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Design and build scalable ETL/ELT pipelines and data warehouses using BigQuery, Redshift, Synapse, Spark, Kafka, and dbt to power analytics and BI for enterprise clients.
Build and optimize Power BI dashboards and data models for a tax/financial services automation platform using DAX, SQL, and Azure Data Services.
Build and maintain scalable ETL/ELT pipelines using Python, Snowflake, Databricks, and Azure Data Factory to process and transform data for analytics and reporting.
Design and run PySpark/SQL tests to validate Azure-based data pipelines, ETL jobs, and data quality in a fintech and enterprise-product environment.
Builds and maintains data pipelines and BI dashboards for clients, using SSIS, Azure Data Factory, SQL Server, and Power BI to turn raw data into strategic insights.
Build and automate data pipelines, migrate legacy systems, and ensure data quality using SQL, Python, and cloud platforms like Azure.
Designs and migrates data pipelines and warehouses using Azure SQL, Data Factory, and Snowflake, and builds reports in Power BI.
Designs and builds Azure and GCP data pipelines for Collections operations, automating workflows with Azure Data Factory, Synapse, and SQL Server.
Build and optimize AI-assisted ETL pipelines to integrate and transform healthcare data for analytics and compliance, using SQL, Talend/SSIS, and cloud tools.
Lead the design and modernization of enterprise data platforms using Informatica IDMC and Databricks Lakehouse, guiding large-scale data transformations for regulated industries.
Build and optimize scalable data pipelines on Azure, integrating diverse sources into efficient ETL and warehouse solutions using Databricks, Data Factory, and Spark.
Senior Data Engineer to design, build, and optimize data pipelines and warehouses, migrating 1,000 pipelines to Snowflake using Talend, Active Batch, Docker, and GitHub.
Build and optimize cloud data pipelines and databases using SQL, Python, and Azure tools to support analytics and reporting for clients.
Design and implement Azure-based data pipelines using Data Factory, Synapse Analytics, and Microsoft Fabric, with Power BI integration for reporting.
Senior Data Engineer builds and maintains enterprise data products on Microsoft Fabric, designing scalable ELT pipelines and lakehouse solutions while collaborating with business stakeholders to deliver trusted, reusable data assets.
Builds and maintains data pipelines in Snowflake and Azure Data Factory, troubleshoots incidents, and collaborates with technical and non-technical teams.
Build and maintain ETL pipelines with Azure Data Factory and Databricks, process large datasets with Spark, and deploy ML models using Python and Azure.
Designs and maintains scalable Azure-based data pipelines and cloud-native architectures, ensuring data quality and collaborating with teams to meet business needs.
Build and maintain Snowflake-based data pipelines and EDW platforms using Azure Data Factory, monitoring jobs, resolving incidents, and optimizing performance in a 24/7 support model.
Build and maintain large-scale data pipelines using PySpark on Databricks, implementing ETL/ELT processes and lakehouse architectures for analytics.
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