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Build and evolve a cloud-native AWS data platform with reusable ETL pipelines, self-service components, and observability tooling for large-scale data processing.
Design, build, and optimize large-scale data pipelines and warehouses for a finance-automation SaaS, ensuring data quality and accessibility for analytics and product teams.
Builds and maintains AWS-based cloud integrations, Node.js/Express backends, and React SPAs with IoT integrations, CI/CD pipelines, and security/UX focus.
Build and maintain cloud-based data pipelines and APIs to process geospatial data (weather, satellite, locations) for agribusiness insights using Python, PostgreSQL/PostGIS, GCP, and AWS.
Build and maintain scalable ETL pipelines and data models using Spark, Scala, and cloud storage, then deliver clean data to analytics teams via BI tools like Databricks and Power BI.
Senior Data Engineer builds and optimizes large-scale ETL/ELT pipelines using Python, PySpark, SQL, and AWS services to deliver reliable, high-performance data solutions for global clients.
Lead a cloud-native AWS data platform powering GenAI insights and underwriting intelligence, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
Design and build scalable ETL pipelines and data models using Spark, Scala, and cloud storage (AWS S3, Hive) to support analytics and BI tools like Databricks and Power BI.
Build and maintain Zendesk’s globally distributed data platform using AWS, Spark, Flink, and Kubernetes to power customer-facing analytics and ML initiatives.
Lead a cloud-native AWS data platform powering underwriting intelligence and GenAI-driven insights, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
Leads a cross-functional team to deliver full-stack solutions, building responsive frontends with React/Vue and scalable backends with Python/Node.js, AWS, and CI/CD while integrating third-party APIs and data pipelines.
Builds and optimizes data pipelines for retail order and delivery systems using Spark, HDFS, and Airflow to ensure data integrity and support analytics teams.
Build and maintain scalable data pipelines for Tesco’s fulfillment operations, processing order and delivery data to optimize logistics and support analytics teams.
Build and scale ad-tech data infrastructure that processes billions of events daily, transforming raw ad server and SSP/DSP data into real-time analytics for campaign optimization and business intelligence.
Design and maintain cloud-native data pipelines and ETL processes for enterprise compliance and risk management using Python, PySpark, AWS, and Snowflake.
Build and maintain large-scale data pipelines and analytics platforms for ad-tech, transforming media consumption data into insights using SQL, Python, Airflow, and cloud services.
Build and maintain ETL/ELT pipelines in Python/SQL, optimize Snowflake queries, and run Airflow workflows to turn raw freight sensor data into analytics and ML features for a logistics intelligence platform.
Leads the build-out of a secure, multi-tenant cloud-native SaaS platform, setting up Kubernetes clusters, IaC pipelines, Keycloak IAM, and CI/CD with security controls.
Build LLM-powered automations, chat/voice assistants, and RAG pipelines using Python, FastAPI, and vector databases; deploy cloud-native services with CI/CD and guardrails.
Build and maintain cloud data pipelines and warehouses for a quality intelligence platform, focusing on Redshift, dbt, Airflow, and incremental ETL to support analytics and AI.
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