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Your data infrastructure looks fine on paper, but it still can't answer a basic business question before the meeting's over. That's the gap I close, end to end. I'm a senior data engineer with 7+ years building pipelines that run in production without breaking at 6am. My core stack is Snowflake, Databricks, dbt and AWS, with Python and Airflow holding it together, but the tools matter less than the outcome: reliable data your whole team actually trusts. A few things that show how I work. I migrated a 200-view mart off Databricks and rebuilt it natively in Snowflake SQL. I built CI/CD for a US healthcare client using Schemachange and Snowflake, with automated data-quality checks and deployment gating so bad data never reaches production. Earlier in my career I cut processing time 25–40% by moving legacy scripts to Spark, saved a business team 30+ hours a month by automating their reporting, and redesigned Power BI dashboards that cut reporting time 40% and finally got finance and ops to actually use them. I work as an independent contractor, no middleman, no overhead, no ticket-closing. I take your problem on as mine, ask the business questions first, and design something your team can maintain without depending on me forever. If your data is slow, unreliable, or just not being used to make decisions, let's talk.

I am a data professional with over 3 years of experience in Data/Cloud Engineering, specializing in designing and implementing scalable Data Engineering solutions on cloud platforms. My expertise lies in building robust Data Lakes and Data Warehouse pipelines, with a proven track record of delivering multi-terabyte to petabyte-scale solutions for clients in commercial healthcare, retail, and beyond. Additionally, I have hands-on experience constructing Retrieval-Augmented Generations (RAGs) to enhance data science workflows. Core Competencies: ✅ Microsoft Azure: Data Factory, Synapse, Storage Account, SQL Server, SSIS, SSAS, and Power BI. ✅Amazon Web Services (AWS): EMR, Athena, Redshift, Glue, S3, RDS, Kinesis Data Firehose, Kinesis Data Streams. ✅Data Engineering Tools: Databricks (Azure), dbt, Snowflake, Airflow, Airbyte, Hadoop, and Hive. ✅ Machine Learning & AI: Skilled in developing and deploying machine learning models using TensorFlow, PyTorch, and scikit-learn for predictive analytics, classification, and clustering. ✅ Large Language Models (LLMs): Proficient in leveraging models like GPT-3 and BERT for natural language processing tasks such as text generation, summarization, and sentiment analysis. ✅Programming & Querying: Advanced Python and SQL expertise. ✅Relational Databases: Proficient in Postgres, MySQL, MSSQL, and SQLite. ✅NoSQL Databases: Skilled in MongoDB, Cassandra, and GCP Bigtable. ✅ Version Control: Git, Gitlab, Github. Certifications (verified): ✅ AZ-900 ✅ Databricks Data Engineer Fundamentals ✅ Databricks Data Engineer Associate ✅ Databricks Data Engineer Professional

Is your data truly working for you or working against you? I help organizations in highly regulated industries turn compliance chaos into competitive advantage by unlocking the real value hidden inside their data. With strategic systems, automation, and AI-driven insights, I build profit-generating solutions that executives can actually use to make million-dollar decisions. Every solution I deliver is designed with purpose, combining technical expertise, regulatory understanding, and business impact. The goal isn’t just dashboards or reports—it’s clarity, growth, and systems that drive results. Here’s how I can support your organization: – Data Liberation: transform silos into streamlined, actionable insights – Compliance Alignment: build systems that satisfy auditors and accelerate growth – Workflow Automation: eliminate manual processes and free your teams to focus on impact – Revenue Insights: deploy AI and ML to uncover hidden opportunities and reduce costs My work is rooted in clarity, consistency, and ROI. I don’t just “analyze data”—I help organizations turn it into their most valuable asset. TECHNICAL SKILLS ✓ Programming & AI: Python, SQL, TensorFlow, PyTorch ✓ Cloud & Data: AWS (Athena, Glue, S3, SageMaker), automated pipelines ✓ Visualization: Power BI and business-focused dashboards ✓ Compliance & Risk: building systems that reduce costs and improve accuracy ✓ Collaboration: Leading cross-functional teams, translating data into business action If you’re ready to transform your data from liability into competitive edge, I’d love to support you. Let’s talk about how we can turn your regulatory challenges into revenue opportunities.

Data Engineer with extensive experience in building scalable data pipelines, automation, and advanced Generative Artificial Intelligence solutions. Expert in ETL, integration, and process modernization using cutting-edge technologies like Apache Spark, Databricks, Azure Data Factory, Airflow, and AI tools, with a proven track record in efficiency optimization and delivering business insights. Currently leading data engineering initiatives focused on robust pipeline development with Mage and intelligent workflow integration using n8n. Skilled in backend API development with Python and FastAPI, applying modern techniques such as LangChain, Vector Stores, RAG, and agent architectures for automation, contextual analysis, and AI-driven business process integration. Hands-on experience in global consulting (Accenture, Rox Partner), industry (Neoenergia Coelba, Continental), and innovation projects in energy efficiency. Strong technical leadership, multidisciplinary team collaboration, and value-driven product delivery. Key skills include: Data Engineering (Spark, Azure, Databricks, Airflow), Generative AI (LLMs, OpenAI, LangChain), data architecture, process automation, Python APIs, modern data warehousing, streaming, and cloud platform integration.

