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Top Data Engineering developers available to hire in LATAM:

Data Engineering developers in LATAM - Marcel P.
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Marcel P.

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 • 5 yrsBig Data • 3 yrsData Visualization • 7 yrsData warehouse • 5 yrsData modeling • 5 yrsData Pipelines • 5 yrsETL • 5 yrsCloudData MiningData analysisData MigrationData structureApache SparkApache KafkaData processingData ManagementData analyticsApache HadoopData CleansingCloud ArchitectureData CleaningData IntegrationGoogle Data StudioAirflowData LakeData IngestionData architectureBig Data SQLPentaho Data IntegrationData QualityApache AirflowData manipulationData wranglingData ValidationBig Data EngineeringApache NiFiAzure Data FactoryData governanceBig data technologiesData Warehouse TestingBig Data ArchitectureAzure Data EngineerVisual Data AnalyticsAzure Data LakeData pipeline designData Version ControlData ScienceApache HiveMicrosoft Power PlatformEnglishPerformance OptimizationAzurePythonSQLScalaMySQLGitMongoDBDatabasePostgreSQLSharePointNumPyGitHubAmazon S3Google AnalyticsPandasWeb ScrapingQuery OptimizationSASIntegrationGitLabFabricAzure Queue StorageGoogle BigQueryDatabase NormalizationDockerPython 3TeradataPipelinesScrumLeadershipKanbanOLAPTableauSQL QueriesDatabase TuningIBM DB2Microsoft SQL ServerAmazon RedshiftSQL TuningAzure SQLPower QueryLive StreamingHiveQLPentahoStar SchemaQlik SenseJupyterTerraformAzure Machine LearningInfrastructure as CodeDAXAzure Service fabricUX/UI DesignPower BIAgileSQL DatabasesLookerSnowflakeAlteryxAzure SQL DatabaseDataflowAzure table storageDatabricksJupyterLabMicrosoft Power AppsAzure Blob StorageAzure SQL ServerSQL Performance TuningMicrosoft service fabricDBTAzure ConsultantMicrosoft Power AutomateDelta LakeDataverseAzure synapse analyticsAzure synapseDelta TablesUX designAzure IoT EdgeJSONExcelMachine learningNoSQLAnalyticsWeb analyticsWireframing/prototypingUX ReviewUI designAnalysisMathematicsRequirements GatheringTechnical WritingNoSQL DatabaseProblem-solvingQAStatisticsStrategy
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Data Engineering developers in LATAM - Ivan C.
Ivan C.

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.

Data Engineering developers in LATAM - Leonardo R.
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Leonardo R.

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 developers in LATAM - Miguel G.
Miguel G.

Data Engineering developer in Colombia (UTC-5)

Data Engineer/Scientist with over five years of experience developing and deploying Data Science products for predictive purposes in energies, healthcare, and tourism industries. Wide-ranging experience as Data Engineer working with big and unstructured data on-premises and in the cloud. Solid experience with frameworks, cloud services and, deployment services such as MLOps, Snowflake, DVC, Azure Data Factory, CI/CD, Airflow, MLFlow, Terraform, Docker and, agile methodologies. Technical background in cloud platforms such as Azure, Google Cloud Platform, and IBM Cloud. Extensive experience with collaborative tools such as GitHub, GitLab, and Bitbucket. Statistics and solid mathematical knowledge because of over ten years of experience as a Chemical Engineer. **Proficient in English and bilingual in Spanish and Portuguese, beginner in French**.

Data Engineering developers in LATAM - Hudson S.
Hudson S.

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.

Data Engineering developers in LATAM - Daniel C.
Daniel C.

Data Engineering developer in Ecuador (UTC-5)

Data Engineer with four years of experience in speech recognition technologies and Python-based solutions. Experienced in Python and SQL, coupled with proficiency in tools like Beam, Spark, and Airflow. Skilled in data analysis and visualisation, and data engineering solutions like AWS and Azure.

Data Engineering developers in LATAM - Santiago M.
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Santiago M.

Vetted Data Engineering developer in Colombia (UTC-5)

I am passionate about technological challenges and projects with multidisciplinary teams that involve the usage of data to develop and deploy solutions that optimize decision-making for organizations and people. During 4 years working as Data Engineer, I had the opportunity to lead teams to built data products as batch ETL/ELT data pipelines for data lakes and data warehouses, creating data models to provide valuable, clean and consumable information, deploying machine learning models to be consumed through APIs served in serverless cloud functions and implementing infrastructure as code to automate pipelines deployment, using CI/CD practices through Github Actions, setting monitoring and alerting to seek continuous and incremental improvement.

Data Engineering developers in LATAM - Jorge M.
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Jorge M.

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

Data Engineering developers in LATAM - Bruno C.
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Bruno C.

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.

Data Engineering developers in LATAM - Alexander C.
Alexander C.

Data Engineering developer in Colombia (UTC-5)

As a data lover, I enjoy helping companies solve their problems, such as data cleansing, ETL maintenance, and data migration wherever needed, orchestration is the key when you want to automate the delivery of the different types of data in real-time or batch, either to a data warehouse, a specific bucket or by email in any format of interest like CSV, JSON, parquet among others. I consider myself a fan of task automation and ETL processes for this reason I keep learning each day about technologies like Airflow, Apache NIFI, AWS Lambda among others.

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