SQL Server Reporting Services

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.

Data Engineer with three years of experience specializing in the energy and financial sectors, complemented by one year of consultancy in Tableau. Expertise includes the utilization of Microsoft Azure cloud infrastructure for ETL/ELT processes, leveraging tools such as Python, Spark, SQL Server, Azure Synapse, Azure Data Factory, Databricks, and Pyspark. Proficient in constructing data lake architectures within the Azure Cloud environment and adept at developing and maintaining seamless data pipelines. Demonstrated capability in performance tuning for optimization, managing CI/CD processes using Git Actions, and a thorough understanding of both Agile Scrum and Waterfall methodologies. Skilled in data visualization tools, including Tableau and Power BI. Academic credentials include a Bachelor's degree in Information Systems.

Data analyst with over one year of professional experience in data analysis, demonstrating robust numerical and logical reasoning capabilities alongside a strong interest in programming and data manipulation. Primarily specializing in Power BI, the candidate has successfully led projects across diverse sectors, including retail, technology, and financial institutions. Proficient in data manipulation using Excel and SQL, the analyst is also acquainted with other Business Intelligence tools such as Tableau. Focused on leveraging data analysis and business intelligence to facilitate data-driven decision-making and support companies in achieving their strategic objectives.

An engineering graduate with expertise in data analysis, demonstrating a strong proficiency in Python, SQL, and Power BI. Experienced in ETL coding and the utilization of Streamlit through various projects, the individual emphasizes business problem-solving. Driven by curiosity and a constant pursuit of challenges, the focus remains on professional and project development.

Nicolas is a Data Analyst with five years of experience. He excels in constructing data pipelines using Databricks Lakehouse and is proficient in SQL, Python, Power BI, Snowflake, Looker, and Tableau.

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.

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.

A Systems Analyst specializing in client and supplier relations, with expertise in developing dashboards using the Tableau platform and proficient in SQL data manipulation. Skilled in IT process roles and well-versed in agile methodologies, including ITIL, SCRUM, and COBIT.