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Builds and maintains industrial data pipelines using PI System and Kepware to connect factory floor data to Power BI dashboards, ensuring data quality and traceability for performance improvements.
Build and maintain ML pipelines and deep-learning models for satellite altimetry data to monitor hydrology and water resources.
Builds and maintains Databricks pipelines and Power BI dashboards to transform HR data into workforce insights for a global team.
Build and maintain data pipelines in Azure Databricks with PySpark/SQL, then create and deliver Power BI dashboards to help teams make data-driven decisions.
Build and maintain Snowflake data pipelines for a large financial-services outsourcing team, ingesting and transforming data to support analytics and reporting.
Build and maintain data pipelines and deploy generative AI models (LLM/RAG) on Azure OpenAI and Databricks for a cloud-based AI platform.
Build and deploy AI-powered data pipelines and ML models for client marketing analytics using Python, Airflow, and BigQuery, then visualize insights in Power BI or Looker.
Build and deploy scalable generative AI solutions using Python and MLOps/Docker/Kubernetes while ensuring reliability and compliance in a regulated industrial environment.
Build and scale generative AI systems using Python and MLOps/DevOps practices, collaborating with cross-functional teams to deploy and optimize AI models.
Build and maintain a modern AWS-based data lakehouse and ETL pipelines for a large bank using PySpark, Java, and cloud-native tooling.
Design and deploy end-to-end data analytics solutions on Azure and Microsoft Fabric, building modern data platforms, ETL pipelines, and Power BI reports for enterprise clients in finance, healthcare, mobility, and climate sectors.
Builds and maintains the ML infrastructure that powers real-time and batch data pipelines for Voodoo’s AI products using Python, Flink, and Spark.
Consultant Data Engineer builds and deploys secure, FinOps-optimized data pipelines on Microsoft Fabric and Azure for clients, designs scalable solutions, and trains teams on best practices.
Build and maintain Azure-based data pipelines using services like Data Factory and Data Lake, collaborating with clients to drive cloud adoption.
Leads end-to-end Microsoft Fabric and Azure Data architectures for clients, designing pipelines, governance, and analytics solutions while mentoring teams and delivering training.
Build and champion a data platform on AWS (S3, EMR, Glue, Athena) to support pipelines and analytics, while coaching teams on best practices and tooling.
Build and maintain scalable data pipelines on Azure and Microsoft Fabric, from ingestion to analytics, using Azure Data Factory, Synapse, and Fabric components.
Build and optimize data pipelines, modern data platforms, and real-time integrations using Talend and related tools while advising clients on data architecture and best practices.
Leads a team building and optimizing Microsoft Fabric and Azure-based big-data pipelines, mentors peers, and contributes to the tech community.
Build and optimize Snowflake-based data pipelines and cloud databases for clients, focusing on SQL/ETL, modeling, and real-time data flows.
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