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Senior Data Engineer designs, optimizes, and maintains enterprise-scale Azure SQL databases and cloud data services, focusing on performance, scalability, and reliability for critical business applications.
Build and maintain data pipelines and cloud data warehouses (Azure, AWS) using PySpark, Databricks, SQL, and Qlik to support analytics and decision-making in a pharma company.
Design and build enterprise-scale BI solutions using Power BI and SSAS, creating dashboards and data models with DAX and SQL for a large tech/telecoms firm.
Build AI agents and Power BI dashboards on Microsoft Azure for clients, bridging tech teams and executives while driving AI transformation through storytelling and demos.
Senior Data Engineer builds and maintains Azure-based data pipelines, Power BI reports, and AI solutions for clients, troubleshooting issues and mentoring junior team members.
Designs and maintains scalable data pipelines and ETL/ELT processes, integrating multi-source data into centralized platforms and ensuring high data quality for analytics.
Design and implement real-time data replication pipelines using Qlik Replicate, configuring CDC and managing hybrid cloud/on-premise data flows.
Designs and implements real-time data replication pipelines using Qlik Replicate, CDC, and hybrid cloud architectures to keep analytics platforms synchronized.
Build and migrate ETL/ELT pipelines on Databricks and AWS for a global fund-services provider, using Delta Lake, Spark, and AWS Glue.
Oversee data engineering and BI teams, build data warehouses, and create Power BI/OBIEE dashboards to deliver actionable healthcare insights.
Build and maintain Azure-based data pipelines and Power BI reports for clients, troubleshooting issues and mentoring junior engineers using Microsoft’s data stack.
Senior role designing BI dashboards, automating workflows with RPA, and building ML models to drive business decisions using Qlik, Python, and data pipelines.
Build and migrate ETL/ELT pipelines on Databricks Delta Lake and AWS, using PySpark, SQL, and AWS Glue to process batch and streaming data for a global fund-services provider.
Builds and maintains Qlik Sense dashboards and data models, pulling from Snowflake/SQL Server to deliver interactive analytics for business users.
Builds and maintains ETL pipelines, data models, and Spark-based transformations on Azure and Databricks to power analytics and reporting.
Build and maintain data platforms and reporting systems to support AI-driven decision-making and Executive Education rankings using Power BI, Azure, and Python/SQL.
Builds and maintains a next-gen enterprise dashboard and APIs for an AI-driven retail pricing platform, using TypeScript, React/Next.js, and REST/GraphQL.
Lead statistical modeling and machine learning for demand forecasting in a global life-sciences company, partnering with planners to improve inventory and supply plans.
Senior AWS Data Engineer designs and builds scalable data pipelines and cloud data platforms using AWS services like S3, Glue, and Redshift to power analytics and AI/ML initiatives.
On-site BI consultant builds Qlik dashboards, data models, and automation for clients in distribution and manufacturing, using Qlik Sense/View and scripting.
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