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Build and maintain scalable Azure data pipelines and architectures using Data Factory, Databricks, and Synapse to ingest, transform, and integrate data for analytics and reporting.
Build and maintain AWS-based data pipelines and ETL workflows using Python, Spark, and Glue to feed analytics and reporting systems.
Designs and maintains data pipelines using Microsoft Fabric and Azure tools to build scalable analytics platforms for enterprise clients.
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and optimize data workflows for enterprise clients.
Designs and maintains scalable data pipelines, ETL/ELT processes, and cloud-based data platforms to support analytics and AI in high-security sectors like defense.
Build and maintain Preply’s scalable data lake and real-time ingestion pipelines, ensuring trusted, production-grade data for analytics, ML, and product features.
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and transform data for clients.
Build and maintain data pipelines, warehouses, and lakes for Emburse’s SaaS products using Snowflake, Databricks/Spark, AWS, and Looker.
Build and maintain scalable data pipelines and warehouses in Azure for ING Spain, ensuring regulatory compliance and high-quality reporting for banking and finance.
Build and maintain cloud data pipelines on AWS, integrate corporate data sources (SAP, Salesforce), and collaborate with data science teams to deliver scalable, high-quality data solutions for enterprise clients.
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting, processing, and modeling data with PySpark, ADF, and KQL for analytics and reporting.
Build and maintain ING’s data platforms, designing ETL pipelines and data models in Azure to support regulatory and analytical reporting in a DevOps environment.
Build and optimize data pipelines (ETL/ELT) in Azure to integrate and clean hotel and guest data, enabling analytics and Power BI dashboards for business decisions.
Designs and maintains Azure Synapse data pipelines and Data Lake architectures, writes Python ETL processes, and models data for renewable-energy analytics.
Build and maintain end-to-end data pipelines on Azure Synapse, model a Data Lake, and orchestrate Python workloads on AKS to deliver KPIs for renewable-energy operations and reporting.
Build and maintain SeQura’s data pipelines and infrastructure, transforming raw payment data into reliable analytics tools for teams across the fintech.
Build and optimize large-scale data pipelines and lakes on AWS Databricks, orchestrating ETL workflows and ensuring data quality for a global risk-intelligence platform.
Designs and builds scalable data pipelines on GCP for a capital-markets fintech, integrating financial data sources and optimizing warehouse/lake solutions.
Build and optimize scalable data pipelines and analytics infrastructure using Python, Spark, Airflow, and ClickHouse to power Atolls' global shopping platform.
Lead a team to build and maintain Azure-based data pipelines and storage, ensuring performance and quality while mentoring engineers.
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