Infor Birst

Data Specialist with over twelve years of experience in major retail and service industries, offering a robust foundation in team leadership and commercial planning. Extensive experience as a Supervisor in Sales Front has imparted a broad business perspective and strong leadership abilities. Currently functioning as a Market Intelligence Specialist in a Market Insights cell, leveraging expertise in modeling, ETL, ELT, Big Data technologies, and various data analysis tools to provide valuable insights for executives and contribute to data monetization initiatives. Proficient in SQL (Oracle), HQL (Hive), Alteryx, Tableau, Excel, and Python.

Professional with six years of experience in Human Resources, encompassing roles in multinational companies across various sectors, including Retail, Wellness, and Finance. Held positions as an HR Business Partner and in Senior People Analytics, focusing on supporting HR leaders in data collection and analysis to inform business decisions and solutions.

Possesses extensive expertise in leveraging data-driven insights to formulate HR strategies, automate processes, enhance employee engagement, and optimize workforce performance through advanced analytics tools such as BI, Excel, and Python. Adept at utilizing these tools to address complex HR challenges.

A passionate advocate for fostering a data-informed and data-driven culture, with a commitment to having a positive organizational impact by standardizing descriptive, quantitative, and predictive analysis to support leadership.

Graduate in Business Administration and Systems Analysis with seven years of experience in data generation and information provision, currently serving as a data specialist within the MIS team. Pursuing an MBA in Big Data, the professional has substantial expertise in SQL Transact using both Oracle and SQL Server. Proficient in developing ETLs with SSIS and Pentaho, and experienced in Data Visualization using PowerBI and Tableau. Additionally, possesses some familiarity with Alteryx, SAS, PowerCenter, Qlikview, and SPSS Modeler.

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.

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 data analysis professional with a degree in Data Science and ongoing postgraduate studies in Artificial Intelligence, possessing extensive knowledge in programming languages such as Python, SQL, and R. Experienced in developing innovative solutions utilizing relational and NoSQL database systems like PostgreSQL, MySQL, and MongoDB. Proficient in data visualization tools such as PowerBI and Tableau, with a strong focus on Machine Learning, Natural Language Processing, and AI applications to enhance process optimization and data-driven decision-making. Demonstrates analytical and creative skills in integrating and automating processes, alongside experience in building machine learning models and ensuring data integrity through collaboration with compliance teams.

Data Analyst with two years of experience specializing in data cleaning, dashboard construction, and operational results analysis for delivery personnel. Currently enhancing skills in data analysis using Python through advanced coursework. Practical training includes ongoing courses in data analytics. Demonstrates proficiency in SQL and Tableau for daily data analytics tasks. Resides in Osasco - SP with one child.

Specializing in developing robust solutions with Python, expertise is evident in frameworks such as Flask, FastAPI, and Django, alongside comprehensive skills in database management systems like MongoDB, MariaDB, PostgreSQL, and DB2. Proficiency in Docker and Kubernetes for containerization technologies and experience on the OpenShift platform enhances the ability to efficiently manage container applications, incorporating robust continuous integration and delivery (CI/CD).

With an academic background in Electrical Engineering from the University of Araraquara and ongoing studies in Data Science at UNIVESP, the skillset includes the application of Continuous Integration (CI) and Continuous Delivery (CD) practices using Jenkins for workflow automation. There is significant competency in inter-service communication through RabbitMQ and extensive experience with data ETL processes utilizing IBM DataStage.

Involvement in Artificial Intelligence and Machine Learning projects demonstrates the use of libraries such as numpy, pandas, and sklearn, as well as frameworks including TensorFlow, Keras, Yolo, OpenCV, Tesseract, and Paddle to develop innovative data-driven solutions. Additionally, translating complex insights into accessible information involves creating interactive dashboards with Tableau and Power BI to facilitate data-based decision-making.

A technology innovation enthusiast with a passion for new challenges, this professional aims to apply advanced technical knowledge and collaborate with teams to drive success in transformative projects.