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Data Engineer to migrate a company’s data stack from Amazon Redshift to Databricks, building and running ETL pipelines while collaborating with stakeholders.
Build and maintain AWS-based data pipelines and ETL processes for a global financial data provider, using Python, Spark, and modern cloud tools to enable AI-ready analytics.
Senior role managing Databricks environments, Delta Lake tables, and multi-cloud data pipelines using Python, SQL, and PySpark for reliable data delivery.
Build data pipelines, AI tools, and cloud infrastructure for clients using Python, SQL, and cloud platforms like Snowflake and AWS/GCP/Azure.
Senior Data Engineer builds and scales data pipelines and analytics platforms for Amazon Music’s DISCO program, enabling data-driven decisions with AWS services like Redshift, EMR, and S3.
Build and maintain cloud-based data pipelines and warehouses for clients using AWS, SQL, and ETL tools like SnapLogic or Informatica.
Build and maintain AWS-based data pipelines and warehouses using Python, SQL, and services like Glue, Redshift, and S3 to enable analytics and ML feature stores.
Designs and builds AWS-based data pipelines and feature stores using Python, SQL, and tools like Glue and Sagemaker to support analytics and ML workloads.
Designs, builds, and optimizes ETL/ELT pipelines and data warehousing solutions to support HR and payroll analytics using SQL, Python, and cloud platforms like AWS Redshift or Snowflake.
Design and scale high-performance ELT pipelines for a centralized data warehouse, collaborating with cross-functional teams to build a robust, scalable data platform.
Lead a data engineering team to design and scale a robust, end-to-end data architecture for a gaming platform, ensuring reliable reporting, analytics, and LLM consumption while optimizing AWS costs and performance.
Lead a team of nine engineers to build and maintain cloud data pipelines using Informatica and AWS services, extracting data into Redshift and Denodo for analytics.
Build and maintain ETL/ELT pipelines and data warehouses to power HR analytics and reporting for a cloud-based payroll and HCM platform.
Designs and builds ETL pipelines to move and transform data from multiple sources, then builds dashboards for analytics and reporting.
Design and build ETL pipelines, transform data from multiple sources, and create dashboards for a government logistics data project using Python, PL/SQL, and visualization tools.
Senior Data Engineer builds and maintains scalable data pipelines and infrastructure using AWS, Databricks, and Kafka to support analytics and AI initiatives in a large media company.
Build and maintain cloud-native AI and web apps using AWS, React, NextJS, Java, NodeJS, and Python; collaborate with architects on scalable microservices.
Builds ETL/ELT pipelines and inference layers for privacy-safe audience segmentation using aggregated historical data in cloud data warehouses.
Designs and governs enterprise-wide data architecture, canonical models, and cross-system integrations for ERP, CRM, and HRIS to ensure data integrity and analytics readiness.
Designs and evolves a global data platform for real-time analytics, AI/ML integration, and compliance, using Python/Go/Java, Spark, and lakehouse architectures.
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