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Lead a team to build and maintain big-data pipelines using Hadoop/Spark and Python/Java, enabling faster, data-driven business decisions in a hybrid setup.
Builds and optimizes AWS-based ETL pipelines and data warehouses using SQL and Kimball methodology to automate stock-level planning and replenishment for retail.
Design and deliver enterprise-scale data and AI solutions for clients, focusing on modern analytics and Microsoft technologies.
Builds and maintains the company’s new enterprise data platform, integrating diverse data sources and enabling analytics for a greenfield transformation.
Builds and optimizes cloud data pipelines and platforms using PySpark, SQL, and Microsoft Fabric to enable enterprise-wide analytics and reporting.
Designs enterprise-scale data and AI solutions using Microsoft Fabric, Azure, and Power BI, advising clients on cloud strategy and AI adoption.
Designs and builds a modern Microsoft-centric data platform to turn enterprise data into scalable analytics, AI, and reporting capabilities.
Drive a manufacturing firm’s digital transformation by analyzing systems, processes, and stakeholder needs to implement new technology solutions.
Build and deploy agentic GenAI solutions on AWS using SageMaker, Terraform, and MLOps practices for a leading enterprise.
Leads Microsoft Fabric data-architecture engagements for a consultancy, designing Azure-based analytics solutions and guiding clients from concept to delivery.
Build and optimize AWS-based data pipelines and workflows for a small consultancy serving enterprise clients.
Build and maintain Java-based services and RESTful APIs using Spring Boot and cloud platforms, while mentoring peers and championing engineering best practices.
Builds and enhances a modern enterprise data platform using Microsoft Fabric and Azure, integrating SQL, APIs, and SaaS data sources.
Build Power BI dashboards and Microsoft Fabric datasets to turn business data into actionable insights for a company modernizing its analytics platform.
Build and optimize AWS-based data pipelines and warehouses to improve analytics and decision-making for a consultancy serving enterprise clients.
Junior Data Engineer builds and optimizes AWS-based data pipelines and ETL workflows using SQL, Python, and data modeling to improve reliability and decision-making.
Build and maintain data pipelines and dashboards to track ecommerce performance and delivery logistics using SQL, Python, and BI tools.
Designs and optimizes AWS-based data pipelines, ETL workflows, and scalable data warehouses for analytics and reporting.
Design and build scalable AWS data pipelines, integrating multiple sources with Python/PySpark and SQL to deliver clean, high-impact datasets for business teams.
Build and optimize AWS-based data pipelines and warehouses using ETL, modeling, and cloud architecture to support analytics and decision-making.
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