SevOne Data Platform

A skilled developer with a passion for creativity and storytelling, this candidate excels in collaborative environments and enhances team dynamics. Holding a degree in Digital Games, they are currently pursuing specialization in game and film scripting while expanding their knowledge in Full Stack Web Development. Proficient in both frontend and backend technologies, the candidate demonstrates expertise in REACT, HTML, JavaScript, Python, REACT Native, CSS, MongoDB, SQL, Tableau, and more, along with familiarity in GIT, GitHub, Scrum, and Agile methodologies. Their professional experience includes a role as a Data Analyst, where they acted as a Tableau developer and server administrator, integrating SQL systems with Tableau for national-scale projects in Brazil and Peru, as well as prior experience in sales support and system registration in various industries.

Holding the position of SR Processes Analyst, my professional background encompasses five years of experience specializing in Databases and Software Engineering. My academic endeavors in Natural Language Processing (NLP) and topic mapping, showcased in projects such as [mapping topics](https://github.com/klemeragm/lda_academic_work), have utilized NLP concepts to cluster historical pieces based on similarity.

During my undergraduate studies, I actively engaged in multidisciplinary projects and participated in a GovTech startup, where I developed organizational dashboards and revamped financial and big data analytics for thousands of public servers.

In subsequent roles, I focused on Software as a Service, managing extensive databases of intellectual property, including trademarks and patents. Concurrently, I have delved into machine learning with an emphasis on Large Language Models (LLMs), executing various related projects.

My technical skill set includes web development using C#, Python, and Node.js, as well as front-end development technologies like HTML, CSS, JavaScript, and NextJS. Further details on my professional journey and projects can be found at [my portfolio](https://klemeragm.github.io/my-cv/).

A seasoned Data Engineer/Architect with 15 years of IT experience, including a decade in Business Intelligence (BI), Data Analytics, and Data Engineering. Educational background includes a degree in Information Systems from Anhembi Morumbi University and a postgraduate degree in Big Data (Data Science) from FIAP. Currently positioned as a Senior Data Engineer/Specialist, responsible for leading technical project aspects focused on Data & Analytics, Data Migration, Data Governance, and BI. Committed to delivering efficient, scalable, and reusable solutions adhering to industry best practices, facilitating companies in achieving goals and deriving insights through reliable data analysis, key performance indicators, and business-aligned metrics.

Proficiency encompasses over ten years in Data Analytics and ETL processes, comprehensive expertise in relational databases, and eight years with BI tools. Possesses over four years of experience in data engineering and cloud data platforms, with advanced capabilities in Spark and Python, and significant experience in non-relational databases, CI/CD tools, and IaaS platforms. Well-versed in AWS and Azure services for Big Data and Data Analytics.

Technological expertise covers a broad range of tools and platforms, including Alteryx, SSIS, SQL Server, Oracle, Hadoop, Spark (Python), Apache NiFi, Kafka, Airflow, and Microsoft Azure services like Data Lake Storage, Functions, and Synapse Analytics. Competent in AWS services including Athena, DynamoDB, EC2, EMR, Glue, IAM, Kinesis, Lambda, RDS, Redshift, SDLF, SQS, S3, and VPC. Proficient with BI tools such as QlikView, PowerBI, and Tableau, and IaaS solutions like Terraform. Experienced with CI/CD systems including GitHub and Azure DevOps. Dedicated to aiding organizations in improved data governance and fostering a culture that drives innovation through informed decision-making processes, ensuring secure storage and transportation of information.

This candidate is a seasoned professional specializing in cloud computing, microservices, and serverless architectures, with a strong proficiency in AWS technologies such as Lambdas, API Gateway, and AppSync. Demonstrated expertise includes leading the development of sophisticated systems like Evocities, an intelligent city management platform, and Evoview, a machine learning-based video analysis tool. Equipped with advanced knowledge in machine learning, this individual excels at integrating artificial intelligence into diverse projects, enhancing functionality and performance.

Specialist in BI/Analytics projects with extensive experience in SQL across various platforms, including SQL Server, PostgreSQL, BigQuery, and MySQL. Proficient in Power BI, utilizing M for data modeling and DAX for advanced function creation. Certified as a Tableau Business Intelligence Analyst, with expertise in Tableau Desktop and Looker Data Studio. Currently focusing on Software Engineering, with a particular interest in data visualization using D3.js.

Data Scientist holding a Bachelor's degree in Physics and a degree in Industrial Automation, specializing in SQL databases, Google Cloud Platform, Tableau, Power BI, and primarily Python. Engages in the application of artificial intelligence techniques, statistical analysis, and machine learning to develop and maintain predictive and optimization models for resolving business challenges, from data extraction to production deployment. Possesses extensive experience in dashboard creation and task automation within data and analytics teams.

With 14 years of expertise in Business Intelligence and Analytics and an additional 19 years in Information Technology, I specialize in the development and deployment of Data Warehouses, ETL processes, data analysis, and the creation of comprehensive reports and dashboards. My professional career is marked by a commitment to transforming complex data into actionable insights, thereby supporting strategic decision-making and enhancing organizational performance. Significant contributions have been made to various projects through the application of technical skills and extensive knowledge of BI tools.

Continual professional development is a priority, staying abreast of advancements in BI and Analytics technologies and methodologies. This dedication ensures the delivery of innovative, efficient solutions tailored to the evolving needs of the business environment.

Technical proficiencies include:

In Business Intelligence, expertise spans tools like MicroStrategy, Tableau, OBIEE, Oracle Retail Merchandise Analytics (ORMA), Oracle Retail Data Warehouse (ORDW), and Microsoft Analysis Services (Cubes). In Extract, Transform, and Load (ETL), skills encompass Oracle Data Integrator (ODI) and SQL Server Integration Services (SSIS). Proficiency in databases includes working knowledge of Snowflake, Oracle, MySQL, Microsoft SQL Server, and PostgreSQL.

A data engineer and business intelligence analyst with over four years of experience in the industry. Gained foundational knowledge through academic pursuits and further honed technical skills through additional coursework, lectures, and the completion of personal projects. Demonstrates proficiency in programming languages including Python, R, Scala, and Java, and possesses a thorough understanding of machine learning techniques and statistical modeling. Skilled in data visualization tools such as Power BI and Tableau, with extensive experience in ETL processes, big data technologies like Spark and Hadoop, and cloud platforms including Azure, AWS, and GCP. Adept in managing both SQL and NoSQL databases.