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Lead a team building and scaling data pipelines using Java and AWS services like Databricks, collaborating with cross-functional teams to deliver robust data solutions.
Lead AWS-native data pipelines and onboarding for AI/ML workloads, building scalable ingestion and cloud architectures in Python.
Designs, builds, and optimizes scalable data pipelines and ETL/ELT processes on Google Cloud Platform to support analytics and decision-making.
Lead a team to build and maintain automated data pipelines and BI solutions, modernizing manual processes into scalable workflows for analytics and model scoring.
Lead the design and scaling of data pipelines and warehouses for healthcare analytics, mentoring engineers and ensuring reliable, privacy-compliant data solutions.
Leads a team to build and maintain cloud data platforms on AWS, Azure, or GCP using Python, SQL, and Git.
Lead a team to build and scale a modern data platform for reliable analytics and product decisions, focusing on automation, CI/CD, and data contracts.
Lead a large-scale enterprise data platform migration from AWS/Databricks to GCP, designing BigQuery/Dataflow pipelines and mentoring engineers while ensuring data integrity and governance.
Lead a team of analytics and data engineers to build and maintain a modern data platform that supports critical business decisions at scale.
Leads the design, build, and deployment of a modern Databricks-based data platform, working with a cross-functional team to deliver scalable data solutions.
Lead a team building data pipelines and cloud infrastructure on Google Cloud using Python, SQL, and Terraform for enterprise clients.
Senior Data Engineer leads a team to migrate legacy data platforms to Google Cloud, ensuring integrity and mentoring junior engineers while managing cross-functional collaboration.
Leads a small team to build and maintain a reliable, scalable data platform for a healthcare company, improving data quality and integrations.
Senior Data Engineer builds and maintains scalable data infrastructure using Databricks and Medallion Architecture to create strategic insights for a SaaS-scale-up.
Lead the build-out of a modern MarTech platform for a bank, defining data engineering strategy, integrating CDPs with CRM/marketing tools, and enabling personalized customer experiences using GCP and event-driven architectures.
Leads Azure-based data engineering projects, builds and deploys data pipelines, and implements algorithms while providing hands-on coding and technical guidance to clients.
Build and maintain marketing analytics infrastructure by implementing event tracking, conversion setups, and GDPR-compliant data pipelines for a fintech company.
Senior Data Engineer designs, maintains, and improves the data warehouse and platform, ensuring reliable data flows and integrations using SQL, Python, dbt, and Power BI.
Lead a team migrating a legacy data platform to Databricks, design scalable data products, and coach peers while shaping the organization’s modern data architecture.
Design and build modern data platforms using Microsoft Fabric, develop data pipelines with Python and PySpark, and contribute to AI applications for healthcare and government sectors.
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