MAHESHDATTA MISHRA

Spearheaded the complete product lifecycle for Amazon SageMaker Lakehouse, defining the strategy and feature set from concept to general availability. Successfully drove 50%+ year-over-year adoption across key 30000 customers , resulting in $400 million in new annualized recurring revenue (ARR) across AWS analytics portfolio and establishing the product as a foundational lakehouse service.

As Head of the AWS Data Platform (Engineering Director scope), oversaw the consolidation and optimization of 10+ core data services, reducing platform operational costs by 25% and improving data delivery latency by 35% for internal and external customers. Directly managed a $X million budget and a global team of 100+ product managers and engineers.

• Reporting to the VP, AWS Platforms, embraced the opportunity to own technical solutions that improves internal data management at AWS.
• Delivered multiple services over the years with primary focus on cost and storage efficiency, regulatory compliance, data governance, and improved developer productivity for AWS Data and BI engineers.
• Led 80+ engineers to deliver managed service for AWS wide data cataloging, knowledge graph, ETL processing, data privacy engineering, and business metadata curation services that improved the trust on AWS analytic data.
• Effectively communicated and influenced others toward future state solutions, often engaging with senior executives to influence and secure buy-in.
• Turned siloed data analytic systems into a cohesive data platform with a shared vision across AWS product, engineering, and finance teams, eradicating inefficiencies in data management, and pioneering new approaches with a focus on efficiency and developer productivity, with a 25% reduction in infrastructure cost.
• Spearheaded data governance strategy across AWS, which improved data discoverability, quality, and trust across 170 business teams within AWS.
• Led a large-scale architectural transformation that brought 75% of AWS enterprise data under a common governance umbrella and data suplication across the organizations.
• Delivered a cohesive self service data pipeline toolsets and drove adoption for the solution that consolidated 4 stand-alone services into a single highly available stream processing service that improved the data availability by 80%.
• Served as a critical member of the technology strategy team that defined business process, application, and technology requirements, driving alignment between business and technology groups.
• Provided technical leadership and coaching for diverse staff that fostered a culture of continuous improvement, aligning the team efforts to stated business goals.

• Reporting to the Co-founder, took the opportunity to found a data team from scratch and define robust data engineering practice at Instacart.
• Led 15+ employees to deliver the first set of tools and services needed for processing data at scale, job scheduling, and reporting.
• Delivered the first data warehouse solution for Instacart powered by Amazon Redshift.
• Set up the first near real-time reporting solutions to help Instacart field teams to make capacity and location planning for Instacart shoppers.
• Delivered the first data portal at Instacart for developers to write ETL jobs, scheduling reports in a self service manner.
• Effectively communicated and influenced leaders toward future state solutions, drove adoption and retired 10+ postgres based reporting solutions.
• Owned and led data engineering practice in Instacart.
• Designed and developed a new infrastructure for Instacart for Data warehousing using Amazon Redshift and Python based scheduling tool.
• Designed and developed the proprietary scheduling/ dependency management tool used in Instacart using RabbitMq and Celery.
• Worked on real-time analytics platform using Druid and Caravel.
• Successfully implemented the data platform to support the growth and gross margin initiatives in Instacart.
• Successfully implemented near real time system for Instacart logistics, operations and business development.
• Hiring and mentoring of peer/junior engineers.
• Project management and prioritization.

• Built observability and Quality of Service analytics platform for Amazon Prime Video.
• Developed horizontally scalable real-time performance metrics service for customer devices.
• Enabled real-time critical decisions through metrics collection, enhancing streaming experience.
• Designed end-to-end architecture for metric collection and observability in Amazon Instant Video.
• Created real-time dashboards to monitor service performance using Amazon Redshift and ElasticSearch.
• Implemented automatic CDN failover to ensure uninterrupted streaming.
• Provided self-service analytic tools to support app development teams during major launches.

• Responsible for end-to-end design, development of service log collection and processing to implement metering system for AWS.
• Developed in-house distributed file processing service to extract information from 10s of millions of logfiles collected from AWS services using python and pyspark.
• Spearheaded technical design implementation of AWS data warehouse.
• Implemented the proprietary ETL tool (Patent Pending) used in AWS using AWS data pipeline, Ruby, Ruby On Rails.
• Responsible for end to end design, development and maintenance of data platform and enterprise data warehouse.
• Successfully migrated AWS data warehouse from on-premise Oracle database to Amazon Redshift and S3 based data lakes.

• Founder member of BI COE in GE Healthcare, helped the Organization in setting up its first Teradata DW for sourcing business intelligence.
• Successfully integrated Oracle ERP / SAP supply chain modules to the enterprise Data Warehousing.
• Successfully led and managed the data architecture roadmap and implemented the same in the sourcing data mart.
• Successfully managed sourcing scorecard to provide insight to GE leadership on vendor performance, lead times.
• Successfully implemented vendor banding based on its relationship with GE.
• Mentored and developed a performance oriented, focused and data driven architecture team.