Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
Generic

Meenal Agrawal

Bengaluru

Summary

Data Engineer with 5+ years of experience building scalable data platforms and pipelines, specializing in data quality, reliability, and system design. Proven in leading large-scale migrations, real-time and batch system development, and organization-wide data validation automation.

Overview

5
5
years of professional experience

Work History

Senior Data Engineer

UBER
Bengaluru
02.2022 - Current
  • Lead and architected Validata, an automated data validation framework for Dataset, SQL, Umetric comparisons using Python, Spark, Presto, and YAML-driven configs, reducing manual validation effort by 90%.
  • Developed a MCPTool using LangFx along with a CLI tool enabling self-serve validations using multiple frameworks QMT, Validata and got it adopted across teams standardising data quality practices org-wide.
  • Architected and scaled a real-time event tracking and analytics platform by applying guardrails and anomaly detection for Realtime Incentives data ($300M+ annually) using Flink, Hive, Pinot, and uMonitor, reducing time to detect from hours to minutes, and stopping financial leakage by 60-70% through dynamic thresholding and high-cardinality alerting.
  • Lead the Migration Project from the legacy X0 stack to the new Fulfillment track having all Marketplace data, eliminating over $1.2M in annual infrastructure costs, improving data accuracy by fixing undercounted offers, and coordinating adoption across T1-T5 pipelines.
  • Collaborated with product and engineering teams to design and implement a unified data model for all of the Incentive Datasets enabling personalised insights and improving targeting accuracy.

Data Engineer

UBER
Bengaluru
08.2020 - 02.2022
  • Lead the design and development of a unified, scalable trips SOT framework, processing billions of trip records across multiple Lines of Business at Uber involving both Realtime and batch ETL pipelines enabling trusted analytics and accelerating onboarding of new products from months to under one week.
  • Owned the design, migration, and stabilization of Uber’s weather SOT datasets to tomorrow.io v4, improving data quality, SLAs, documentation, and observability, while reducing consumer bugs by 80% and cutting infrastructure costs through pipeline deprecation and optimization.

Education

Master of Technology - Data Science

IIIT Bangalore
Bengaluru,India
06-2020

Skills

  • Programming languages: Java, SQL and Python
  • Cloud platforms: AWS, Docker, CI/CD, Kafka, Apache Flink, Apache Spark
  • Data management: ETL pipelines, data validation and quality, real-time systems, schema design, YAML, GenAI
  • Databases and query engines: Hive, Presto (Trino), Apache Pinot, Elasticsearch

Accomplishments

Presented at Uber Data Con 2025 Data validation Lifecycle.

Timeline

Senior Data Engineer

UBER
02.2022 - Current

Data Engineer

UBER
08.2020 - 02.2022

Master of Technology - Data Science

IIIT Bangalore
Meenal Agrawal