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Build and maintain an end-to-end demand-forecasting system for a nationwide entertainment network, blending sales history with external signals and shipping GLM models in Python/SQL.
Senior Data Engineer builds scalable data pipelines and ML analytics for chemical manufacturing, focusing on predictive maintenance, optimization, and real-time streaming using Python, SQL, and Kubernetes.
Build and maintain scalable data pipelines, automate ingestion from Kafka, MQ, SFTP, and databases, and optimize cloud-based processing in GCP using BigQuery, Dataflow, and Airflow.
Build and automate predictive models, ETL pipelines, and monitoring systems using Python, Databricks, and Azure to power AI-driven marketing analytics and campaign optimization.
Design and build scalable data pipelines and ML-ready datasets for chemical manufacturing, enabling predictive maintenance, optimization, and automation using Python, SQL, and cloud-native tools.
Build and maintain a modern data warehouse using Microsoft Fabric, process data with Python/PySpark and T-SQL, and collaborate with PowerBI teams and business users.
Design and build scalable data pipelines and analytics platforms for chemical manufacturing, enabling predictive maintenance, optimization, and AI-driven solutions using Python, Databricks, and cloud technologies.
Builds and maintains a modern data warehouse using Microsoft Fabric, writes Python/PySpark and T-SQL pipelines, and collaborates with PowerBI teams to deliver analytics.
Build and secure AWS-based infrastructure for a new fintech platform that automates systematic trading research and execution, using Terraform and scripting.
Designs and maintains Big Data pipelines, data warehouses, and analytics platforms using Spark, Hadoop, and cloud tools to enable data-driven business decisions.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time APIs, and MLOps tooling in Python and cloud platforms.
Build and deploy AI/ML pipelines, fine-tune LLMs, and integrate generative AI into banking systems using Python, cloud platforms, and MLOps tools.
Build and optimize scalable data pipelines and cloud-native apps using Snowflake, Databricks, Python and SQL to power reporting, analytics and operational processes for financial clients.
Build and validate enterprise Generative AI and Agentic AI systems using LLMs, RAG, and AI agents to improve financial services workflows while ensuring compliance with governance and audit standards.
Build a cloud-native platform for pharmaceutical research, combining full-stack web apps, AI-powered features, and scalable microservices using React, Next.js, NestJS, Go/Python, and Kubernetes.
Build and optimize PySpark pipelines for large-scale data processing, using HDFS, YARN, and Spark SQL to deliver clean datasets for analytics and reporting.
Build and optimize PySpark pipelines for large-scale data processing, tuning performance and integrating with Hadoop, HBase, and SQL databases.
Lead a team to design and build scalable data pipelines on Hadoop/Databricks and cloud platforms, enabling analytics and GenAI/LLM-ready data ingestion for enterprise clients.
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