Akanksha Mishra

Akanksha Mishra is a senior data engineering leader whose career has steadily converged on one specialty: building enterprise-scale, cloud-native data platforms that are fast, reliable, compliant, and operationally durable. Currently serving as a Senior Data Engineer at Amazon, Akanksha operates in the class of roles where success is defined by end-to-end ownership—architecting data systems that support global organizations, maintaining high availability and data correctness, and driving modernization that replaces aging infrastructure with scalable, audit-ready designs.

Her trajectory reflects both depth and range. From early systems engineering foundations at Tata Consultancy Services, to applied analytics work at Ameriprise, and ultimately to senior-level platform ownership at Amazon, Akanksha has repeatedly been placed where data quality and timeliness directly shape business decisions. Her work spans event-driven ingestion, modern data lake architectures, orchestration and transformation pipelines, observability and cost optimization, and privacy-first system design—particularly in multi-region environments where GDPR compliance and auditability are fundamental constraints.

At Amazon, Akanksha’s work is characterized by modernization with measurable outcomes. She led major platform upgrades including an Associate Development and Performance Tracking system serving 7,000+ daily users across regions, reducing processing time by 86% (from over 24 hours to under one hour) while handling 40 million monthly performance records under GDPR constraints. She modernized the MyTime data pipeline to drive 75% faster processing and a 600% increase in data freshness, improving accuracy to 99.9% and reducing data incidents by 85%. She also spearheaded HITS platform modernization by migrating modules from Hive to Apache Iceberg, consolidating workflows and delivering runtime reductions from 1–2 hours to under 10 minutes, while achieving 80% cost reduction through lower compute usage.

Beyond delivery, Akanksha’s influence scales through standard-setting and enablement. She serves as an Amazon interviewer, reinforcing the engineering bar through evaluation of system design judgment, scalability reasoning, data modeling rigor, and operational excellence. Internally, she has built reusable frameworks—such as the IceCore utility abstracting Iceberg operations—that accelerated adoption across teams, reducing development time and duplication. Her leadership also includes mentorship and cross-organizational guidance, reflecting a professional identity grounded not just in execution, but in elevating the quality and maturity of data engineering practice around her.