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Design and maintain robust data pipelines on the Foundry platform, ensuring data quality while collaborating with engineers and ML experts.
Build and maintain cloud data pipelines on AWS using DBT, Spark/PySpark, Python, and SQL to transform raw data into business insights for clients.
Design and optimize scalable data pipelines using Apache Spark and AWS for batch and near-real-time processing, ensuring reliable datasets for analytics and ML.
Build and maintain data pipelines and dashboards for Mondelēz’s Media Data Platform, integrating adtech data to deliver AI-driven insights and scalable reporting tools for internal stakeholders.
Build end-to-end reporting solutions for Dynamics 365 using Azure Synapse, Microsoft Fabric, and Power BI, focusing on HR, finance, logistics, and project management dashboards.
Designs and maintains scalable Python-based ETL pipelines using PySpark and AWS Glue to process large datasets in cloud environments.
Build and maintain Python-based ETL pipelines using PySpark and AWS Glue to process large datasets, ensuring clean, scalable data workflows.
Build and maintain AWS-based ETL pipelines for a banking client, migrating legacy systems to a Lakehouse architecture using PySpark and Python.
Senior Data Engineer builds and maintains scalable ETL pipelines using Python, Snowflake, and Azure, focusing on cloud data warehousing and dimensional modeling.
Senior Azure Data Engineer designs and builds data pipelines using Azure Data Factory, Databricks, and SQL, focusing on analytics and ML projects for an outsourcing client.
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL to move and transform data from APIs, databases, and files into scalable data warehouses.
Build and optimize ETL pipelines using Python and PySpark on Azure Synapse Analytics to move and transform data for clients.
Designs and maintains ETL pipelines in Azure Synapse using Python (PySpark) to build data storage structures and ensure data quality.
Builds and optimizes ETL pipelines using Python (PySpark) and Azure Synapse Analytics to move and transform data efficiently.
Builds and maintains ETL pipelines using Python (PySpark) in Azure Synapse Analytics, working with data architects to design storage structures in a fast-paced consulting environment.
Builds and maintains cloud-based data pipelines using PySpark and Databricks on Azure, AWS, or GCP to support analytics and reporting workflows.
Builds and maintains data pipelines in Microsoft Azure, integrating sources via ETL/ELT, modeling dimensional schemas, and delivering analytics-ready datasets for Power BI.
Senior Data Engineer builds and maintains cloud data pipelines on Azure using Data Factory, Databricks, and PySpark.
Builds and maintains serverless ETL pipelines on AWS for a banking client, focusing on data governance and cataloging using Glue, Lambda, Step Functions, and PySpark.
Designs and runs AWS-based ETL pipelines and data cataloging for a banking client, using Glue, SQL, and PySpark in a serverless setup.
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