Holds a degree in Computer Engineering from PUCPR, with over four years of experience in a Business Operations role specializing in Oracle SQL. Subsequently transitioned to a Business Analyst position within the oil sector, where responsibilities included working with SQL Server, Power BI, MS Azure, and implementing Scrum methodology. Additionally, managed a client portfolio, ensuring efficient Order to Cash process flow through SAP SD.

Emiliano has over ten years of experience as a Data Analyst across diverse industries, including finance, telecommunications, and gaming.

Data Analyst with over three years of experience, transitioning to a career in development. This professional background includes significant involvement in various startup projects, leading to a strong proficiency in web scraping, object-oriented programming (OOP), Python, SQL, and R. Expertise extends to major Python web development frameworks, including Django, Flask, and FastAPI. Additional skills encompass JavaScript, HTML, CSS, and version control using GIT. Dedication to continuous learning and a passion for programming concepts are evident, with a focus on producing clean, readable, and scalable code.

Management of the entire project domain is conducted by utilizing expertise to elevate the performance of teams, including developers, designers, product owners, and support staff. This is achieved through the establishment of effective processes, motivation strategies, and strategic decision-making. Additionally, performance data analysis is conducted to assess the department's efficiency, project progress, and customer satisfaction. Proficiency in multiple languages enables support for international clients.

A seasoned professional with over a decade of expertise in Procurement, Supply Chain, Purchasing, and Logistics, specializing in problem-solving and data analysis, this candidate demonstrates significant proficiency in areas such as Materials Planning and Inventory Management. With a robust skill set in Purchasing processes, Supplier Assessment, and KPI reporting, the individual has successfully implemented key projects that enhanced operational efficiency, including the restructuring of reporting protocols for federal compliance and the establishment of a Transportation Control Tower project aimed at cost reduction. The candidate possesses advanced knowledge of relevant software tools including SAP ECC MM and SD, Power BI, and SQL, bolstered by a solid educational background in Logistics and Port Management. Expertise in Lean and Six Sigma methodologies further underscores a commitment to continuous improvement and optimal resource utilization.

An experienced Data Analyst with a five-year background specializes in relational database management, data visualization, and data science. Proficiencies include SQL Server, PostgreSQL, Excel, Power BI, and Python. Skilled in multiple programming languages such as Python, Java, C, and C++, with a keen interest in interdisciplinary projects focused on operational efficiency and process automation.

A finance management graduate with a postgraduate degree in Applied Statistics, currently pursuing an MBA in Data Science and Analytics, possesses over a decade of expertise in data analysis and business intelligence. The career trajectory includes leadership roles that focus on improving operational efficiency through financial analysis of projects and budget development. Proficient in advanced statistical techniques, including multivariate analysis and machine learning methods such as Random Forest, Logistic/Linear Regression, NLP, and PCA. Recognized for significant contributions using analytical tools like Tableau, Power BI, and Python, while holding multiple professional certifications, including Project Management Professional and Lean Six Sigma Black Belt. Demonstrates a strong capacity for utilizing data-driven insights to enhance decision-making processes and foster continuous improvement across various organizational levels.

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.

Reveal (By Infragistics) is a business intelligence tool that enables users to create, view, and share data visualizations and dashboards. It provides an intuitive interface for data analysis, allowing users to connect to various data sources, perform real-time analytics, and generate insights to support decision-making processes.

A Reveal expert must possess skills in data visualization, dashboard creation, and data integration. Proficiency in working with various data sources, understanding of real-time analytics, and experience with SQL for querying databases are essential. Knowledge of API integrations and familiarity with cloud services can also be beneficial.

How to hire a Reveal (By Infragistics) expert

Reveal (By Infragistics) was developed as a business intelligence solution to address the need for accessible and user-friendly data analytics tools. It aimed to empower users across different industries to easily create and share interactive dashboards and visualizations. The platform was designed to simplify data analysis, making it more approachable for non-technical users.

About Reveal (By Infragistics)

Reveal's strengths include its user-friendly interface, real-time data analytics, and seamless integration with various data sources. Weaknesses may involve limited advanced analytics features compared to some competitors. Competitors include 

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About Reveal (By Infragistics)

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