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Design and optimize Snowflake-based data architectures, build ETL/ELT pipelines, and mentor junior engineers to ensure reliable, high-performance data solutions.
Build and maintain scalable AWS-based data pipelines and analytics platforms using Python, PySpark, and medallion architecture to power Taylor & Francis’s media and publishing products.
Build and maintain scalable data pipelines and tools for a fintech AI platform, using Python, AWS services, and microservices to support analytics and LLM-driven workflows.
You partner with Google Cloud sales teams to design data architectures, prototype analytics solutions, and solve complex customer challenges using Google Cloud’s AI and data tools.
Build and migrate data pipelines using PySpark and Databricks, designing Lakehouse architectures and optimizing SQL/Spark workloads for a data platform transition.
Senior Data Engineer to migrate and modernize a data platform from BigQuery to Databricks, building PySpark pipelines and lakehouse architecture with Delta Lake and Unity Catalog.
Design and implement enterprise-scale Databricks Lakehouse architectures, lead client engagements, and optimize Spark-based pipelines for secure, high-performance AI and data workloads.
Build and maintain scalable data pipelines on Databricks and Azure, using PySpark/Scala and SQL to process manufacturing or energy data for analytics and reporting.
Build and maintain Power BI dashboards and semantic models on Google BigQuery to turn automotive and insurance data into actionable insights for stakeholders.
Build and scale a SaaS platform for Sales Performance Management using C#, React, Redux, and AWS services like Lambda and DynamoDB.
Lead the design and deployment of agentic AI systems for Citi’s banking operations, using Python, Google ADK, LangChain, and LLMs to automate workflows and reduce risk.
Build and maintain cloud-based data pipelines for investment analytics using Azure tools like Data Factory and Synapse, transforming raw data into structured datasets for reporting and AI initiatives.
Lead the design and optimization of ML algorithms in Vertex AI, build scalable data pipelines, and mentor engineers to productionize personalization and recommendation systems for a global gaming commerce platform.
Designs and maintains ETL/ELT pipelines in Python and Spark/Scala to transform healthcare data into reliable datasets for SaaS products, using FastAPI, Airflow, dbt, and AWS with AI-assisted development.
Designs and operates ETL/ELT pipelines in Python and Spark/Scala to transform healthcare data into reliable datasets for SaaS products, using FastAPI, Airflow, dbt, and AWS with AI-assisted development.
Build and deploy AI-powered Python full-stack applications, integrating LLMs, APIs, and MCP workflows to connect AI systems with customer platforms and data sources.
Senior Data Engineer builds and optimizes cloud data pipelines (PySpark, Delta Lake, Azure Synapse) to modernize legacy financial analytics infrastructure and improve reporting reliability.
Senior Data Engineer builds and maintains GTM data pipelines in Snowflake, Salesforce Data Cloud, and GCP using Python, dbt, and Airflow to power lead routing and campaign analytics.
Lead a BI & Data Engineering team at an EdTech company, designing scalable data architecture, optimizing ETL pipelines, and translating insights into executive decisions using AWS/Google Cloud, SQL, and Python.
Build and optimize a modern analytics platform using Microsoft Fabric and Azure cloud tools to migrate from legacy SAP BW, focusing on data pipelines, ETL workflows, and Power BI reporting.
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