Raniendu Singh

Resume

Senior data engineer with 15+ years designing reliable, scalable and cost-effective data platforms

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Overview

I have several years of experience in building large scale data platforms. I have a strong background in programming, data engineering, and analytics, as well as a Master of Technology in Software Systems from Birla Institute of Technology and Science. In my most recent role, my focus is on building data platform and measurement systems to support the effectiveness of the Ads Sales organization at Amazon. My core focus areas include scalable data platforms, data quality, and automation.

Experience

Senior Data Engineer · Amazon Ads

Oct 2024 – Present
  • Building data platform and data-driven workflows to enhance productivity and effectiveness for Amazon Ads Sales organization.
  • Developing measurement systems to track and optimize sales performance metrics.
  • Designing event-driven systems for integrating upstream and downstream applications with real-time data flows.

Data Engineer · Meta

Jan 2024 – Oct 2024
  • Worked in the Ads Monetization org building data models, data pipelines and dashboards.
  • Measured reliability, performance and adoption of Meta Ads Manager features such as GenAI Ads and contextual e-commerce ads.
  • Built monitoring and analytics for backend services supporting GenAI features.

Senior Data Engineer · Amazon / AWS

Aug 2013 – Dec 2023
  • Amazon Ads: Led re-architecture of data systems, building a new Data Lake. Built event-driven ETL pipelines on AWS and systems to measure data quality and enable alerting.
  • Amazon Go: Built data models and pipelines to measure accuracy and cost of Just-Walk-Out-Technology powering Amazon Go Stores. Supported Customer Experience Data Science team.
  • Amazon Web Services: Designed the Data Lake for AWS Sales team serving as a scalable backend for the Analytics Layer.
  • Amazon Transportation Systems: Led migration from Oracle to Amazon Redshift. Tracked business metrics such as scheduled deliveries.

Associate Technical Consultant · Teradata

Feb 2010 – Jul 2013
  • Worked on pre-sales proof of concept projects for potential clients evaluating Teradata vs competitors.
  • Physical data model design including indexing and partitioning schemes.
  • SQL/ETL optimization and automation scripts in Python and Teradata Utilities.

Technical Skills

  • Data Warehousing, Amazon Redshift, AWS, Airflow, Spark, Presto, Teradata
  • Languages: SQL, Python, Scala

Education

M.Tech. Software Systems
Birla Institute of Technology & Science · 2014-2016
B.E. Computer Engineering
University of Pune · 2005-2009
Certifications
Teradata Certified Professional