You probably think clicking "deploy" on Databricks from the cloud marketplace is all it takes to build a modern data stack. Instead, you get unmanageable infrastructure, skyrocketing costs, and pipelines feeding reports nobody trusts. 𝗜 𝗳𝗶𝘅 𝘁𝗵𝗮𝘁. 𝗡𝗼 𝗮𝗴𝗲𝗻𝗰𝗶𝗲𝘀, 𝗻𝗼 𝗯𝗹𝗼𝗮𝘁. Just a multi-certified, 5+ years of experience Cloud Solutions Architect building automated, high-integrity platforms that turn raw data into a competitive advantage. If you shoot me a invitation or message I'll send you a personalized Loom video back on how I may be able to help you; and of course, to prove that I'm the real deal, 𝗻𝗼 𝗔𝗜 𝗶𝗻𝘃𝗼𝗹𝘃𝗲𝗱! Whether you are building a greenfield lakehouse from scratch or migrating legacy systems to the cloud, I architect efficient, cost-effective environments that scale without the overhead. I understand the business bottom line just as well as the underlying code. ✪ 100% Job Success Score | 5.0★ average ✪ Proven experience on multi-cloud architectures 💡 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼: • 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: I build production-ready environments using Terraform. No manual marketplace or standard deployments that break at scale. • 𝗥𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Raw data becomes actionable. I build resilient Medallion architectures and automated ETL/ELT pipelines so your stakeholders actually trust the numbers. • 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗠𝗟𝗢𝗽𝘀: I bridge the gap between data engineering and machine learning. Using MLflow and Databricks Model Serving, I operationalize models into scalable, real-time REST endpoints and automated streaming inference pipelines. • 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Proper data governance utilizing Unity Catalog (no legacy Hive metastores) to ensure your data is accessible, secure, and future-proof. • 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝘀𝘁 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Most companies overspend on cloud infrastructure. I architect systems that pay for themselves in weeks by eliminating overhead and inefficiencies with efficient auditing and monitoring features. ✅ 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 (𝘃𝗲𝗿𝗶𝗳𝗶𝗲𝗱): • Databricks Professional Data Engineer • Databricks Associate Data Engineer • Databricks Lakehouse Fundamentals • GCP Professional Data Engineer • GCP Associate Cloud Engineer • GCP Cloud Digital Leader • AWS Associate Solutions Architect • AWS Cloud Practitioner 🔧 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀: Workflows, LDP (Lakeflow Declarative Pipelines), Unity Catalog, Workflows, Databricks SQL, MLFlow. • 𝗔𝗺𝗮𝘇𝗼𝗻 𝗪𝗲𝗯 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 (𝗔𝗪𝗦): EMR, Athena, Redshift, Glue, S3, RDS, Kinesis Data Firehose, Kinesis, and Data Streams. • 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (𝗚𝗖𝗣): Bigquery, Dataform, Composer, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Functions, and Looker Studio. • 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲: Data Factory, Synapse, and Storage Account. • 𝗢𝘁𝗵𝗲𝗿𝘀: Terraform, dbt, Airflow, Airbyte, Hadoop, and Hive. ⚙️ 𝗖𝗼𝗿𝗲 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: • 𝗥𝗼𝗹𝗲𝘀: Data Architect, Data Engineer, Solutions Architect, Platform Engineer • 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: Databricks (Delta Lake, Unity Catalog, Lakeflow, Workflows), BigQuery • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Infrastructure as Code (IaC), Terraform, Multi-Cloud (AWS, GCP, Azure) • 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Medallion Architecture, Data Lakehouse, Data Governance, Data Quality, Machine Learning • 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: PySpark, Python, SQL, dbt, Apache Airflow, ETL/ELT, CDC, Batch and Stream Processing

7 year data experienced professional at finance, health, tech, consulting and banking experience. A challenge and problem solving driven professional and have always had as a goal the fusion of data technology and capital markets. Pursuing to contribute and grow within a fast-paced environment on innovative projects. Currently Senior Data Platform Engineer and finishing master’s degree in Computer Science at UFMG. Projects: Throughout my career, I've been involved in many exciting projects, such as developing GAN and binary investment robots for investment algorithms, reconciling financial data for large companies, and statistically analyzing stock trading volume using Google Trends. My projects demonstrate my ability to combine AI models, quantitative analytics and financial expertise to gain data-driven insights. Skills: I have diverse skills in programming languages such as Python, Javascript, R, C/C++, SQL, Typescript, Scala and VBA. I have hands-on experience with various databases such as SQL Server, PostgreSQL, DB2, MySQL, MongoDB, Google Big Query, Oracle, AWS and Microsoft SSIS. In addition, I have knowledge in data visualization tools, such as Shiny, Matplot, Tableau, PowerBI and Google DataStudio. Languages: I am a native Portuguese speaker and proficient in English and Spanish, which enables efficient communication with international teams.