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Vetted Data Engineering developer in Brazil (UTC-3)
Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) Experienced tech consultant, currently working as Data Tech Lead at Ernst & Young Brazil, focused in: \- SQL, Python, PySpark and Scala Languages \- Data Engineering \- Data Architecture \- ETL pipelines (By code or by ETL Tools like Pentaho, Alteryx, SSIS) \- Big Data (Spark, HDFS, Hive, NiFi, Kafka) \- Tuning and performance \- Azure Cloud (Data Factory, Databricks, Synapse Analytics, SQL DB, Data Lake Gen 2, Stream Analytics) \- Terraform and IaC for Azure Cloud \- Databases (SQL Server, PostgreSQL, Teradata, IBM DB2, MySQL) \- Data Modeling (Erwin, DW, DLH, OLAP/OLTP) \- Business Intelligence and DataViz (Power BI Expert level (M, DAX, DAX Studio, Tabular Editor), Tableau, Looker/Data Studio, Looker and LookML, Qliksense and Qlikview) \- Microsoft Fabric complete solution \- Microsoft Solutions (Power Platform, Power Automate, Sharepoint, Power Apps, Dataverse, Sharepoint)
Data Engineering developer in Brazil (UTC-3)
I am a Lead Data Engineer with experience in establishing and structuring environments, developing ETL pipelines, and leading AI-driven projects. My technical skills include orchestration, streaming, Big Data, DevOps, Cloud Platforms, APIs, Automated Testing, Data Analysis, Machine Learning, and Data Visualization.
Vetted Data Engineering developer in Brazil (UTC-3)
I have experience in software engineering and data engineering since 2019 working on \- Real-time data processing (Scala, Golang, Python, Kafka, PubSub) \- Data pipelines (Apache Beam, Airflow, Spark) \- Data warehouse (Redshift, BigQuery) and data lake (S3, GCS) \- Databases SQL (SQLServer, Postgres, CloudSQL) and NoSQL (Bigtable, MongoDB) \- Data Visualization (Tableau, Power BI, Data Studio) \- Data analysis (SQL) \- Cloud environment (GCP, AWS) Also, I have knowledge in DevOps (Terraform, CircleCI, Jenkins) and Git. Certified as Professional Scrum Product Owner I by [Scrum.org](http://scrum.org/) and Google Cloud Certified Professional Data Engineer by Google.
Data Engineering developer in Brazil (UTC-3)
Senior Data Engineer with over 8 years of experience in data engineering and solution architecture for Big Data, data lakes, and cloud computing (AWS, Azure, GCP). Extensive experience with Snowflake, Databricks, and Spark, optimizing data pipelines and storage scalability to achieve significant improvements in efficiency and processing speed. Proven expertise in technical leadership and data strategy implementation, resulting in cost reductions exceeding 50% and productivity gains of up to 5x. Driven to transform data into valuable insights and collaborate with teams to develop robust, scalable data solutions.
Vetted Data Engineering developer in Brazil (UTC-3)
Hi! Do you want to know about my work experience? I love teaching programming, especially programming with Python. Work experience with projects, data engineering, and data science: * Work experience creating machine learning models, such as Demand Forecasting, Fraud in-app payments, House prices prediction, Delivery time model (ETA), consumer retention, and dynamic pricing of bottles; * Work experience with serverless infrastructure, API Rest, Lambda Functions (AWS), Azure Functions (Azure), and Cloud Functions (GCP); * Work experience creation ETL flow using Beautiful Soup, Requests and saving data inside a Data lake such as S3 or Amazon Redshift. After that, i created a data warehouse using Snowflake; * Work experience with Snowflake; * Work experience creating a Data Catalog, Data lineage, and Business glossary product; * Work experience in Data Visualization ( Tableau, Power BI, Data Studio ); * Work experience in data analyses; * Work experience implementing a governed data lake at the cloud ( GCP, AWS, Databricks); * Solid knowledge about Data Quality; \-Bachelor in Electronic Engineer and Data Science
Vetted Data Engineering developer in Brazil (UTC-3)
Hello, I'm Bruno! I’m a senior software engineer specializing in DevOps and Data Engineering. I’ve been working on projects of architecture, build, and automation of data platforms. Also, I already designed and built a data lake and data warehouse used by thousands of users. I am very goal-oriented, and I deep dive into reaching them. For this, I always try to optimize the reliability, scalability, and maintainability of the projects I work on. I tackle challenges and complex projects with enthusiasm, and excellent analytic skills.
Vetted Data Engineering developer in Brazil (UTC-3)
Senior Data Engineer with over 12 years of experience in designing and building data pipelines, data warehouses, and data lakehouses. Highly skilled in AWS, Snowflake, Azure, and other advanced technologies, supporting complex data projects and business initiatives. Exceptionally dedicated professional with keen interpersonal, communication, and organizational skills. Technologies: Python, PySpark, AWS (KInesis, Lambda, S3, others), DBT, Spark, Databricks, Airflow Fundamentals Certified, Snowflake, Docker, Azure Certified Data Engineer (Data Factory, Synapse, others), ETL, Salesforce, DBT, Snowpipe, SQL Server, Terraform, Pentaho, SQL Server, Postgresql.
Data Engineering developer in Brazil (UTC-3)
I am an Analytics Engineer with experience in developing scripts using Python, PySpark, SQL, and Scala. I have worked on cloud migration projects, data mesh, and data product development using various tools and platforms. My background includes roles as a Data Engineer and Data Analyst, where I have built data pipelines, maintained environments, and created dashboards using tools like Power BI, Tableau, and Mode Analytics. I hold certifications in Databricks, Microsoft, Oracle Cloud, and AWS, with academic qualifications in Big Data Science, Database Management, and Systems Analysis.
Data Engineering developer in Brazil (UTC-3)
PhD in Chemical Engineering with over 10 years' research experience. Pursues a carrer in data analytics and governance to generate business insights. Extremely motivated, constantly developing skills towards professional growth and team management. Currently working as Data Analyst focusing of Data Governance.
Vetted Data Engineering developer in Brazil (UTC-3)
I worked as a Software Engineer and as a Data Engineer on a Data Platform team at a company that stored roughly 10% of all electronic invoices in Brazil. That was billions of records in our databases, and everyday it received tens of millions more. My team was responsible for providing APIs for other engineering teams, both to ingest new records into our platform and to retrieve records based on various filters. These APIs enabled the engineering teams to develop new features for end-users without worrying about business logic, which database the data was stored in, data migrations, data consistency, etc. As a software engineer, I've developed event-driven microservices for real-time data processing and HTTP APIs. My day to day tasks included: * Doing discoveries to find out what the problem is and how to solve it * Designing the solution * Creating the tasks in our backlog * Build the systems with unit and integration tests * Make the CI-CD pipeline * Create alerts and monitor the system after it is deployed to production As a data engineer, I've built batch pipelines to migrate billions of records from one database to another in just a few hours and I would also maintain several Airflow DAGs that triggered ETL pipelines that populated data marts in our data warehouse. I was also Data Engineering Chapter Leader, responsible for tutoring junior data engineers, creating data engineering trainings, diffusing good practices and standards for creating pipelines and organize meetings to discuss technology and tools within the Data Engineering Scope. More recently I was being trained to become a Tech Lead. I took over my Tech Lead's responsabilites when he went on vacation for 20 days, which included talking to our manager to decide which projects to prioritize, help the team plan the weekly tasks, resolve major incidents and plan the next quarter roadmap.
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Hire top 2% remote developers in Brazil to assist your engineering team and deliver your projects today.
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