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Designs and builds scalable Azure-based data pipelines using PySpark, Delta Lake, and Databricks to move and transform data efficiently across cloud systems.
Designs and implements enterprise-scale data architecture for a large transport business, ensuring scalable, secure BI and analytics across multiple countries using AWS, Databricks, and Snowflake.
Designs, builds, and maintains Azure-based data pipelines and lakehouse architectures using Databricks, Synapse, and Data Factory to deliver clean, reliable datasets for analytics and AI.
Designs, builds, and maintains scalable data pipelines and warehouses for an insurer, optimizing SQL Server, Databricks, and Power BI workloads to serve analytics teams.
Senior data engineer builds and owns a real-time analytics pipeline that ingests event-sourced data and JSON logs, models clean views, and powers dashboards and ML models on AWS with Spark and Databricks.
Build and maintain React-based frontend features for a brand analytics platform, integrating AI-driven insights and optimizing cloud-native data pipelines.
Build and optimize PySpark-based ETL pipelines on Databricks, refactoring legacy code and ensuring scalable, high-quality data flows for enterprise clients.
Build and optimize data pipelines using PySpark and Databricks to process large-scale datasets, ensuring performance and reliability for analytics and AI workloads.
Senior backend engineer building and optimizing a distributed SQL query engine in Java/C++ for a large-scale data lakehouse platform used by Fortune 500 companies across finance, energy, manufacturing, and logistics.
Design, optimize, and maintain high-throughput SQL Server, MySQL, and PostgreSQL systems for a cloud security platform, ensuring reliability, scalability, and automation across cloud environments.
Lead a team of Data Engineers to modernize TheFork’s data platform using AWS, Snowflake, and Airflow, implementing Lakehouse and Data Mesh principles to power analytics and business insights.
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.
Principal Data & AI Platform Architect designs and builds Azure Databricks-based data pipelines, medallion architectures, and governed analytics solutions to power AI-driven insights for a multi-clinic healthcare provider.
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.
Design and deploy enterprise AI solutions, agents, and RAG workflows using Python, SQL, and cloud platforms like Vertex AI and Databricks to automate and enhance CN’s logistics operations.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Leads architecture and delivery of enterprise-scale GenAI and agentic AI systems on GCP for travel retailing, including RAG, agent workflows, and LLMOps pipelines.
Senior Data Engineer builds and optimizes cloud data pipelines (PySpark, Delta Lake, Azure Synapse) to modernize legacy financial analytics infrastructure and improve reporting reliability.
Build and maintain scalable AI platforms on Kubernetes, wrapping managed AI services behind secure APIs with strict compliance and auditability for a global insurer.
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