Summary
Overview
Work History
Education
Websites
Accomplishments
Timeline
Generic

Nikhil Attarde

Issaquah

Summary

Engineering leader with 13 years at Amazon, including 7+ years of management experience delivering scalable, customer-focused solutions in streaming ad tech, fashion tech, and enterprise systems. Proven track record of building and leading high-performing teams, launching innovative advertising products, and scaling systems on AWS. A strong background in OpenRTB, IAB compliance, event processing, and product experience across consumer and B2B domains..

Overview

15
15
years of professional experience

Work History

Software Development Manager, Streaming Video Advertising

Amazon
Seattle
11.2022 - Current
  • Charter 1: Lead the FAST Linear channel experience for Prime Video FAST, Fire TV Channels, and Prime Video Channels.
  • Manage a team responsible for securing content deals with premium FAST linear partners.
  • Architect and implement advanced inventory controls including category exclusions and competitive separation across ad pods.
  • Enable embedded sponsorships for content partners, compliant with OpenRTB and IAB standards.
  • Charter 2: Own the overall Ad Customer Experience (Ad Cx) for Prime Video FAST.
  • Ensure high-quality, non-intrusive ad experiences through last-mile gating of ad break podding.
  • Maintain a fine balance between customer satisfaction and advertiser trust, optimizing the final delivery of ad content.
  • Charter 3: Lead development of innovative ad products for Amazon publishers (e.g., Freevee, Prime Video).
  • Spearhead time-sensitive launches of new monetization formats such as Interactive Pause Ads, Brand Storytelling segments, and Sponsored Slots.
  • Collaborate with cross-functional teams across marketing, content, and product to support upfront announcements and revenue generation.

Software Engineering Manager, Amazon Fashion

Amazon
Seattle
12.2020 - 11.2022
  • Managed a cross-functional team of 15 engineers supporting the 'Prime Try Before You Buy' subscription service.
  • Developed a scalable UI Survey Framework, adopted by 5+ teams for graphical customer insights and A/B testing.
  • Increased new subscription conversions by optimizing user feedback loops and onboarding flows.

Software Engineering Manager, Amazon Business

Amazon
Greater Seattle Area
11.2019 - 12.2020
  • Led the Data Aggregation Systems team delivering near real-time data for 5+ Amazon Business features.
  • Migrated event processing workloads from Apache Storm to AWS-native services (Kinesis, Flink, MSK).
  • Built an AWS Elasticsearch-based search platform, improving latency, scalability, and maintainability.
  • Hired and grew the team from scratch-onboarded 4 SDEs and promoted 1 within the first quarter.
  • Designed and led 2 SDEs to implement Amazon Business's first external facing API to serve post purchase ordering and transaction data to beta customers, enabling them to not be limited by Amazon's UI and integrate their own or 3rd party applications for their data. This was a successfully beta launch which led to spawning a full development team to enhance this product for prod launch.
  • In addition to precomputing customer purchase information in real-time and persists enriched data in DynamoDB (DDB) data store and vending the processed data on multiple customer facing features which mandates low latency and Amazon scale, our team also offer high throughput with high latency solutions, which are batch centric like External Reporting APIs and Scheduled Features to support customers end of day reconciliation needs.
  • I proposed, designed and led 2 SDEs to implement a multi-tier data storage which addressed Availability, Scalability and Cost reasons, and provided a high throughput data persistence layer to serve different workloads use cases with appropriate data persistence architecture. The tiers includes the hot storage which was supported by AWS Elastic Search + AWS Dynamo and warm storage supported by AWS Athena/Redshift Spectrum.
  • Designed and implementing a 'Federated Query Engine' which would direct a query to hot storage or warm storage based on query parameters. This was implemented using Apache Metamodel.
  • Worked on feature enhancements of business usecases of event processing using Apache Storm based precomputing platform to process and serve customers post purchase ordering data.
  • Mentor and provide design sign off to other teams to design and implement topologies on the Storm cluster for their usecases.

Education

MS - Computer Science

University of Texas At Arlington
Arlington, TX
12-2009

BE - Computer Engineering

University of Mumbai
Mumbai
04-2006

Accomplishments

US011869240B1 · Issued Jan 9, 2024 - Semantic Video Segmentation

This patent relates to a machine learning technique for automatically segmenting videos based on different categories (scenes including a particular actor, fight scenes, scenes suitable for children, etc.). Timecodes pertaining to the segments are stored in a segment database and are tagged with category data. Thereafter, a user can request scenes of a particular category and have only those scenes classified as pertaining to the specified category played back without playing intervening portions of the video. Additionally, multiple categories can be specified and only those segments that include all the specified categories are returned. Users are able to provide feedback on the received segments in order to improve model performance.

Timeline

Software Development Manager, Streaming Video Advertising

Amazon
11.2022 - Current

Software Engineering Manager, Amazon Fashion

Amazon
12.2020 - 11.2022

Software Engineering Manager, Amazon Business

Amazon
11.2019 - 12.2020

MS - Computer Science

University of Texas At Arlington

BE - Computer Engineering

University of Mumbai

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Nikhil Attarde