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Lead a remote data engineering team, migrating on-prem data platforms to GCP and building PySpark pipelines while removing technical blockers and guiding architectural decisions.
Builds scalable data pipelines and AI/ML solutions for financial crime detection using Python, PySpark, and LLM technologies in a banking client’s anti-fraud team.
Build scalable data pipelines and AI/ML models for anti-financial crime at a UK bank, using Python, LLM orchestration, and distributed frameworks like PySpark and GCP.
Builds and maintains cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI in a modern Lakehouse architecture.
Senior Data Engineer builds scalable data platforms using cloud tools (Azure/AWS), SQL, Python, and PySpark to enable data-driven decisions for global clients.
Senior AI Data Engineer builds and maintains scalable ELT pipelines and dbt models for Zendesk’s analytics platform, integrating AI tools to enhance data delivery and team productivity.
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents on AWS SageMaker to automate insurance workflows and support data-driven decisions across the business.
Build and maintain Azure Databricks pipelines and PySpark/SQL workloads on Delta Lake to integrate financial and ESG data for reporting and analytics.
Build, test, and maintain Python-based systems for an insurance company, focusing on data processing, cloud solutions, and performance optimization.
Build and maintain distributed data pipelines and processing systems for a Vulnerability & Exposure Management Platform, handling millions of daily events with Python, PySpark, and cloud tools.
Build and automate data pipelines for financial clients, migrating on-prem systems to cloud and implementing DevSecOps practices using Kafka, Spark, Kubernetes, and CI/CD tools.
Build and scale ETL/ELT pipelines in PySpark and SQL, model enterprise data, and ensure quality and lineage for downstream analytics at a large IT consultancy.
Build and maintain cloud or on-premise data pipelines and advise clients on modern data solutions using Python, SQL, Spark, and cloud platforms.
Build and maintain secure data pipelines and models for financial clients using Databricks or Snowflake, ensuring reliable, production-ready data solutions in regulated environments.
Build and maintain Python backend services for trading and risk systems in investment banking, including data pipelines, APIs, and risk calculations.
Lead AI Engineer builds and deploys ML models for fintech using Python, SQL, and PySpark, focusing on forecasting, clustering, regression, and neural networks.
Build and maintain Python-based data pipelines, ETL workflows, and backend services using Airflow, BigQuery, and PySpark to support enterprise-scale analytics and digital transformation.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Builds and maintains ETL/ELT pipelines in Microsoft Fabric to ingest and transform logistics data, ensuring reliable reporting and analytics for warehouse operations.
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