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The Vice President of Technical Support is an executive leader of leaders responsible for setting the global vision and delivering world-class technical support experiences to Salesforce’s most mission-critical,…
Designs and builds scalable data pipelines, warehouses, and analytics platforms on cloud (Azure/AWS/GCP) to power BI dashboards and reporting.
Build data pipelines and architectures (Snowflake, Databricks, dbt) and turn data into decisions with BI dashboards (Tableau, Figma), plus AI workflows and prompt engineering in a 5-month Milan-based academy.
Build and maintain Power BI dashboards and Microsoft Fabric data pipelines to turn business needs into clear, reliable analytics tools for Sonepar’s teams.
Lead a team to design and operate enterprise-scale data pipelines, integrations, and governance for ABB’s Digital Engineering CoE, enabling trusted data for Digital Twins, knowledge graphs, and sustainability platforms.
Build and maintain cloud-based data platforms and AI solutions, integrating heterogeneous data sources to enable advanced analytics, Generative AI, and machine-learning use cases for supply-chain and industrial clients.
Build and maintain scalable data pipelines, ETL processes, and cloud-based data warehouses to support analytics and reporting for a specialty insurance firm.
Builds and maintains ETL/ELT pipelines and distributed data architectures using PySpark, SQL, and Azure services to modernize a company’s data stack.
Designs and builds scalable cloud data platforms on GCP, including Data Warehouses and Data Lakes, using BigQuery and ETL/ELT pipelines, and supports BI tools like Power BI or Tableau.
Build and maintain data pipelines, dashboards, and analytics for a biomedical charity’s grant management and research funding systems, using SQL, cloud platforms, and BI tools.
Lead a team building cloud-native data platforms and AI pipelines, owning product backlogs and driving scalable solutions for Generative AI, LLMs, and vector databases.
Design and build distributed data pipelines and modern data platforms (Microsoft Fabric/Databricks) to integrate and model data for analytics and reporting.
Build and maintain Databricks-based data pipelines and AI-ready data products, integrating structured and unstructured data for analytics, reporting, and AI use cases.
Builds and maintains ELT pipelines, migrates legacy systems to modern data stacks, and designs BI models using SQL, ETL/ELT, and dbt.
Designs and builds modern data platforms and ETL/ELT pipelines on AWS and GCP using Python/PySpark, following Medallion architecture and cloud best practices.
Build and maintain ETL/ELT pipelines and BI platforms to feed ML/AI systems, focusing on data governance, observability, and performance.
Build and maintain Google Cloud-based data pipelines and models to power real-time analytics and AI insights for a global fitness-tech leader.
Builds and maintains data pipelines, KPIs, and BI dashboards on Databricks, integrating AI-driven analytics for a 2.5M-customer platform.
Build and maintain data pipelines and analytics for mobility datasets using Python, SQL, and Databricks; validate data quality and deliver insights to clients.
Designs and builds BI solutions on Microsoft Azure for enterprise clients, including data pipelines, DWH, and Power BI dashboards.
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