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Build and maintain ETL/ELT pipelines and data governance for a global finance data warehouse and lakehouse using Microsoft Fabric, Spark, SQL, and Python.
Build and maintain Tableau dashboards and reports to help Oliver Wyman’s leadership make data-driven decisions, using SQL, ETL, and BI tools.
Senior Data Engineer to migrate and modernize a large retail analytics platform from BigQuery to Databricks, building scalable Lakehouse pipelines with PySpark, Delta Lake, and Unity Catalog.
Build and optimize scalable data pipelines using Microsoft Fabric, PySpark, and Delta Lake to power analytics and reporting solutions.
Build and optimize BI dashboards in AWS QuickSight and SQL, turning data into actionable insights for business decisions while collaborating with stakeholders.
Build and own a reliable analytics data layer using Snowflake, dbt, and Metabase to power business decisions and enable self-serve reporting for a SaaS platform serving the promotional products industry.
Design and maintain data pipelines, ETL processes, and cloud-based data solutions to ensure accurate, accessible data for analytics and reporting in an enterprise environment.
Design and maintain scalable data pipelines using Snowflake, Databricks, Python, and SQL to build ETL/ELT solutions and cloud-native analytics platforms for enterprise reporting.
Build and maintain ETL pipelines, streaming data flows, and vector databases to power AI-driven marketing platforms using Databricks, Spark, and GCP.
Build and own a modern Data Lakehouse (Delta Lake) for smart metering and IoT telemetry, migrating legacy systems and ensuring data quality across high-volume energy and building automation workloads.
Build and maintain scalable data pipelines using Snowflake, Prefect, and Python to support AI-driven investment strategies for institutional clients.
Build and maintain analytics-ready data marts and pipelines for a crypto exchange, using dimensional modeling, Spark/Flink, and cloud data tools to power business decisions.
Build and maintain ETL pipelines and data warehouses using Microsoft SQL Server, T-SQL, SSIS, and Snowflake; optimize queries and automate jobs.
Build and maintain scalable data pipelines to collect, process, and analyze website behavior, customer, and transactional data using Airbyte, Python, and dbt.
Build and maintain scalable data pipelines and warehouses using Python, SQL, dbt, and Airbyte to power analytics and ML systems for a media company.
Designs and deploys Microsoft Fabric and AI solutions, building data platforms, analytics, and Copilot Studio agents to turn enterprise data into insights and automation.
Build and maintain Microsoft-centric data pipelines and lakehouse/warehouse architectures to support governed enterprise analytics and operational reporting.
Designs and builds data pipelines, warehouses, and analytics systems using Python, Spark, and cloud platforms like Databricks or Snowflake.
Builds and maintains Microsoft BI solutions using Azure Synapse, Power BI, and SSAS for clients, focusing on ETL, data modeling, and visualization.
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