role in the platform's success.

Estados Unidos

As a Data Platform Software Engineer on the core team of the Carol data platform at TOTVS, I contribute to developing and maintaining the company's main data platform, accessed by thousands of customers. My work involves using cutting-edge technologies and methodologies to ensure scalability, security, and efficiency in data processing and management.The Carol platform supports a multi-tenant environment, allowing users to manage connectors, staging and golden data processed by scheduled pipelines every day to feed smart apps.Implement data security and access control by user groups and tenants. Allowing the tenant administrator to configure their Data Lake under Data Governance best practices. Additionally, I am involved in the architecture and design of a new data platform based on Data Mesh principles. This includes infrastructure as a service, federated governance, data as a product, and decentralized data architecture. These efforts aim to democratize data access, enhance data quality, and enable scalable and flexible data management.My role ensures the Carol platform remains robust, innovative, and aligned with TOTVS's data strategy, meeting the evolving needs of our customers and the business.

As the Manager of Data Architecture, I lead strategic efforts to align our data architecture teams with the business objectives of Finance, Payments & Fraud Prevention, Merchant, and Logistics. My central focus revolves around managing Objectives and Key Results (OKRs) to ensure the delivery of high-quality data products that empower business units for informed decision-making. In close collaboration with the Data Analytics Head, I play a pivotal role in selecting optimal technical tools and frameworks, driving the accelerated creation of data products that directly impact business unit operations and enhance AI data models.Key Responsibilities:Strategic Oversight:Formulate and manage OKRs for Data Architecture teams, aligning with broader organizational goals.Drive strategic initiatives to enhance the overall effectiveness and impact of data architecture on business outcomes.Leadership:Structure and lead three distinct data architecture teams, with each team having a dedicated Data Architect lead reporting directly to me.Foster a collaborative and innovative team culture, ensuring the teams are well-equipped to deliver on strategic objectives.Business Unit Alignment:Understand the unique data needs of Finance, Payments & Fraud Prevention, Merchant, and Logistics business units.Ensure data architecture teams are aligned with these needs, delivering tailored data products that support decision-making."Data as a Product" evangelist:Drive the development and implementation of efficient processes for accelerating the creation of new data products.Collaborate with Data Architect leads to optimize workflows, ensuring timely delivery of impactful solutions.Enriching AI Data Models:Work closely with the Data Analytics Head to provide data products that enrich AI data models.Contribute to the enhancement of AI capabilities by leveraging cutting-edge tools and frameworks.

As the Lead Data Architect at iFood, I drive the design and evolution of our distributed data architecture, overseeing three teams dedicated to key domains—Finance & Payments, Fraud Prevention, Logistics, and Merchant. In line with the Data Mesh culture, I organize teams into small cells for effective collaboration, delivering Data as Products to diverse business units.Key Achievements and Responsibilities:Leadership and Collaboration:Lead and inspire three Data Architect teams, offering mentorship and technical guidance.Collaborate with cross-functional teams to align data architecture with organizational goals.Data Architecture Design and Implementation:Direct the design and implementation of a scalable architecture using technologies like Kafka Confluent, Apache Spark, AWS EMR, Snowflake, etc.Optimize data pipelines for low-latency and high-throughput, addressing critical areas.Data Mesh Adoption:Drive Data Mesh principles, organizing teams into small cells for efficient collaboration.Foster a culture of Data as Products, meeting the needs of varied business units.Infrastructure and Tooling:Oversee tool usage, including Airflow for orchestration, Terraform for IAC, Amundsen, and Alation for Data Catalog.Utilize Grafana for real-time data visualization, supporting Business Intelligence reports.Data Governance:Establish and enforce centralized data governance, ensuring security and semantic consistency.Minimize redundancy and optimize data storage and processing efficiency.Adaptation to Emerging Technologies:Stay abreast of industry trends, strategically incorporating emerging technologies for enhanced efficiency.Strategic Business Support:Play a pivotal role in supporting business growth by providing strategic insights derived from data analysis.Facilitate data-driven decision-making to drive business success.

Working as a Data Engineer responsible for building and maintaining a distributed and scalable data architecture to meet the needs of business areas such as Finance, Payments, Fraud Prevention and Logistics. I also have been worked closely with Engineering and Product teams (Software Engineers and Product Managers) responsible for iFood's application services that also provide data for the Data Lake.Data Stack:Kafka Confluent for event-driven architecture data products (low latency)Apache Spark Structured Streaming for NRT ingestion (Kafka/Streaming files)PostgreSQL for SGDB for relational databasesAWS EMR for batch ingestion (legacy)AWS S3 for Data Lake storageDatabricks w/ Spark JDBC for batch ingestion (new)Databricks Notebooks for ETLs (PySpark, Spark, or SQL for data transformation and validation)Databricks HIVE metastore to persist Delta tablesSnowflake for Data Warehouse to support many Data Viz self-service Workbooks and Dashboards on TableauAirflow to orchestrate all pipeline runsTerraform for IACAmundsen for Data Catalog (legacy)Alation for Data Catalog (new)Tableau for Data Viz for BI reportsDatabricks SQL for Data Viz (new)Grafana for RT/NRT Data VizWe are adopting Data Mesh culture to:Define data domainsDistribute data teams into small cells to guarantee data domainsBuild Data as Products to feed BU and AI model needsInfrastructure that enables the development of new Data as Products (data infra as a platform)Centralized data governance to guarantee security, semantic and data modeling best practices to reduce data redundancy, etc.In summary, the Data Mesh culture has been fundamental in building a distributed and scalable data architecture at iFood. The daily work of Data Engineers involves ingesting and transforming data from various sources, including continuous collaboration with business, Engineering, and Product teams. The data team plays a strategic role in the company, helping to drive business growth and success.

