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Designs and builds scalable data pipelines for finance and supply chain systems, ensuring reliable data ingestion and transformation in a warehouse and data lake environment.
Build and maintain ETL/ELT pipelines in Azure Data Factory and Fabric, then model data in Power BI for analytics and reporting.
Build and maintain AWS-native data pipelines and warehouses for telecom analytics using S3, Redshift, Glue, and Python/SQL.
Designs and maintains scalable ETL/ELT pipelines and dimensional models to feed a data mart, ensuring data quality and reliability for analytics.
Designs and maintains cloud-based data pipelines and ELT workflows using GCP, BigQuery, dbt, and Airbyte to ensure accurate, scalable analytics for reporting and decision-making.
Builds cloud-based ETL/ELT pipelines and optimizes data models using Python, SQL, Snowflake, and BigQuery to support analytics.
Build and maintain a cloud data platform using Azure Databricks and Power BI, designing ETL/ELT pipelines and optimizing data quality and performance.
Designs and builds ETL/ELT pipelines in Python and BigQuery to process and transform data for analytics and reporting.
Build and lead the data engineering function for a healthcare tech platform, designing scalable warehouses and ETL/ELT pipelines to ingest and process health data.
Build and optimize ETL/ELT pipelines in Databricks using Python and SQL to support BI reporting for a BPO client.
Designs scalable Delta Lake data architectures with ACID transactions and time-travel queries, building ETL/ELT pipelines using Spark and Parquet storage.
Design and maintain SAP-native data pipelines for enterprise analytics, integrating ECC/S/4HANA with BW/4HANA, Datasphere, and HANA to build automated ETL/ELT workflows.
Builds Python-based data pipelines and AI/ML integrations for life-science labs, translating assay workflows into Benchling, AWS, and FastAPI services while ensuring regulatory compliance.
Builds and optimizes data pipelines and warehouses using Azure Data Factory and MSSQL to feed analytics and AI models for a mortgage broker.
Design and scale Snowflake-based cloud data platforms, build ELT/ETL pipelines, and ensure data quality and governance for analytics and BI tools.
Lead enterprise integration and data engineering for a neuroscience biopharma, designing secure, compliant data flows between ERP, CRM, clinical systems, and analytics platforms.
Designs and builds scalable AWS-based data pipelines, data lakes, and ETL/ELT workflows while ensuring data quality, governance, and cost optimization.
Design and maintain scalable ETL/ELT pipelines and data platforms to support BI and AI initiatives for a real-estate technology company.
Designs and maintains ETL pipelines to move data from on-premise ERP and legacy systems into analytics environments, with a focus on Oracle ERP and SQL-based transformations.
Designs and maintains scalable data pipelines and ETL/ELT processes, integrating multi-source data into centralized platforms and ensuring high data quality for analytics.
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