Poonam Vashist

About Poonam Vashist

Data Engineer and Technical Lead with 8+ years of experience building enterprise-scale data platforms across Databricks, Snowflake, and cloud ecosystems (AWS, Azure). At Aon, I led the migration from AWS Redshift to Databricks, achieving 40% performance gains and 30% cost reductions while designing scalable architecture supporting 20+ countries.Previously at Accenture, I led end-to-end migration from Netezza to Snowflake, designing data architectures powered by Snowflake, Apache Airflow, and Apache NiFi on AWS infrastructure.Databricks 2x Certified (Professional + Associate)| Snowflake SnowPro Core | Google Cloud Associate Engineer | Currently expanding into GenAI/LLM infrastructure — RAG architecture, Vector Search, and Mosaic AI.Core expertise: Delta Lake, Medallion Architecture, PySpark, Spark SQL, Apache Airflow, CI/CD (Azure DevOps), Data Modeling, Data Quality Frameworks

Experience

1. Data Engineer- Technical Lead

   Aon

   Dec 2024 — Present · Gurugram, IN

   Leading enterprise-scale data transformation initiatives, architecting robust and scalable solutions that power decision-making across 20+ countries. Executed a successful enterprise-scale migration from AWS Redshift to Databricks, achieving 40% performance optimization and reducing infrastructure costs by 30%. Building an AI-powered bot using Databricks GenAI and RAG to automate data mapping updates, eliminating manual effort for end users. Designed a scalable backend data architecture supporting 20+ concurrent countries with significantly faster query response times implementing Delta Lake with Medallion Architecture (Bronze/Silver/Gold) Developed production-grade data pipelines using Databricks Workflows and Delta Lake processing multi-TB datasets with sub-minute latency via PySpark and Spark SQL. Implemented automated data quality frameworks detecting 95% of anomalies before reaching production Built end-to-end CI/CD pipelines using Azure DevOps, drastically reducing manual deployment efforts reducing release cycle time by 70% Led a high-performing technical team and conducted knowledge-sharing sessions on Databricks best practices for 20+ members Redesigned data models with advanced partitioning and Z-ordering strategies, improving report generation speed by 50%

Education

• Deenbandhu Chhotu Ram University of Science & Technology, Murthal(Sonepat)

  Bachelor’s Degree, Electronics and Communications Engineering

  2013 — 2017