Hi, I'm a Brazilian Analytics engineer with more than 6 years of experience. The position I'm most confortable involve modeling data sets and developing end to end dashboards. I have experience with: Excel, PBI, SQL, AZURE, GCP, DATABRICKS and etc. I'm also certified in Microsoft Power BI and Databricks. I try my best to fulfill the needs, not only to satisfy my client but also to receive good recommendations and, consequently, gain more opportunities and feel happy. Let's data together?! :)

PROFILE Dynamic Senior Data & Analytics Engineer with over eight years of robust experience in designing and optimizing data solutions that drive business insights and operational efficiency. Proficient in leveraging advanced modern stack technologies such as AWS, Databricks and Snowflake to create scalable data pipelines and effective data models. Strong expertise in data visualization tools and methodologies ensures impactful reporting and decision-making support for stakeholders. A proven track record of collaborating with cross-functional teams to align data strategies with business objectives, fostering an environment of continuous improvement and innovation.

Data Analyst & Data Engineer with hands-on experience in transforming raw data into actionable insights and building reliable data pipelines. I help businesses clean, organize, and automate their data so they can make faster, smarter decisions. I specialize in: 1. Exploratory data analysis, dashboard development, and business intelligence reporting. 2. Designing and building ETL/ELT pipelines and data workflows. 3. SQL optimization, data modeling, and cloud data platform work. 4. Turning complex datasets into clear, visual reports that drive business results. I have worked on projects involving data cleaning, pipeline automation, and interactive dashboards that reduced manual reporting time and improved data accuracy. I’m comfortable working with both structured and semi-structured data and always focus on delivering clean, well-documented, and maintainable solutions.

I am a data engineer with four years of experience in extracting, transforming, and modeling data to generate actionable insights. My expertise lies in leveraging data to drive strategic decisions and improve business performance. I thrive in collaborative environments and enjoy working with cross-functional teams to solve complex problems. I aim to further develop my skills in analytics engineering and applied AI, staying at the forefront of technology to deliver innovative solutions. Whether you need to optimize existing datasets or create new data pipelines, I possess the technical skills and analytical mindset to help your business succeed. Let's connect and explore how I can contribute to your project.

Most data teams have an "untangle what grew organically for three years" problem. Snowflake access nobody can audit, two CRMs after an acquisition, a warehouse that drifted from the source of truth. I do the untangling. It's the part worth getting right, because once your documentation and data architecture are solid, everything else is easy. I'm a fractional data engineer with 10+ years in the field, most recently Lead Data Science Engineer at Cybrary (a B2B SaaS cybersecurity platform, available as a reference). I work with B2B SaaS companies that need senior data infrastructure work without the cost or commitment of a full-time hire. Where I'm strongest: - Salesforce migration and instance consolidation, including post-acquisition M&A consolidations: field mapping, dedupe, ID reconciliation, and reverse-ETL sync so your warehouse stays the source of truth through cutover. - Snowflake, governance and RBAC (role hierarchies, masking, cost attribution that survive team turnover), plus newer Cortex AI and Document AI pipelines for document parsing and entity extraction. - Data pipelines on GCP, Python, Cloud Composer/Airflow, dbt, Terraform-managed infrastructure. When the work is scoped I price it as a fixed fee so you carry no hourly risk; for open-ended infrastructure work I bill hourly. If you have a migration, a Snowflake environment that's gotten away from you, or a pipeline that needs to be made reliable, send me the details and I'll tell you honestly whether it's a fit and how I'd approach it.

I'm a Data Engineer experienced in building scalable ETL/ELT pipelines, data warehouses, and analytics platforms using PySpark, Databricks, Snowflake, AWS, and Apache Airflow. Whether you need to process large datasets, automate data workflows, migrate data to the cloud, or build analytics-ready data models, I can help. ✔ Build and optimize ETL/ELT pipelines using PySpark, Databricks, Airflow, and AWS ✔ Design data warehouses and dimensional models in Snowflake ✔ Develop dbt transformations, data quality checks, and monitoring frameworks ✔ Integrate REST APIs and automate data ingestion workflows ✔ Create analytics-ready datasets for Tableau, Power BI, and reporting solutions ✔ Implement CI/CD, Docker, and cloud-based data engineering best practices I focus on delivering reliable, scalable, and cost-effective data solutions with clear communication throughout the project. Let's discuss how I can help turn your data into actionable insights.

