Hire the Best Talend Open Studio Specialists
in Brazil

- Data Engineer with 3+ years of experience and a Ph.D. degree in Physics. - Proficient at Data Platform Engineering, DataOps, and ETL/ELT processes working for companies in Pharma, Financial, and Earthbound industries. - Highly skilled in industry-relevant technologies such as AWS, Terraform, GitHub Actions, dbt, and Dagster. - Community contributor to the Dagster open-source project with 8 merged Pull Requests and holds an AWS Solutions Architect Associate Certification. - Skilled at optimizing data pipeline performance and platform efficiency. Relevant achievements include the 40% cost reduction after modernizing the data infrastructure, and reducing time-to-value from weeks to days by using appropriate data structures and algorithms.

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

Most data teams have infrastructure that looks good on paper but still can't answer basic business questions fast enough. I fix that end to end. With 7+ years in data engineering, I specialize in Snowflake, Databricks, and AWS building pipelines that actually run in production without breaking at 6am. Recent work includes: • CI/CD pipeline for a US healthcare client using Schemachange + Snowflake with automated DQ checks and deployment gating • Databricks-to-Snowflake migration of a 200-view mart package, rebuilt natively in Snowflake SQL • ML-powered matching service on FastAPI with pgvector semantic search and a LightGBM reranker • End-to-end RAG pipeline using Airflow, Pinecone, and OpenAI I work as an independent contractor no middleman, no overhead. I treat your problem as mine to solve, not a ticket to close. If your data is slow, unreliable, or not being used strategically, let's talk.

I focus on data engineering, software engineering, ETL/ELT, SQL reporting, high-volume data flows, and development of robust APIs using Java and Scala. I prioritize three key elements: reliability, efficiency, and simplicity. I hold a Bachelor's degree in Information Systems from Pontifícia Universidade Católica do Rio Grande do Sul as well as graduate degrees in Software Engineering from Infnet/FGV and Data Science (Big Data) from IGTI. In addition to my academic qualifications I have acquired a set of certifications: - Databricks Certified Data Engineer Professional - AWS Certified Solutions Architect – Associate - Databricks Certified Associate Developer for Apache Spark 3.0 - AWS Certified Cloud Practitioner - Databricks Certified Data Engineer Associate - Academy Accreditation - Databricks Lakehouse Fundamentals - Microsoft Certified: Azure Data Engineer Associate - Microsoft Certified: DP-200 Implementing an Azure Data Solution - Microsoft Certified: DP-201 Designing an Azure Data Solution - Microsoft Certified: Azure Data Fundamentals - Microsoft Certified: Azure Fundamentals - Cloudera CCA Spark and Hadoop Developer - Oracle Certified Professional, Java SE 6 Programmer My professional journey has been marked by a deep involvement in the world of Big Data solutions. I've fine-tuned my skills with Apache Spark, Apache Flink, Hadoop, and a range of associated technologies such as HBase, Cassandra, MongoDB, Ignite, MapReduce, Apache Pig, Apache Crunch and RHadoop. Initially, I worked extensively with on-premise environments but over the past five years my focus has shifted predominantly to cloud based platforms. I've dedicated over two years to mastering Azure and I’m currently immersed in AWS. I have a great experience with Linux environments as well as strong knowledge in programming languages like Scala (8+ years) and Java (15+ years). In my earlier career phases, I had experience working with Java web applications and Java EE applications, primarily leveraging the WebLogic application server and databases like SQL Server, MySQL, and Oracle.

Data Analyst and Data Engineer with 5+ years of experience in building end-to-end data solutions, developing machine learning models, and driving data-informed decision-making. Specialized in creating and optimizing data pipelines, statistical analysis, and implementing predictive models for business optimization. - Solid knowledge (4+ years) in Python and SQL, with extensive experience in building and maintaining data pipelines (complex queries, query optimization, data modeling). - Work experience with data analysis using Python ecosystem (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn). - Extensive experience in development of machine learning models using Scikit-learn and PyTorch for predictive analytics and customer behavior analysis. - Extensive experience in database structuring and optimization in both SQL (PostgreSQL, MySQL) and NoSQL environments (MongoDB, DynamoDB). - Advanced experience with cloud platforms and data warehouses (Databricks, AWS, Google Cloud BigQuery) for large-scale data processing. - Experience in ETL processes and data pipeline development using Apache Airflow, DBT, and Docker, transforming data from MongoDB to BigQuery and creating relational structures. - Data pipeline orchestration and workflow automation using Apache Airflow, including: - Creating DAGs for automated data extraction - Implementing data quality checks - Managing dependencies between tasks - Monitoring pipeline performance - Strong background in data visualization and dashboard creation (Power BI, Tableau, Metabase, QuickSight, Looker Studio). - Experience with version control systems (Git) and workflow management. - Proficient in statistical analysis and data-driven decision making. - Strong background in KPI definition and monitoring (churn, retention, customer engagement).. - Experience in creating and maintaining data documentation. - Experience with statistical analysis and implementation of data-driven solutions, including customer segmentation and churn prediction models. - Experience in transforming business requirements into technical solutions through data modeling and analytics engineering. - Experience in conducting statistical analyses including A/B testing methodologies to guide product decisions and marketing strategies. - Product analytics and user behavior analysis to drive feature optimization and improve conversion rates. - Advanced Excel (VBA) and Google Sheets (Apps Script) development for process automation. Machine Learning Certification (DeepLearning.AI & Stanford University) Deep Learning Certification (DeepLearning.AI)