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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.
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 maintain scalable data pipelines on Azure and Microsoft Fabric, from ingestion to analytics, using Azure Data Factory, Synapse, and Fabric components.
Leads Snowflake-based data-cloud projects for clients, designing scalable architectures, optimizing costs, and mentoring teams while integrating with Azure and Microsoft tooling.
Design and deploy high-performance data analytics solutions using Azure and Microsoft Fabric, including ETL pipelines, data lakes, and Power BI dashboards.
Leads data-architecture and engineering projects for banks and insurers, building modern data platforms (lakes, warehouses, cloud-native) and scalable pipelines to support analytics and operations.
Designs and builds scalable ETL/ELT pipelines and cloud data architectures to transform client data into actionable insights, ensuring quality and security from ingestion to warehouse/lake.
Senior Data Engineer designs data architectures and Databricks pipelines for a major retail company, builds ML/AI agents, and supports Power BI analytics.
Design and build cloud data pipelines and models using Microsoft Fabric and Azure services for enterprise clients.
Lead a team building scalable GCP data pipelines and cloud data warehouses for enterprise clients, using BigQuery, Dataflow, and DevOps practices to enable data-driven decisions.
Build and optimize cloud data pipelines for clients using Spark, Kafka, and cloud platforms like Databricks or Azure, ensuring scalable, real-time data solutions.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform using BigQuery, DBT, and Airflow to deliver clean, documented datasets for analytics and marketing teams.
Build and maintain scalable ETL/ELT pipelines on GCP to feed a modern data platform, enabling analytics and dashboards for an e-commerce and natural-cosmetics retailer.
Senior Data Engineer builds and optimizes cloud-based data pipelines and warehouses using Spark, Kafka, and cloud platforms (Databricks, Snowflake, Azure) to enable real-time analytics and reporting for enterprise clients.
Build and maintain modern GCP-based data pipelines and warehouses for a fast-growing natural-cosmetics e-commerce company.
Build and optimize cloud-based data pipelines for clients in finance, healthcare, logistics, mobility, and climate sectors using Spark, Kafka, and cloud platforms like Azure/GCP.
Build and maintain scalable Azure data pipelines using Azure Data Factory, Synapse, Databricks, and Fabric to transform raw data into actionable insights for BI and analytics teams.
Design and build end-to-end data pipelines on Microsoft Azure, using Data Factory, Data Lake, SQL DB and Analysis Services to deliver production-ready analytics and AI platforms.
Build and maintain AWS-based data pipelines and lakehouse architecture for a large bank’s AI and ESG initiatives, using PySpark, Java, and CI/CD.
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