Data & Analytics Engineer with strong hands-on experience building cloud data platforms and delivering actionable insights. I create scalable pipelines, analytical datasets, and dashboards that turn raw data into clear, business-driven decisions. I help teams and clients transform complex data into reliable reporting, KPI tracking, and real-time analytics. - Skilled in SQL, Python, Spark, dbt, Airflow, Snowflake, Databricks, AWS, Azure, GCP, Power BI, and Tableau. - Full project management from start to finish, delivering end-to-end data solutions - Exceptional communication skills complement a strong technical foundation

Senior Data Consultant with 8+ years of experience designing and delivering enterprise-scale cloud data platforms for global organizations including DHL, Deloitte, McKinsey, Sanofi, MSD, ASDA (Walmart), Organon and Edwards Lifesciences. Specialized in Snowflake, Azure, AWS, dbt, Data Vault 2.0 and Python, with a strong combination of hands-on engineering, solution architecture and technical leadership. Experienced in building greenfield data platforms, modernizing legacy environments, implementing AI-enabled data solutions, optimizing large-scale analytical workloads and establishing engineering standards for high-performing teams. Comfortable working across the full project lifecycle—from requirements gathering and architecture design to implementation, automation, performance tuning and production support—while collaborating closely with engineering teams, business stakeholders and executive leadership. Core Expertise -Enterprise Data Platform Architecture -Snowflake & Modern Data Stack -Microsoft Azure & Azure Data Factory -Amazon Web Services (AWS) -dbt & WhereScape Automation -Python & SQL Development -Data Vault 2.0, Lakehouse & Dimensional Modeling -Databricks & Apache Airflow -AI Data Engineering & LLM Integrations -Data Governance & Regulatory Compliance -Performance Optimization at Terabyte Scale -CI/CD, GitHub Workflows & Automated Testing -Technical Leadership & Architecture Governance Selected Achievements -Designed enterprise cloud data platforms for global organizations across logistics, consulting, retail, healthcare and pharmaceuticals. -Led architecture and engineering initiatives combining Azure, AWS, Snowflake, AI and dbt technologies. -Optimized analytical workloads on datasets exceeding 1 TB, reducing execution times from hours to minutes. -Managed and mentored teams of up to 15 data professionals. -Built AI-enabled data solutions integrating Python, Databricks and enterprise business processes. -Established automated testing, CI/CD workflows and data quality controls to improve reliability and deployment confidence.

I specialize in transforming data into actionable insights as a Data and Analytics Lead with over ten years of experience. My expertise lies in developing innovative analytics solutions that drive strategic decision-making. I have successfully led projects in people analytics and business intelligence, consistently delivering results that enhance organizational performance. In my recent role, I built an AI-driven chatbot that leverages years of experience as a Data Scientist and AI Engineer. This project exemplifies my ability to integrate cutting-edge technology with practical applications. I excel in turning complex data sets into clear narratives that inform business strategies. If you're looking for a skilled professional who can elevate your data analytics initiatives and implement solutions that make a difference, let’s connect. I am ready to collaborate on your next project and unlock the full potential of your data.

I have experience in the Data field, having worked as a Data Engineer, BI Analyst, and ETL Developer. I have knowledge to apply Business Intelligence methodology, SQL, Python, ETL/ELT, Data Lakes, handle various types of data (structured, semi-structured, and unstructured), as well as Big Data environments like Hadoop (Hive, Impala, Spark, etc.) or cloud (AWS, Azure). I also have experience in creating dashboards for data visualization using tools like Power BI.