Teams at EXL

Design, build, and maintain scalable cloud-based ETL/ELT data pipelines (Python, PySpark, SQL, Snowflake) supporting P&C insurance pricing, rating, underwriting, and actuarial analytics. Collaborate with actuaries, data scientists, analysts, and cloud engineers to deliver reusable data frameworks, batch/incremental ingestion, data quality, and transformations for GLM and predictive models.

Lead and deliver end-to-end AWS data engineering solutions: design, build, and optimize data pipelines, lakes, and warehouses; implement serverless and streaming architectures; mentor engineers; ensure quality, scalability, cost-efficiency, and CI/CD for enterprise data platforms.

Lead client deployments of EXLdata.ai across AWS/Azure/GCP, build and optimize PySpark/SQL data pipelines (Databricks/Snowflake), configure cloud infra (Kubernetes, CI/CD, networking, IAM), integrate GenAI agents, and act as the technical lead for client enablement, operational reliability, and product feedback.