With over 15 years of experience in the Information Technology sector, a seasoned professional with a wealth of knowledge in Oracle PL/SQL language as well as Oracle Forms and Reports, primarily engaging in maintenance and development activities. Actively contributed to integration projects, system maintenance, and the creation of documentation, functional specifications, and test cases. Demonstrated leadership by managing a WMS and TMS Support team for over five years, overseeing SLA and KPI management, team management, incident management, and change management, with a specific focus on Oracle platforms across the Logistics, Finance, Insurance, and Airlines sectors.

Experienced full-stack developer with more than eight years dedicated to the creation of applications, APIs, and web services characterized by clean architecture, code readability, and structured patterns. Exhibits a strong inclination towards application development, process automation, and data analysis. Maintains a profound interest in leveraging technology for societal benefit.

Software Engineer with a focus on frontend development and extensive industry experience. Demonstrates strong communication skills and a preference for collaborative teamwork. Capable of rapid situational analysis, devising effective solutions, and contributing to their implementation. Advocates for the importance of a unified team purpose to foster a healthy work environment. Exhibits proactiveness, curiosity, and diligence, always ready to provide and seek assistance. A quick learner who emphasizes the importance of continuous practice and discipline, engaging in daily study to remain market-relevant. While specializing in frontend development with React, maintains a flexible learning attitude towards mastering additional languages and frameworks as needed.

Responsible for data analysis and the creation of statistical studies, utilizing various tools to enhance processes through effective management. Proficient in leading standardization (SDCA) and improvement (PDCA) initiatives, with a solid grounding in Lean Manufacturing and Six Sigma methodologies. Experienced in conducting training sessions, implementing quality management tools, and developing goal-tracking mechanisms in collaboration with stakeholders. Currently specialized in DataOps, focusing on automating business processes, fostering collaboration between development teams, and integrating data via ETL/ELT processes for analytical tool utilization. The objective is to optimize data pipeline performance, reduce information cycle time, enforce efficient process governance, and provide strategic insights to inform decision-making.

Competencies include expertise in statistics and machine learning, encompassing descriptive analysis, hypothesis testing (A/B), and both supervised and unsupervised machine learning. Proficient with data pipeline technologies such as MySQL, Postgres, Redshift, Snowflake, BigQuery, Airbyte, Airflow, Terraform, and DBT. Skilled in programming languages including Python, R, DAX, VBA, and M Language. Knowledgeable in big data technologies like Hadoop, Spark, and HDFS, and cloud platforms including AWS and Google Cloud. Experience with CRM and ERP systems, specifically Salesforce and SAP, and adept in data visualization tools such as PowerBI, Looker Studio, Streamlit, and Excel.

Enthusiasm and expertise in software development underpin a robust academic foundation from PUC MINAS in Information Systems, highlighted by significant contributions to the development and implementation of a Robotic Process Automation (RPA) system. Proficiency in programming languages such as Python, C++, and C# demonstrates a self-motivated drive for continuous learning and the pursuit of technical challenges. 

Interest spans software development, cybersecurity, and hardware, with an aim to apply this diversified skill set to dynamic projects. Education at PUC MINAS integrates theoretical knowledge with practical application, enhancing both academic and practical competencies. Strong interpersonal skills facilitate efficient collaboration and performance under pressure within team environments. 

A commitment to professional growth is evident through a focus on skill enhancement and the application of best practices, with engagement in up-to-date learning via technology channels, podcasts, and industry influencers. Core values of collaboration, honesty, and companionship guide professional efforts.

Active in web development since January 2009, currently occupying the position of Front-end Tech Lead. Proficient in technologies such as HTML5, CSS3, SASS, JavaScript, ReactJS, NodeJS, GraphQL, and GIT, with substantial knowledge and experience in the VTEX platform. Significant challenges addressed include designing the architecture for a scalable, automated, and fully plug-and-play D2C operation, ensuring swift and secure launches across various countries within the VTEX IO platform.


Possessing over a decade of experience in the IT sector, with a focus on IP CCTV monitoring, access control, and entrepreneurship, I have cultivated a profound expertise in the science and technology domain. My academic journey includes professional certifications in Data Science from esteemed institutions like IBM, Stanford University, and Deep Learning.AI, enriching my knowledge base under the guidance of renowned experts such as Andrew Ng and engineers from Google. Renowned for delivering meticulous work with unwavering dedication, I continuously seek knowledge and experiences to enhance both my professional capabilities and personal growth. Presently, I am engaged as a full-time data scientist, contributing to the field in both professional and academic capacities. Additionally, my role extends to volunteering as a Mentor in Machine Learning courses at Stanford University and participating as an Alpha Tester in various Deep Learning.AI courses.

Frontend Developer with over four years of expertise in web and mobile application development, specializing in technologies such as React, React Native, Next.js, TypeScript, and Styled Components. Proven ability to deliver high-quality projects while continuously improving technical skills and keeping abreast of the latest trends in frontend development. Adopts an agile and collaborative approach to effectively meet end-user needs and expectations. Demonstrates strong team-working experience, contributing significantly to complex and large-scale projects.

Microsoft Azure Cosmos DB is a globally distributed, multi-model database service designed for high availability, low latency, and scalability. It supports various data models such as document, key-value, graph, and column-family, and offers comprehensive SLAs for throughput, latency, availability, and consistency.

A Microsoft Azure Cosmos DB expert must have skills in data modeling, partitioning strategies, and indexing within Cosmos DB. They should be proficient in writing and optimizing queries using SQL, JavaScript, or other supported APIs. Knowledge of consistency models, throughput provisioning, and global distribution is essential. Familiarity with Azure services and integration capabilities is also crucial.

How to hire a Microsoft Azure Cosmos Db expert

Microsoft Azure Cosmos DB was introduced by Microsoft in May 2017 as an evolution of its earlier DocumentDB service. It was developed to address the need for a globally distributed, multi-model database capable of providing high availability, low latency, and seamless scalability across multiple regions.

About Microsoft Azure Cosmos Db

Strengths of Microsoft Azure Cosmos DB include global distribution, low latency, high availability, and support for multiple data models. Weaknesses include high cost and complexity in pricing. Competitors include 

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