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Looker developers in Brazil - Lawrence F.
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Lawrence F.

Vetted Looker developer in Brazil (UTC-3)

I'm a Data architect, with past experiences in Business Intelligence and Data Engineering on leading companies, such as IBM, B2W, and Nestlé. I've being working for 5 years on Big Data projects, using multiple clouds (GCP, AWS, and Azure) and architectures (Data Warehouses/Lakes/Lakehouses, Modern Data Platforms, Data Mesh). Currently, I'm the leader of Debussy, an opinionated open-source data architecture and engineering framework that integrates Airflow, Spark, and dbt.

Looker developers in Brazil - Alexsandro S.
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Alexsandro S.

Vetted Looker developer in Brazil (UTC-3)

I'm a Tech guy who develop a good experience in Data Engineer, like to work with new technologies and build reliable solutions. Would love to hear opportunities to continue my career.

Looker developers in Brazil - Adelaide A.
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Adelaide A.

Vetted Looker developer in Brazil (UTC-3)

I am a Data Engineer with experience in building scalable data pipelines, managing data warehouses, developing interactive dashboards, and implementing cloud infrastructure using various technologies and languages. My background includes Data and Analytics Engineering roles, as well as founding a language school. I hold multiple AWS certifications and have expertise in Python, Spark, SQL, and other tools.

Looker developers in Brazil - Sillas G.
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Sillas G.

Vetted Looker developer in Brazil (UTC-3)

I am a seasoned data scientist with 7+ years of experience and a rich background in credit risk, fintech and marketing, recognized for developing impactful predictive models, spearheading projects, translating business requirements from stakeholders, and mentoring emerging talent. My experience ranges from optimizing fraud detection at Signifyd to enhancing credit risk assessment and customer retention strategies at Creditas and Will Bank. Proficient in technologies like Python, SQL, dbt, AWS, Looker, and R, I excel in turning complex data into actionable business strategies and thrive in roles that allow me to drive organizational success through data-driven solutions while being able to communicate my results with stakeholders of different technical backgrounds.

Looker developers in Brazil - Ewerton S.
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Ewerton S.

Vetted Looker developer in Brazil (UTC-3)

Hello, I'm Ewerton, a Data Engineer from Brazil with 6 years of experience, starting in 2018. I’ve worked across various sectors, including advertising, marketing, banking, credit cards, and food services. My primary language is Python, and I’m well-versed in libraries like Pandas and NumPy. I'm also skilled in SQL and NoSQL databases, including PostgreSQL, MySQL, BigQuery, Spanner, and Elasticsearch. Much of my work focuses on backend systems and cloud-based data pipelines using frameworks like Flask, and FastAPI, and tools such as Apache Airflow. I have experience with CI/CD on platforms like GitHub Actions, using Bash scripts or YAML templates to ensure safe deployments. I’m proficient in creating dashboards for stakeholders, mainly in Looker Studio, with experience in Power BI for past roles. I hold an MBA in Data Science and have implemented machine learning projects, such as forecasting spending and retrieving similar products from user queries. Ultimately, I excel at solving data challenges, so if you think we could be a match, let’s connect — I’d love to learn about your needs and discuss how I can help.

Looker developers in Brazil - dzidefo A.
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dzidefo A.

Vetted Looker developer in Brazil (UTC-3)

I am a skilled Data Engineer with a strong background in Business Intelligence development. My expertise lies in designing and implementing data solutions, ensuring data integrity, and delivering actionable insights through intuitive visualizations. With a collaborative mindset and a passion for continuous learning, I am poised to contribute to the success of organizations by harnessing the power of data and driving informed decision-making.

Looker developers in Brazil - Marcel P.
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Marcel P.

Vetted Looker 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)

