Hire the Best IBM InfoSphere DataStage Specialists
in Brazil

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

Lead data engineer with product analytics and data science background, having worked with Fortune 500 companies (Procter & Gamble, Merck, Anheuser-Busch), as well as top-notch data-driven startups. Skilled in translating complex business problems into data solutions, designing data pipelines, providing high-quality data for data-driven insights and decision-making, as well as building KPIs, conducting statistical analyses, and creating impactful visualizations. Problems I'm good at solving: • Data Warehousing and Analytics • ETL / ELT data pipelines • SQL query tuning • Data Modeling and Database Design • Reporting • Data Analysis • Data Cleaning, Pre-Processing • Data Visualization • NLP problems I have a bachelor's in engineering from the top LATAM university (Universidade de São Paulo) with a track record of supporting organizations across various industries, including remote hiring, real estate, and consumer goods. Skills and Expertise ✅ SQL ✅ Python Databases ✅ Snowflake ✅ Redshift ✅ BigQuery ✅ Athena ✅ Trino ✅ Postgres ✅ MySQL Big Data Cloud Technologies ✅ Amazon Web Services – AWS Certified (Redshift, Athena, S3, Lambda, Glue ...) ✅ Google Cloud Platform Other Data Engineering Tools ✅ dbt ✅ Airflow ✅ Fivetran ✅ Git, Gitlab, and Github ✅ Rundeck ✅ Docker Data Visualization ✅ Looker (LookML Expert) ✅ PowerBI ✅ Metabase ✅ Looker Studio (Data Studio) ✅ Sigma ✅ Hex Data Science and Machine Learning ✅ Sci-kit learn, pandas, etc ✅ NLP analysis ✅ Spark ✅ Databricks ✅ Hex ✅ Jupyter Notebooks User Behavioral Analytics ✅ Snowplow ✅ Indicative ✅ Heap ✅ Amplitude ✅ Google Analytics

I help companies turn multiple data sources into valuable insights. With a graduate degree in Intelligent Decision Support Systems, I specialize in data modeling, dashboards, and data integration for industries including marketing, retail, finance, healthcare, and insurance. Throughout my career, I have built BI systems that enable performance measurement, customer analysis, and operational optimization. Proudly using Ralph Kimball’s data warehousing methodology and strong SQL skills, I design tailored dimensional models that make reporting efficient and insightful. My technical toolkit includes Power BI and Qlik Sense for interactive dashboards, Azure SQL and SSIS for robust ETL pipelines, and solid data architecture foundations for scalable solutions. I work closely with stakeholders to translate business goals into data-driven solutions that support strategic decisions and measurable business growth. Key Technical Expertise • BI & Visualization: Power BI, Qlik Sense, Looker, Metabase, Sisense • Data Modeling & ETL: Ralph Kimball Methodology, dbt, Azure Data Factory, SSIS, Alteryx, Fivetran • Databases & Warehousing: Snowflake, Google BigQuery, Azure SQL, AWS Redshift, Oracle, PostgreSQL • Languages: SQL (Expert), Python • Cloud Platforms: Azure, GCP, AWS

I'm working as a Data Engineer with over 15 years of experience as a DBA, Database/BI Developer, Data Engineer, and Data Architect, my expertise includes relational databases like SQL Server, MySQL, PostgreSQL, Netezza, and SQLDW as well as big data solutions like Hadoop, Apache Spark, and other related solutions like HBase, Apache Pig, Impala, Hive, MongoDB, Google BigQuery, Airflow, Amazon EMR, Azure Synapse Analytics, Databricks, Cloudera Data Platform and so on. I have certifications in Azure Data Engineer, Google Cloud Data Engineer, AWS Cloud Practitioner, Microsoft SQL Server, MySQL, and others. I've been working for a while with on-premises environments, but lately, I've been working more with cloud environments on Azure, AWS, and GCP. I have a great experience in Linux environments and programming languages such as Scala, Python, R, and SQL. Also, I have strong experience in ETL/ELT processes, Data Modelling, and Data Ops.

Need dashboards that executives actually use? Data pipelines that don't break? Analytics that drive real business decisions? I've spent 10+ years building analytics infrastructure for Nasdaq-listed companies (Upwork, Intuit) and LATAM's top tech unicorns (QuintoAndar, EasyTaxi (acq. by Cabify) - and I bring that enterprise-grade expertise to every project. ━━━━━━━━━━━━━━━━━━━━━━ 📊 WHAT I DELIVER ✦ Dashboard & BI Development • Built 500+ executive dashboards serving C-level decision makers • Expert in Looker (LookML), Tableau, and Power BI • Designed metrics frameworks used by entire organizations ✦ Data Pipelines & Infrastructure • SQL, Python, dbt, Airflow - production-ready pipelines • ETL/ELT design with 80% performance improvements • Data modeling and semantic layer architecture ✦ AI-Augmented Analytics • LLM-powered tools that cut analysis time by 99% • Automated reporting and documentation systems • Predictive modeling and forecasting ━━━━━━━━━━━━━━━━━━━━━━ 🎯 RESULTS I'VE ACHIEVED ✓ 90% reduction in chargebacks through fraud analytics (saved $200K+) ✓ 99% faster documentation using AI automation (days to minutes) ✓ 14% improvement in customer satisfaction through metrics redesign ✓ 9% churn reduction through data-driven retention strategies ━━━━━━━━━━━━━━━━━━━━━━ ⭐ WHY CLIENTS CHOOSE ME • 100% Job Success Score with all 5-star reviews • 3,700+ hours on Upwork with $100K+ earned • Long-term partnership focus (most contracts are 6+ months) • Clear communication and proactive problem-solving ━━━━━━━━━━━━━━━━━━━━━━ 🛠️ Tools: SQL | Python | Looker | Tableau | dbt | Airflow | BigQuery | Snowflake | AWS | GCP Ready to transform your data into actionable insights? Let's talk!

I help companies build reliable data systems when data sensitivity matters. Most data engineers focus only on "make it work". I focus on "make it work + make it auditable + make it secure" — because I've seen what happens when you skip those steps. Background: Former lawyer + data engineer. I understand both the technical and compliance sides. What I help with: ✅ Building data pipelines with proper access controls ✅ Designing data warehouses with security in mind ✅ Implementing data classification systems ✅ Preparing data infrastructure for audits ✅ Documenting technical systems for compliance Industries I work with: - Healthcare & health tech - Fintech & financial services - Legal tech - HR tech (sensitive employee data) - Any company handling regulated data Tech stack: Google Cloud Platform, BigQuery, Python, dbt, IAM, audit logging Regulations: HIPAA, GDPR, LGPD and sectoral Good fit if you're saying: "We need to be audit-ready" "We handle sensitive data and need proper controls" "Our pipelines work but aren't compliant" "We need documentation for security/compliance" Get in touch!