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Designs and builds scalable data pipelines and warehouses for international clients, ensuring high-quality data systems and reliable performance.
Design and automate AWS-based data infrastructure using Terraform and Python, building scalable pipelines for ingestion, transformation, and validation.
Designs and builds scalable data pipelines, warehouses, and ETL processes using GCP, BigQuery, Python, SQL, dbt, and Airflow for global clients.
Builds and maintains scalable data pipelines for gaming analytics, ensuring data quality and supporting real-time LiveOps using Python and cloud platforms.
Designs and implements cloud and AI-driven data pipelines for enterprise clients, using SQL and Python to build scalable solutions.
Build and optimize data pipelines for a proteomics platform using bioscience data and software engineering to improve early disease detection.
Builds and maintains AI-driven data pipelines on AWS and Snowflake to power analytics and SaaS risk-exchange operations using Python.
Designs and maintains data pipelines for a lakehouse and AI platform at a global investment bank, using Python/Java and distributed processing frameworks.
Builds and maintains data pipelines and warehousing systems to power product analytics and insights at Zendesk.
Build cloud-based data platforms on Azure and AWS to power analytics and decision-making using SQL, Python, and big data tools.
Builds ETL pipelines and hybrid data platforms for healthcare revenue cycle management systems, integrating onsite and offshore workflows.
Builds and maintains GCP-based data pipelines and collaborates on data solutions using SQL, Python, and GCP tools.
Build scalable data pipelines and infrastructure for AI systems using Python, SQL, Spark, and cloud platforms to power LLMs, retrieval systems, and agentic architectures.
Builds APIs and data pipelines, contributes to analytics and admin tools using Python, SQL, and cloud tech.
Builds and maintains ETL pipelines, deploys ML models to production, and monitors data flows and model performance using Python, SQL, and Azure.
Senior Data Engineer builds and maintains a high-performance market data platform, processing billions of records to feed real-time trading and analytics systems using Python, SQL, and Parquet.
Design and maintain Azure Data Factory pipelines, orchestrating ETL/ELT workflows and optimizing warehouse layers (Azure SQL/Synapse) for enterprise clients.
Builds and optimizes Snowflake data models and ETL pipelines in Python to process large volumes of real-estate data for a global services provider.
Leads a team of data engineers to design and implement complex data pipelines using SQL Server SSIS, Active Batch, T-SQL, and Go Anywhere, while mentoring junior engineers and ensuring project delivery.
Leads a team of data engineers to build and maintain data pipelines and warehouses using SQL Server SSIS, T-SQL, and Go Anywhere for a utilities-focused agency.
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