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Senior AI Data Engineer, End-to-End Data Platforms
Designs and builds scalable AI data platforms, implements GenAI workflows, and mentors engineers using Databricks, Snowflake, Python, and SQL.
Senior Manager of Data Engineering
Lead data engineering teams to build and scale enterprise data pipelines on JPMorgan’s Palmos platform, enabling standardized data onboarding and curated data products for analytics and AI/ML use cases.
Data Engineer
Build and maintain scalable data pipelines on Azure using Databricks, PySpark, and dbt to support analytics and AI workloads.
Applied AI / ML Lead Software Engineer
Lead the design and delivery of LLM-powered and agentic AI workflows for JPMorgan’s internal employee platforms, integrating secure AI tools and ensuring reliability and compliance.
Data Engineer
Build and maintain scalable data pipelines on Databricks and Azure to power reporting, analytics, and AI at a large retail company.
Senior Data Engineer
Design and build scalable data pipelines and Lakehouse infrastructure using Azure and Databricks to power analytics and AI for a global risk advisory firm.
Data Engineer
Builds and maintains enterprise data pipelines and analytics platforms using Microsoft Fabric, SQL, Python, and ETL tools to support reporting and AI initiatives.
Senior Data Architect
Designs and leads enterprise-scale data platforms on Google Cloud Platform, defining standards for data warehouses, lakes, and governance while enabling analytics and compliance.
Lead Data&AI Engineer - Databricks
Lead the design and deployment of enterprise-scale data pipelines and AI solutions on Databricks, building Lakehouse architectures and automating agentic AI workflows for clients.
Data Engineer Analyst (Fabric, Power BI)
Build and maintain data pipelines and Power BI reports using Microsoft Fabric and Azure services to deliver analytics and reporting solutions.
Data Engineer Consultant (Fabric, Power BI)
Builds scalable data pipelines and Power BI dashboards using Microsoft Fabric to deliver analytics and insights for clients.
Lakehouse Data Engineer - Power BI & Fabric
Builds scalable data pipelines and Power BI reports using Microsoft Fabric, Python, and SQL to modernize legacy data systems.
Lead Data Engineer - Databricks
Lead a team to design and deploy Databricks-based data pipelines and Lakehouse architectures, using PySpark/SQL and cloud platforms to build AI-ready data platforms for enterprise clients.
Data Engineer-NSW
Build and maintain AWS-based data pipelines and real-time streaming solutions using Python, PySpark, Airflow, and Kinesis for a HR-focused product company.
AWS Data Engineer
Build and maintain scalable PySpark and AWS data pipelines for a healthcare SaaS platform, ensuring secure, compliant data flows between clinical systems and the product.
Azure Data Engineer: Lakehouse & AI‑Driven Analytics
Builds and maintains a modern Azure-based data lakehouse for government analytics, using SQL and Python to process and transform large datasets.
Data Architect / Engineer
Designs and builds AI-ready data platforms for clients using Azure, Fabric, and Databricks, translating business needs into scalable data architectures.
Data Engineer (Snowflake)
Build and implement a Snowflake-based data warehouse from scratch, designing pipelines, models, and governance for a new analytics platform.
Azure Data Engineer
Design and maintain Azure-based data pipelines and lakehouse solutions using Synapse, Data Factory, and Informatica to power analytics and reporting for a government client.
Data Engineer
Designs and builds scalable AWS data pipelines using Python, PySpark, Airflow, and streaming tech to process high-volume data for analytics and warehousing.