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Build and maintain robust ETL pipelines, cloud data platforms, and databases to support analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
Design and build large-scale data pipelines on Azure/Databricks using PySpark, ensuring quality and performance for a major electricity distributor.
Senior Data Engineer designing and building scalable data pipelines on Microsoft Fabric and Azure, using Python/PySpark, SQL, and Power BI to deliver analytics solutions for enterprise clients.
Build and maintain end-to-end data pipelines on Azure Data Factory and Microsoft Fabric, integrating large-scale data from APIs and databases to support airline operations.
Builds and maintains Azure data pipelines using Data Factory, Synapse, PySpark, and Power BI to process and analyze enterprise data.
Builds and maintains a Microsoft Fabric/Synapse data warehouse, ETL pipelines, and Power Platform solutions to consolidate Dynamics 365, Salesforce, and SQL data for BI and AI use-cases.
Build and maintain data pipelines in Microsoft Fabric, centralize student, marketing, and LMS data into a secure lakehouse, and deliver Power BI dashboards for admissions, marketing, and academic performance.
Design and build modern data platforms, including pipelines, Lakehouse/Data Warehouse architectures, and cloud data solutions using Snowflake, Databricks, and Python/Spark.
Design, build, and optimize modern data pipelines and platforms for enterprise clients in finance, transport, and public sectors using SQL, NoSQL, and cloud tools like GCP BigQuery and AWS Glue.
Designs and maintains Azure-based data pipelines to ensure reliable, high-quality data flows for analytics and reporting.
Senior Data Engineer builds and maintains ETL pipelines, data warehouses, and cloud-based data platforms using Microsoft SQL Server, Talend, and BigQuery to support analytics and business needs.
Build and maintain scalable data pipelines on Microsoft Azure and Databricks using PySpark, SQL, and CI/CD, while collaborating with cross-functional teams to deliver end-to-end data solutions.
Designs and maintains secure, high-quality data pipelines using Python, SQL, and Azure Data Factory for enterprise clients.
Design and deploy large-scale data pipelines on Azure Databricks using PySpark, evolving the data architecture for a major ESN client.
Designs, builds, and optimizes cloud data pipelines using Azure Data Factory, AWS Glue, or GCP Dataflow with Python, Spark, and SQL.
Design and build Snowflake-based data warehouses and ETL pipelines for enterprise clients, using SQL and cloud tools to deliver clean, scalable data solutions.
Build and maintain scalable data pipelines using Python, SQL, Spark, and cloud services (Azure/AWS/GCP) to deliver clean, reliable datasets for analytics and AI teams.
Build and own a scalable Azure-based data lake and analytics platform, from ETL pipelines to embedded BI and future ML/GenAI exploration for industrial clients.
Designs and maintains cloud-based data pipelines and platforms using Python, SQL, and Azure Data Factory for a data-consulting firm.
Build and maintain Azure cloud infrastructure using IaC (ARM/YAML), CI/CD pipelines (Git/Azure DevOps), and Kubernetes (AKS) while ensuring security and high availability for a managed-services client.
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