A Data Engineer with four years of experience in Engineering and Data Analysis, specializing in converting data into actionable insights across various business domains such as Sales, Finance, Marketing, Customer Success, Governance, and Product. Expertise spans the entire data lifecycle, including extraction, preparation, analysis, and providing recommendations to inform business decisions.

Proficient in designing data pipelines utilizing Python (PySpark) and SQL on Databricks for data ingestion and transformation, along with implementing Big Data solutions on Delta Lake, Data Lake, and Data Warehouse on Azure and AWS cloud platforms. Experienced in developing ETL pipeline routines using Data Factory, custom Python scripts, AWS Lambda, and Airflow, and adept at integrating data from multiple sources like APIs, relational databases (PostgresSQL, MySQL, Oracle, SQL Server, MariaDB, Cassandra), and storage solutions (Azure Data Lake Gen 2, S3). Additionally, proficient in handling various file formats such as Parquet, Delta, CSV, Excel, and JSON.

Demonstrated capability in data analysis, crafting queries in PySpark and SQL to generate reports and dashboards using tools like PowerBI, Tableau, Metabase, and Streamlit. Well-versed in data contracts and versioning scripts within DevOps CI/CD pipelines, and experienced in agile Scrum methodologies within collaborative squad environments.

Other technical proficiencies include Git, Docker, with foundational knowledge of Kubernetes (K8), Terraform, and Jenkins.

A professional in Information Technology with over 12 years of expertise, specializing in Project Management and Product Management. Extensive experience contributing to the success of organizations through the implementation of comprehensive processes, adept problem-solving, and fostering innovation. Proficient in leading teams across varying levels of maturity, ensuring integration of technology and digital transformation within diverse business sectors.

Demonstrated capability in managing multidisciplinary teams to achieve and exceed challenging objectives, irrespective of technical complexity, by syncopating development cycles with planned deliverables.

Successfully managed a System Modernization Project, surpassing targets by 5% through modernizing 15% more legacy systems than initially planned, transitioning from Mainframe systems to enhance maintenance efficiency and reduce costs.

As a Delivery Manager, achieved a significant reduction of 50% in the SAP Basis team's backlog within four months, improving operational efficiency and accelerating service delivery timelines.

Implemented a Kaizen project within the support team, resulting in savings of R$100,000 by internalizing the processes for updating the ECM Hyland Onbase system.

Proven record of establishing departments, training teams, and implementing processes to maintain robust and scalable operations. Eager to further refine management capabilities, underscored by participation in professional development courses such as Storytelling for Business, Digital Business Metrics, Leadership Training, and Scrum Master - PSM I Preparation.

Professional with extensive experience in Performance, Strategy, Business Excellence, and Data across diverse sectors, including national and multinational companies, startups, and NGOs. Specialized in overseeing strategic and multifunctional projects through various stages, from data collection and processing to reporting and the creation of intelligent dashboards. Expertise includes process management and governance, PowerBI, and Digital Transformation Project Management. Proficient in SQL, T-SQL, SSIS, SSAS, Apache Spark (Databricks), IBM Cognos, Tableau, and Azure, with substantial experience in GCP cloud services, Azure, and AWS. Competent in employing Airflow and adept in both agile and traditional project management methodologies. Experienced in developing data ingestion APIs utilizing REST, SOAP, HTTP, FTP, and SFTP. Proven track record as a team leader and manager, with a notable history of executing Machine Learning projects using Python.

A Data Analyst endowed with a sharp focus on deriving valuable insights and addressing business challenges to augment organizational value. Possesses expertise in leveraging Excel and Google Sheets to increase efficiency in statistical analysis. Demonstrates proficiency in SQL, Python, and R for gathering and structuring extensive datasets, coupled with adeptness in employing Tableau, Power BI, and Looker Studio for effective data visualization.

A qualified professional with over 10 years of experience in information management, specializing in identifying gaps through statistical analysis to inform decision-making. Proficient in BI tools such as Power BI and Tableau, as well as programming languages including R and SQL, alongside advanced Excel capabilities. Demonstrates extensive experience in analyzing sales processes (Sell In and Sell Out), pricing strategies, strategic planning, and enhancing business routines across various regions, channels, and products/categories. Displays a strong aptitude for rapid learning of new activities and technologies, continuously updating knowledge on market trends and innovations.

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.

With nine years of experience in data science and four years serving as Head of Data Science, this professional excels in leveraging artificial intelligence, advanced machine learning, and deep learning to tackle complex business challenges. Demonstrated expertise in programming languages such as Python, R, and SQL, coupled with proficiency in data visualization tools like Tableau, Power BI, and Data Studio, empowers the ability to transform raw data into actionable insights. Notable achievements include the development of a predictive credit scoring model and leading data initiatives that enhance strategic decision-making, optimize performance, and drive measurable business outcomes.

A seasoned Data Visualization specialist with expertise beginning in 2013, demonstrating a solid foundation through the early use of Excel. In 2017, the focus expanded to the realm of Business Intelligence, encompassing advanced skills in Tableau and Power BI. Known for a problem-solving mindset and a determination to traverse tool limitations or data complexities, ensuring information is rendered visually and accessibly. The core passion lies in transforming raw data into comprehensible insights, enabling informed decision-making for all stakeholders.

Jaspersoft is a Business Intelligence (BI) suite that provides tools for data reporting, analysis, and integration. It enables users to create, distribute, and manage reports and dashboards, allowing for comprehensive data visualization and decision-making.

A Jaspersoft expert must have skills in SQL, Java, and XML. Proficiency in JasperReports and iReport Designer is essential. Knowledge of data sources, ETL processes, and web services integration is also crucial.

How to hire a Jaspersoft expert

Jaspersoft was created in 2001 to address the need for open-source reporting tools. It evolved over time to include a full suite of BI tools, providing capabilities for reporting, data analysis, and integration. The platform aimed to offer a cost-effective alternative to proprietary BI solutions.

About Jaspersoft

Strengths of Jaspersoft include its open-source nature, flexibility, and extensive customization options. Weaknesses involve a steep learning curve and potentially complex setup. Competitors include 

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About Jaspersoft

How to hire a Jaspersoft expert

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