Jessica is a visual communication designer with 5 years of experience in UX/UI, mainly working with Javascript, CSS, HTML, Figma and Adobe with an emphasis in visual design interfaces.

A dual citizen of Portugal and Brazil, possessing six years of professional experience as a computer engineer in the domain of business intelligence. Expertise includes the development of business intelligence solutions, dashboard creation, data manipulation, and system integrations, with a keen analytical approach and a passion for data.

Academic credentials include a Bachelor's degree in Computer Engineering from Metodista University São Paulo (2018) and a Postgraduate degree in Data Science with a focus on Big Data Analytics from Mackenzie University São Paulo (2020). Professional certifications encompass Tableau Specialist (ID 999441) and Google Analytics (ID 53844274). Proficient in Power BI, Tableau, and Google Data Studio, with a working knowledge of QlikView, QlikSense, and SpotFire. Achieved multiple Business Intelligence badges from Tableau, namely Tableau Analyst, Developer, Author, Consumer, Data Scientist, Designer, and Executive Sponsor.

Proficient in advanced English, with ongoing coursework to further language skills. General competencies cover system engineering, documentation, electronic devices, computer networks, software architecture, and calculus. Extensive experience with ERP systems, data-driven decision-making, programming logic, MIS, UML, business intelligence requirements gathering, data mining, statistical analysis, data strategy, data collection, big data processing, and a range of analytical tools, including Microsoft Excel, Tableau Desktop, Google Data Studio, Qlik, Tableau Prep, Talend, Pentaho Data Integration, Looker, Power Query, and Tableau Public.

Database expertise includes MySQL, Oracle 11g/12g, SQL Server 2008/2016, HP Vertica, Amazon Redshift (AWS), Amazon Athena, Hadoop, Azure, and Databricks.

Eduardo is a System Administrator with 23 years of experience in the IT industry. Specializing in Windows environments, Eduardo's experience spans Active Directory, AWS, GCP, Microsoft technologies, VMware, and Kubernetes.

Product Manager with a technical foundation in computer engineering and an MBA in Business Management. With approximately four years of software development experience, expertise includes project management, client relations, and technical support. The diverse work experience in academia, finance, entertainment, and manufacturing sectors within both startups and large corporations has fostered adaptability to various professional environments and cultures.

A user-centric approach underscores the focus on product management, emphasizing the design of superior user experiences and effective problem-solving collaboration. Technical proficiency aids in devising practical solutions and anticipating potential issues during team projects.

Skills include drafting documentation and requirements, creating User Stories, engaging in Product Discovery, applying Agile methodologies such as Scrum and Kanban, making data-driven decisions, conducting A/B testing, and defining and tracking OKRs and KPIs. Additional competencies encompass low- to high-fidelity prototyping, MVPs, POCs, collaboration with UX designers, roadmap creation, and release management. Commonly used tools include Jira, Confluence, Atlas, Notion, Miro, Figma, Google Data Studio (Looker), Google Analytics, GitLab, and Planview.

In prior software engineering roles, responsibilities included embedded systems (C, C++, Bluetooth, Wifi, VHDL, MQTT), back-end development (Python, Java, Django, Clojure, GraphQL), front-end development (JavaScript, Polymer, Vaadin, Tailwind, Material UI), CI/CD pipelines (Docker, Kubernetes, Jenkins, GitLab CI, OpenShift), and data technologies (PostgreSQL, MySQL, MongoDB, BigQuery, BigTable, DataStudio, Apache NiFi, Elastic Stack, InfluxDB, Firebase, Grafana, IBM DB2). Additionally, experienced with cloud platforms (AWS, Google Cloud), video processing and DRM tools (FFmpeg, Widevine, Fairplay), various version control tools (GitLab, GitHub, Bitbucket), and audio-subtitle synchronization for movie streaming services.

Data Analyst with over 3 years of experience, specializing in data-driven business operations, strategies, and decision-making with a focus on product enhancement. Expertise encompasses mapping product flow, identifying key efficiency metrics, and translating data into actionable strategies for product improvement. Skilled in managing data pipelines, including determining necessary data sources for performance metrics tracking and implementing and maintaining pipelines using industry best practices from DBT. Technical proficiencies include SQL, DBT, Python, along with comprehensive experience in agile workflow processes, project management, and detailed data analysis and process automation. Competent in implementing data-centered strategies such as AB testing and performance analysis, which guide strategic decisions and enhance conversion rates. Demonstrated ability to lead and complete complex projects using platforms like Jira and Notion, ensuring optimized collaboration, thorough tracking, and timely project delivery.

A seasoned Product Designer with substantial experience in steering digital product development from ideation to delivery, demonstrating proficiency in establishing and overseeing Design Systems. The expertise encompasses the creation of SaaS products, managing design systems, conducting research, usability testing, drafting technical documentation, and proficiency in tools such as Figma and Adobe Creative Suite, with foundational skills in front-end implementation. Recent ventures include the development of financial market products tailored for insurance sales and inspections.

Educational background includes a Bachelor's degree in Advertising, an MBA with a focus on design leadership, and specialized training in UX research and research operations. Additional professional development includes a course on Scalable Design Systems in Figma.

Specialized skills encompass UX/UI design, product design, user research, interface design, prototyping, and usability testing. Proficient in the application of Design Thinking methodology and adept in leveraging tools such as Figma and PenPot. Additional competencies include data analysis, storytelling, communication with stakeholders and developers, teamwork, and problem-solving.

Product Designer (UX/UI) based in Curitiba with over seven years of experience in the digital field, specializing in crafting user-centric solutions through design thinking and user interface design. Proficient in prototyping and adept at facilitating informed design decisions that connect users and businesses. Dedicated to continuous professional development, particularly in design operations and Design Systems, with a goal of becoming a mentor and inspirational figure in the design industry.

A specialist in data collection, cleaning, and report generation and presentation with experience in serving multinational enterprises. Proficient in generating actionable insights by aligning audience engagement with strategic client objectives.

Stitch Data is a cloud-based ETL (Extract, Transform, Load) service that enables users to consolidate data from various sources into a data warehouse for analysis. It simplifies the process of integrating and managing data pipelines by automating data extraction, transformation, and loading tasks.

A Stitch Data expert must possess skills in SQL, data warehousing, ETL processes, and familiarity with cloud platforms such as AWS or Google Cloud. Proficiency in integrating various data sources and experience with API usage for data extraction are also essential.

How to hire a Stitch Data expert

Stitch Data was created in 2016 to address the need for a streamlined, automated ETL process for data integration. It aimed to simplify the consolidation of data from various sources into a centralized data warehouse, making it easier for businesses to perform analytics.

About Stitch Data

Strengths of Stitch Data included ease of use, quick setup, and a wide range of data source integrations. Weaknesses involved limited transformation capabilities and occasional performance issues with large datasets. Competitors included 

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