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Design and build GCP-based data pipelines and real-time BigQuery solutions for cloud and data-focused projects.
Build and maintain data pipelines and semantic layers on GCP to power investment-decision tools and automate internal processes for a sustainable-finance asset manager.
Build and maintain scalable data pipelines and architectures for enterprise clients, using Python, Spark, Airflow, and cloud storage to enable data-driven decision-making.
Build and scale a global Data Lakehouse on AWS to feed quant trading desks; write Python pipelines, model data in lake/OLAP, and tune distributed systems for low-latency access.
Senior Java Big Data consultant designs, builds, and optimizes large-scale data pipelines and Spark clusters for enterprise clients using Azure Cloud and on-prem systems.
Build and maintain Chance’s data stack: migrate PostgreSQL to ClickHouse, set up pipelines with DBT/Airbyte/Prefect, and ensure reliable analytics for a dating platform.
Design and maintain bioinformatics pipelines for single-cell transcriptomics data, integrating them into AWS infrastructure to process raw sequences into clinically meaningful oncology diagnostics.
Build and maintain scalable data pipelines on GCP for a large media company, using Python and SQL to ensure high-quality data flows.
Designs, builds, and optimizes cloud data pipelines using Azure Data Factory, AWS Glue, or GCP Dataflow with Python, Spark, and SQL.
Lead a team to design and build scalable data pipelines and platforms for clients, advising on cloud and big-data tech while enforcing DevOps, FinOps, and governance best practices.
Design and build Snowflake-based data warehouses and ETL pipelines for enterprise clients, using SQL and cloud tools to deliver clean, scalable data solutions.
Lead a small team to design and deliver Snowflake-based data pipelines and AI workflows for Sanofi, using DBT, Airflow, Python, and AWS to scale GenAI and agentic AI systems across a global biopharma enterprise.
Build IoT data pipelines: design real-time data architectures, implement MQTT/Kafka brokers, optimize time-series storage, and create monitoring dashboards.
Build and maintain data pipelines, transform raw data into dashboards, and unit/integration test solutions using Python/Scala, SQL, and cloud platforms like GCP/Azure/AWS.
Build and maintain robust data pipelines and ETL processes using Talend, SQL, and Oracle/MS SQL to feed a Data Warehouse, with a future migration to Snowflake.
Build and maintain scalable data pipelines using Python, SQL, Spark, and cloud services (Azure/AWS/GCP) to deliver clean, reliable datasets for analytics and AI teams.
Build and optimize scalable data platforms, develop robust ETL/ELT pipelines, and mentor junior engineers using Python, SQL, Spark, and cloud tools like AWS/Azure/GCP.
Build and maintain data pipelines, optimize Snowflake architecture, and deliver BI-ready datasets for business teams using ETL and Power BI.
Design and optimize cloud-based data pipelines using Python, GCP, and Hadoop for high-impact projects in an agile team.
Lead Data Engineer designs and scales Big Data pipelines and cloud infrastructures for clients, using Spark, Kafka, Kubernetes and DevOps practices to ensure high-performance, scalable data processing.
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