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Lead a team building and optimizing enterprise-scale data pipelines, warehouses, and feature stores to power AI/ML and analytics at a global healthcare leader.
Lead a team to design and build enterprise-scale data pipelines and architectures for AI/ML use cases in a global healthcare company.
Senior Data Engineer building and scaling a modern data platform to turn business needs into robust, high-quality data solutions and drive data-driven decisions.
Build and maintain scalable data pipelines and infrastructure using Azure and Databricks to support advanced analytics and machine learning for global healthcare diagnostics.
Designs, builds, and maintains data pipelines and ETL flows for life-sciences clients using Python and databases, while collaborating with cross-functional teams to deliver data-driven solutions.
Build and model data pipelines for AI agents using Weld’s API and MCP, onboarding customers and designing warehouse setups for agentic workflows.
Design and build modern data pipelines and cloud-native analytics solutions for enterprise clients using Python, SQL, Snowflake, Databricks, and cloud platforms like Azure or AWS.
Build and maintain cloud-native data pipelines and platforms for clients using Python, SQL, Snowflake, Databricks, and CI/CD, while collaborating with cross-functional teams to deliver analytics solutions.
Design and build enterprise-scale data solutions on Azure for a global MedTech company, focusing on data warehousing, integrations, and cloud pipelines to support data-driven healthcare decisions.
Lead QA for enterprise ETL/data-ingestion pipelines, designing automated tests for Snowflake, AWS S3, and data-warehouse integrations.
Lead the design and implementation of enterprise-scale data platforms (data warehouses, lakes, and analytics) using SQL, Python, and cloud tools, while mentoring a team and setting technical standards.
Builds and maintains Oracle Fusion Cloud data pipelines using ODI ETL, OBIEE/RPD, and SQL to deliver accurate, timely reports for Finance, HCM, SCM, and OTM teams.
Build and maintain scalable ELT pipelines in Snowflake using dbt and Airflow, ingesting data from APIs, databases, and streams to power a regional digital bank’s analytics and reporting.
Design and lead enterprise-grade AI/ML architectures for DHL’s logistics systems, including generative AI, MLOps, and cloud platforms like Azure and Google Cloud.
Senior developer maintaining and enhancing ERP, databases, and data warehouse systems for a global biscuit manufacturer, focusing on SQL Server, Access, and performance tuning.
Lead the design and optimization of enterprise data warehouse and BI solutions using SAS, SQL, and ETL tools to support analytics and decision-making for a large hospitality and entertainment conglomerate.
Build and govern Agoda’s semantic layer for conversational analytics: model metrics, dimensions, and APIs that power consistent answers for applications and agents.
Build and maintain Azure-based data pipelines and BI dashboards using Power BI, Azure Data Lake, and Data Factory to deliver business insights.
Designs and governs enterprise AI systems, cloud MLOps pipelines, and Gen AI model lifecycles for DHL’s Asia-Pacific shared services using Snowflake and cloud AI services.
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.
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