Joinville, Santa Catarina

Architecting data pipelines to enrich Data Lakes and Data Warehouses to be usable for anyone on company. These data can be useful also to create new insights and new data products with machine learning models producing artificial intelligence on edge.Responsible for:- Build an entire framework for ingestion RDBMS to Data Lake using Airflow, Scala, Spark, Hadoop and AWS EMR.- Build a Postgres Change Data Capture service with wal2json plugin using Python, Docker and Kubernetes.- Build a JavaScript library to capture actions and clickstreams from UI application and stream this events to be used to analyse user experience and monitoring new features from applications.High experience with:AWS:IAM, EC2, Lambda, Kinesis, Glue, EMR, Athena, QuickSight, ECR, S3.GCP:IAM, Cloud Transfer Service, Cloud Storage, BigQuery, Data Studio.Technical Stacks:- Docker, Kubernetes, Python, Terraform, Spark, Scala, Hadoop, Sqoop, Airflow, Pentaho, Grafana, Metabase.

Joinville E Região, Brasil

Software Architect responsable to architect and evaluate new demands technically, improve, maintain and deploy new features on diili IoT plataform and Apps.High experience with:AWS IoT, AWS DynamoDB (NoSQL DB), AWS Lambda, AWS API Gateway, AWS Kinesis Stream, AWS Kinesis Firehose, AWS Redis Cache, AWS Route 53, AWS Cloudfront, AWS S3, AWS Glue, AWS Athena, AWS QuickSight, Google BigQuery, AWS Cloudwatch, AWS Codecommit (Git repository), AWS CodeBuild, AWS CodePipeline, AWS ECR, AWS SQS, AWS EC2,Serverless architecture, Event-driven architecture,MQTT Protocol, Elasticsearch/ Kibana, Android (Java), React and React Native, NodeJS, Docker, Python 2.7/ 3.6.diili is an IoT plataform that transforms the way you handle your business. You do not need to monitor data, because diili delivers intelligence with accuracy and relevance, anticipating your needs.Your refrigeration equipment turns into your brand's intelligence hubs so you can focus in what really matters in your business. Let your equipment work for you, lowering your operating costs and providing inteligence about your potential sales.diili.com.br

Joinville E Região, Brasil

Planning product backlog of framework solutions for ERP Datasul and Logix using agile software development methodologies aiming small deliveries.2 years leading a team of 13 software engineers.Over the 2017, I was the Product Owner of the Datasul ERP application server technology evolution project. Capturing more customer priority needs, along with great opportunities for code reengineering improvements using DDD. I also organized the backlog between needs for improvements and bug fixes, defined work Sprints and monitored the progress of deliveries of each Sprints and Releases. In addition, I also served as the team's technical leader to support and help define the scope of work of each story and also assisted the team in the development of the analysis, coding and unit testing of Sprints stories.

Joinville E Região, Brasil

Research and development of framework solutions for ERP Datasul with HTML 5, JavaScript, CSS 3, JEE, Adobe Flex and Progress OpenEdge technologies.High experience with JEE development, using best practices of OO and DDD.High experience with good Web Services (SOAP and RESTFul) development practices.Experience with development of web applications rich in modern JavaScript development practices, using latest market libraries and frameworks (AngularJS, jQuery, Twitter Bootstrap, etc.) with latest application servers such as JBoss Wildfly, Apache Tomcat, NodeJS, etc.

Joinville E Região, Brasil

Analysis and development of customized solutions for Datasul ERP (Datasul HCM, Datasul EMS 2, Datasul EMS 5 and Datasul 11).Responsible for Subversion administration of company..

Joinville E Região, Brasil

Responsible for the creation of a web system in the area of LPG (Liquefied Petroleum Gas) transport of gas that monitors the location of the fleet, the route taken for the distribution, the amount of gas used to supply the gas distributors, the speed of the trucks in real time, among other features, using technologies such as Java, Flex and HTML, with application server JBoss 4.2.3.GA.Oracle database administration.

Joinville E Região, Brasil

Analysis and development of manufacture solutions for Datasul ERP (Datasul EMS 2 and Datasul 11) using JEE, Flex and Progress OpenEdge technologies.

Joinville E Região, Brasil

Analysis and development of financial applications for Datasul ERP (Datasul EMS 5 and Datasul 11) using JEE, Flex and Progress OpenEdge technologies.

Bacharelado Em Sistemas De Informação, Bacharelado Em Sistemas De Informação

Técnico Em Informática, Information Technology