PipelineDeals Mobile

A mechanical engineering graduate specializing in identifying opportunities for procedural improvement and optimization, with a focus on developing data-driven solutions and generating quality indicators. Expertise includes implementing data audits and formulating strategic insights and planning. Demonstrates resilience in adapting to organizational realities. Currently serves as a Data Analyst, innovating in indicator generation, developing and maintaining data pipelines, integrating technology into team processes, and providing training for team members. Experience spans tools and platforms such as Continuous Improvement methodologies, Power BI, Data Studio (Looker), Excel/VBA, R, Python, Salesforce, SQL, and Business Intelligence, enabling the resolution of complex business and management challenges with advanced solutions.

A Business Analyst with extensive expertise in leading sales governance initiatives and developing effective sales processes to enhance inbound and outbound sales, including systems for lead nurturing, capture, and selection. Successfully created innovative products by integrating disparate services into cohesive and streamlined solutions.

In the capacity of Product Manager and Owner, responsibilities encompassed product conception through comprehensive market research and surveys, as well as overseeing development, management, and maintenance teams.

Proficient in SQL and Python.

An accomplished professional with a decade of experience specializing in the generation of comprehensive management reports. Expertise encompasses detailed analysis, database structuring, and programming utilizing VBA, Excel, and Access. Proficiencies include formulating documentation tailored to system adaptations based on client requirements, with a strong focus on problem-solving. This involves meticulous planning, execution, and oversight of various improvement projects.

Data Engineer leveraging data for practical solutions. Holder of a degree in Systems Analysis and Development from Faculdade de Informática e Administração Paulista. Proficient in data processing with Apache Spark, Python, SQL, and the AWS ecosystem, including EMR, S3, EC2, Lambda, Glue, Athena, Redshift, DynamoDB, and ECS. Hands-on experience includes Salesforce, Databricks, Airflow, Apache NiFi, and automation and CI/CD tools such as CloudFormation and Jenkins. Skilled in creating and monitoring dashboards with Grafana, developing chatbots, IoT technologies, and using data visualization tools like Quicksight, Qlik, PowerBI, and Tableau. Familiar with Agile methodologies. AWS Developer - Associate certified and currently pursuing AWS Data Engineer - Associate certification. Actively improving English communication skills with confidence in listening, reading, and writing.

A Data Scientist in training with a degree in Actuarial Science obtained in 2022. Possesses practical experience as a data analyst, demonstrating proficiency in SQL, Python, Numpy, Pandas, and Seaborn. Additional expertise includes the CRISP-DM methodology, Statistics, Mathematics, PySpark, and Azure. Noted for strong collaboration, effective teamwork, and problem-solving abilities.

Software Engineer with expertise in leading projects utilizing React.js and Java. Possesses three years of experience in developing and implementing Salesforce CRM solutions.

Software Developer with an extensive background in Computer Science since 2014, specializing in firmware cybersecurity, data science, cloud computing, Salesforce, and embedded systems. Development of low-level applications for hardware component control, including initialization, communication, and security. Proficiency in C, UEFI, BIOS, EDK2, cryptography, firmware development, and drivers, particularly within the sphere of cybersecurity engineering to safeguard computer systems.

As a Data Scientist and Data Engineer, the focus has been on statistical data modeling, analysis, and maintaining data pipelines. Expertise in Spark, Python, Docker technologies and serverless architectures using AWS services like Glue, Lambda, Amazon S3, EMR, and SKS for big data analytics.

Contributions as an R&D developer include the creation of new BIOS functionalities aimed at managing hardware components of devices while ensuring the communication of potential hardware issues to operating systems and manufacturers. Application development for hardware diagnostics and firmware management is also within the expertise.

Experience within an innovation team on Industry 4.0 projects includes the implementation of new ideas using embedded systems and IoT, from development and lab testing to production deployment. This includes the review of technical specifications and documentation writing. Salesforce application development using Apex language is also part of the skill set.

Developed new features for Point-of-Sale (POS) terminal applications and provided support and bug fixes for new system versions, utilizing skills in C, C++, and Android development tailored towards POS system enhancements.

Boasting a cumulative three-year tenure in the technology sector, encompassing an initial internship and subsequent two years of experience as a systems analyst, the candidate has recently engaged in a project involving pivotal market technologies. This project spans critical components such as AWS, Salesforce, Azure, and other DevOps tools.