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Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Lead a team to maintain and enhance an Azure-based data platform, building ETL pipelines and ensuring data quality for real-estate analytics and products.
Lead a team to build and maintain ETL pipelines, Azure Data Platform, and data storage infrastructure using PySpark, Python, SQL, and Azure Databricks.
Designs scalable Delta Lake data architectures with ACID transactions and time-travel queries, building ETL/ELT pipelines using Spark and Parquet storage.
Designs and builds scalable data pipelines and warehouses using Python, Spark, and Snowflake to support analytics and ML workloads for enterprise clients.
Build and maintain scalable data pipelines using Databricks, Python, and SQL to move and transform large datasets across cloud platforms like AWS and Azure.
Build and maintain scalable ETL pipelines using Azure Data Factory, Synapse, Databricks, and Spark to process and optimize data solutions.
Designs and maintains Microsoft Fabric data pipelines, OneLake environments, and analytics-ready data using Azure services, PySpark, and T-SQL.
Designs resilient, scalable data pipelines and products using Azure, SQL, Spark, and CI/CD to transform and deliver data for analytics and architecture.
Designs and builds scalable GCP-based data pipelines using Dataflow, Pub/Sub, and BigQuery to ingest, process, and store batch and streaming data reliably.
Designs and maintains scalable data pipelines and cloud-based ETL/ELT workflows using Python, SQL, and Azure/AWS to deliver clean datasets for analytics.
Design and build scalable, cloud-native data pipelines using Python, AWS (Glue, Lambda, DynamoDB), and SQL for global projects with a US client.
Builds and maintains Azure-based data pipelines and ETL workflows using Azure Data Factory, Synapse, Databricks, and Spark, while ensuring data quality and performance.
Designs and maintains AWS-based data pipelines and cloud infrastructure using Python, SQL, and AWS services like Glue and Lambda to build scalable, secure data solutions.
Build and maintain data pipelines, ETL processes, and storage infrastructure to ensure reliable, scalable data flow for analytics and decision-making.
Design and build scalable data pipelines and AI-ready data products using Python, SQL, and cloud platforms to power analytics and machine-learning use cases in regulated enterprise environments.
Build and scale a modern cloud data platform (Snowflake/Databricks) to power analytics and reporting for a MAS-licensed fintech bridging fiat and digital payments.
Builds a new AI-powered data platform from scratch, focusing on full-stack development, data pipelines, lakehouse architecture, and AI-assisted features using React/Next.js, TypeScript, Node.js, Python, and Azure AI tools.
Build and maintain cloud data pipelines for a major Chilean bank, integrating AWS and Azure services to ensure reliable, high-quality data for analytics and BI.
Senior Java engineer leads large-scale data migrations and builds petabyte-level ETL pipelines using Java, Spark, and cloud platforms, while mentoring teams and ensuring data integrity.
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