LookerData EngineeringBig DataEnglishData VisualizationData warehouseData modelingPerformance OptimizationData PipelinesETLAzurePythonSQLScalaMySQLGitMongoDBDatabasePostgreSQLSharePointNumPyGitHubAmazon S3Google AnalyticsPandasWeb ScrapingCloudQuery OptimizationSASIntegrationData MiningGitLabData analysisFabricAzure Queue StorageGoogle BigQueryDatabase NormalizationDockerPython 3TeradataPipelinesScrumLeadershipKanbanOLAPData MigrationTableauSQL QueriesDatabase TuningIBM DB2Data structureApache SparkMicrosoft SQL ServerAmazon RedshiftApache KafkaSQL TuningAzure SQLPower QueryLive StreamingHiveQLData processingPentahoStar SchemaData ManagementData analyticsQlik SenseJupyterTerraformApache HadoopAzure Machine LearningInfrastructure as CodeDAXAzure Service fabricUX/UI DesignData CleansingCloud ArchitecturePower BIData CleaningData IntegrationGoogle Data StudioAgileSQL DatabasesSnowflakeAirflowData LakeData IngestionData architectureBig Data SQLPentaho Data IntegrationAlteryxData QualityApache AirflowData manipulationAzure SQL DatabaseDataflowData wranglingAzure table storageDatabricksData ValidationBig Data EngineeringJupyterLabApache NiFiMicrosoft Power AppsAzure Blob StorageAzure Data FactoryData governanceBig data technologiesAzure SQL ServerSQL Performance TuningMicrosoft service fabricDBTAzure ConsultantMicrosoft Power AutomateData Warehouse TestingDelta LakeBig Data ArchitectureDataverseAzure Data EngineerAzure synapse analyticsAzure synapseVisual Data AnalyticsAzure Data LakeData pipeline designData Version ControlDelta TablesUX designAzure IoT EdgeJSONExcelMachine learningNoSQLAnalyticsWeb analyticsWireframing/prototypingUX ReviewUI designAnalysisMathematicsData ScienceRequirements GatheringTechnical WritingNoSQL DatabaseProblem-solvingApache HiveMicrosoft Power PlatformQAStatisticsStrategy
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Looker developers in Brazil - Ian K.
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Ian K.

Vetted Looker developer in Brazil (UTC-3)

Experienced Data Analyst with a proven track record of Martech, Product Analytics, Customer Analytics, and Data product development in startups and Large established through the delivery of high-quality data solutions. I've been instrumental in the success of a few LATAM and European companies, specializing in Python Environment, SQL, and Cloud native technologies (GCP, Azure, and AWS) 🚀 Key Expertise: Python and its main libraries for Data development (FastAPI, Pandas, seaborn, flask, streamlit, Matplotlib, Scikit-learn, Keras, etc.) Creation of Data Products using cloud environment in all of the major Clouds (Azure Data Factory, AWS Redshift & Glue, GCP Dataproc & Big Query) Working on Data Orchestration and transformations with tools like DBT, Great Expectations, and Apache Airflow CI/CD environments (Github, Gitlab, Confluence, and Jira) Proficient in programming, refactoring, and debugging skills 🌐 Other Skills: Proven experience working remotely in agile teams Independent problem solver with a proactive attitude and team player Passionate about designing data products with quality, scalability, and impact. Self-taught and curious, with a history of building and transforming startups and generating value in large companies 🎮 Additional Skills and Interests: Avid long-range cyclist, exploring the intersection of technology and cycling in the best possible way Enthusiastic gamer, with a penchant for immersive gaming experiences.

Looker developers in Brazil - Bruno H.
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Bruno H.

Vetted Looker developer in Brazil (UTC-3)

Experienced Senior Data Analyst equipped with a Master's Degree in Data Science and A.I., boasting over 10 years of robust involvement in steering comprehensive data initiatives. Proficient in every phase of the data lifecycle, from meticulous requirements analysis to the meticulous design and deployment of dashboards, along with adeptness in data manipulation, rigorous testing, and seamless deployments. Skilled in fostering collaboration across multifunctional teams, including engineers, data scientists, analytics teams, and business product owners within an agile framework.

Looker developers in Brazil - Ana S.
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Ana S.

Vetted Looker developer in Brazil (UTC-3)

Business administrator with 6 years of experience in Business in the financial market, the last 4 years focused on solving business problems with application of statistics in data analysis. I like to understand and solve problems. I have a holistic and strategic vision. I'm curious, I'm always learning something new and I have pro activity, self leadership and interpersonal communication with great public speaking. My experiences are: • Knowledge in exploratory and descriptive statistics. • Knowledge in SQL, R,Scala, Pyspark Python. (pandas, numpy). • Application of best practices in data visualization with storytelling. • Critical and logical thinking, analysis frameworks, problem summarization, good communication and public speaking. • Identification and mapping of short, medium and long term needs. • Acting and participating in the product development process as a member of the scrum team and squads. • Survey of business hypotheses and A/B testing proposals to validate the hypothesis. • Knowledge of the main indicators of digital products (Churn, LTV, cohort, CAC, etc) and creation of custom metrics. • Identification of opportunities for new projects and support for decision making in the business area. • Clarity of the pros and cons of each analysis, regardless of whether all necessary data is available

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