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Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems for a fintech-focused company.
Design and build scalable payment data models and cloud-native ELT pipelines for a fintech platform handling cards, ACH, wallets, and cash payments.
Build and maintain data pipelines on Microsoft Azure and Fabric, using PySpark, Python, and SQL to move and transform customer data for analytics and BI solutions.
Lead a backend team in Brazil to build scalable APIs, workflows, and automation using cloud-native tech, Temporal.io, and AI-driven orchestration for 3M’s Corporate Research Digital Lab.
Design and build cloud-based data pipelines and integrations to feed a Knowledge Graph platform using Microsoft Fabric or equivalent, with C#/.NET or Python and PySpark.
Build and maintain ETL/ELT pipelines in Python and SQL on AWS, optimizing cloud data lakes/lakehouses for performance and cost while collaborating with AI teams to productionize ML prototypes.
Build and scale Cashea’s data platform: orchestrate Airflow DAGs, transform raw data with dbt on BigQuery, and maintain CDC pipelines from PostgreSQL to GCP, ensuring reliable analytics for 9M+ users.
Designs and builds scalable data pipelines and BI solutions using Microsoft Fabric, Azure Data Factory, and Power BI for analytics and reporting.
Design and build scalable ETL pipelines in Azure Data Factory and SQL Server, migrating to Microsoft Fabric for unified enterprise reporting and analytics using Power BI.
Build and optimize cloud data pipelines, real-time processing, and Lakehouse architectures using Python, PySpark, and SQL to feed AI models and business analytics.
Senior Data Engineer builds and migrates data pipelines for a life-sciences CRM transition, using Databricks, AWS S3, dbt, and Airflow to move and transform Salesforce/Veeva data into a cloud data warehouse.
Build and optimize cloud-based data pipelines in Azure for healthcare analytics, using Azure Data Factory, SQL, and modern data architectures to support reporting and compliance.
Build and maintain scalable data pipelines, ETL/ELT workflows, and Tableau dashboards to transform raw data into actionable insights for clients.
Build and maintain scalable data pipelines and Lakehouse solutions on Azure and Databricks to power analytics for a global insurance broker.
Design and build Azure Databricks Lakehouse pipelines and integrate them with SQL Server data warehouses using PySpark and big data tools.
Designs and builds scalable data pipelines, warehouses, and ETL/ELT workflows using Python, Java, Spark, and SQL to ensure clean, high-quality data for analytics and products.
Build and maintain ETL pipelines in Microsoft Fabric to ingest mortgage data, enforce quality checks, and power analytics and compliance reporting.
Build and maintain cloud data pipelines, ETL/ELT workflows, and ML model services using Python, SQL, AWS, Airflow, and dbt to power analytics and AI features for a logistics company.
Build and maintain reliable data pipelines and a Lakehouse architecture on Databricks to feed analytics, models, and APIs, while integrating AI/ML solutions and mentoring peers.
Design and build scalable data pipelines in Azure Data Factory and SQL Server, migrating to Microsoft Fabric for unified enterprise reporting and analytics using Power BI.
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