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Design and build scalable Azure data pipelines and Microsoft Fabric analytics solutions using PySpark, SQL, and lakehouse architecture to transform raw data into business insights.
Build and maintain Snowflake-based data pipelines and dimensional models for financial market data, using dbt and SQL to support risk and trading analytics.
Lead a team building and scaling data pipelines, warehouses, and AI-powered data tools for a global crypto exchange, driving real-time analytics and Agentic AI adoption.
Senior/Staff Data Engineer at OKX, a crypto exchange, responsible for designing analytics-ready data marts, building batch and real-time data pipelines, and collaborating with analytics teams using technologies like Spark, Flink, and SQL.
Build and maintain ETL pipelines, optimize SQL Server databases, and design data warehouses using SSIS, T-SQL, and Snowflake.
Build and maintain enterprise ETL pipelines using Microsoft SSIS, optimizing SQL Server data flows and supporting BI reporting for clients across industries.
Senior Data Engineer builds and maintains scalable data pipelines and warehouse models to deliver trusted insights for Salesforce’s AI CRM and Slack integrations.
Builds core data infrastructure—pipelines, semantic layers, and scalable models—to power analytics and AI at enterprise scale using Python/Java/Scala and modern data engineering practices.
Senior Data Engineer Consultant advises on modern data platforms, AI-native architectures, and enterprise-scale design for a partner company in India, focusing on strategic roadmaps rather than day-to-day development.
The Senior Commercial Analyst serves as the technical leader for Power BI, data architecture, and commercial analytics. This role is responsible for building scalable, enterprise-grade analytics solutions that…
Lead a team to design and build P&G’s global Consumer Data Platform on Google Cloud, including pipelines, warehouses, and governance to unlock business insights while protecting consumer data.
Build and optimize data pipelines, ELT/ETL workflows, and analytics models in Snowflake and dbt to power business intelligence and product metrics for a global identity-security platform.
Analyzes healthcare sales and operational data to create dashboards and reports that guide business strategy using SQL, BigQuery, Tableau, and Python.
Lead the design and optimization of a data warehouse and BI solutions using Power BI and Azure, integrating diverse data sources and mentoring teams to drive business reporting.
Lead the data and reporting capabilities for a cloud-native dealer management system, ensuring dealers get actionable insights from accounting, sales, and operations data.
Build and optimize scalable data pipelines and lakehouse architectures using Databricks, Spark, Kafka, and Airflow to power analytics, ML, and newsroom workflows at a major media company.
Designs and governs Masco’s enterprise data model and master data foundations for POS and retail analytics, setting standards for modeling, attribution, and data quality to build an AI-ready foundation.
Designs and implements enterprise data architecture for a large healthcare system, ensuring secure, interoperable data pipelines and models that support analytics, reporting, and AI-driven patient care improvements.
Build and optimize ETL/ELT pipelines and data models for enterprise clients, using Python, SQL, Spark, and Azure to stabilize reporting and improve data quality across finance, procurement, and workforce systems.
Build and optimize data pipelines, warehouses, and feature stores that power AI-driven CRM insights using SQL, Python, Spark, and Airflow.
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