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Builds and maintains enterprise data warehouses and data lakes, designing ETL/ELT pipelines and backend integrations to ensure reliable data flow across systems.
Designs and builds scalable data platforms using Snowflake, Databricks, and ETL/ELT tools for global clients, while advising stakeholders on architecture and governance.
Build and maintain ELT pipelines for automotive SaaS using dbt, Python, and AWS Redshift, ensuring data reliability and GDPR compliance.
Lead a team building cloud-based data pipelines and warehouses using Databricks, Snowflake, and Azure Fabric to deliver analytics and AI solutions for enterprise clients.
Build and optimize cloud data pipelines using DBT, SQL, and CI/CD in a modern data stack (Snowflake/BigQuery/Redshift) for a product company.
Build and maintain Nutripure’s data platform on GCP, ensuring reliable, fresh data pipelines and enabling analysts with clean models and observability.
Senior Data Engineer designs and builds scalable data platforms (data lakes, warehouses, pipelines) for clients, using cloud tools (GCP/Azure), ETL/ELT (dbt, Snowflake), SQL and Python to deliver reliable, high-performance data solutions.
Build end-to-end data pipelines and cloud-native analytics platforms for finance and consulting clients, using AWS/Azure/GCP, Python, Spark, and MLOps tooling.
Senior Data Engineer builds and governs robust data pipelines and architectures for AI agents in finance, public sector, luxury, and healthcare, ensuring reliability and scalability for production use.
Build end-to-end data pipelines and cloud-native ETL systems for clients, using serverless functions, DevOps, and MLOps to extract, transform, and serve data via data lakes, warehouses, and APIs.
Build and maintain data pipelines and warehouses using dbt, SQL, and cloud platforms like Snowflake or BigQuery.
Build and maintain cloud-based data pipelines in Python and SQL, design modern data platforms (Data Lake, Warehouse), and ensure data quality and observability for analytics and AI projects.
Build and optimize scalable data pipelines and lakehouse infrastructure (Spark, Databricks, Snowflake) for a SaaS data-management platform, and help kick-start early AI use cases.
Build and maintain dbt data models in Snowflake/BigQuery, design layered data architectures, and set up CI/CD pipelines for a 3-month freelance role.
Build and maintain data pipelines using DBT and SQL in a cloud warehouse, ensuring reliable, tested models and CI/CD integration.
Build and maintain robust ETL pipelines, cloud data platforms, and databases to support analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
Build and maintain scalable data pipelines and infrastructure for a healthcare-focused cloud platform, transforming raw data into actionable insights using Python, SQL, and cloud-native tools.
Design and maintain high-performance data pipelines and cloud architectures using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure) to deliver clean, secure data for analytics and AI teams.
Lead a team of Data Engineers to design and deliver cloud-native data platforms and AI solutions for global clients, using Python, Spark, Airflow, and major cloud platforms (GCP, AWS, Azure).
Build and maintain data pipelines and transformations for a SaaS platform serving automotive manufacturers and dealers, using dbt, Python, SQL, AWS S3/Redshift, and Parquet.
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