Summary
Overview
Work History
Education
Skills
Patents
Timeline
Generic

SRIVATSAN SRINIVASAN

Seattle

Summary

Motivated technologist and software engineering leader with 17 years of experience leading, designing, and developing software and systems with a security-first mindset. Proven track record of leading engineering teams, influencing senior and executive leadership and delivering enterprise-grade, scalable and secure software systems. Avid speaker, coach, mentor, and a Server-less specialist in AWS and Azure. Excellent programming, testing and algorithmic skills paired with the ability to formulate technology strategies.

Overview

17
17
years of professional experience

Work History

Principal Software Engineer

Microsoft
09.2024 - Current
  • Own the vision and execution of platform features for Microsoft Fabric's and Azure's Application Development services. (Serverless Data/AI functions, GraphQL service and Backend-As-A-Service framework).
  • Ideated, Designed and delivered Fabric User-Data-Functions and GraphQL services. 10000 DAU with (+12% MoM) since launch in Q1 2025. Capacity unit consumption increased by 10% per customer, resulting in direct positive revenue impact across Fabric and Azure.
  • Key decision maker for architectural, programming and API changes across three crucial generally available Microsoft Fabric App services, catering to millions of customers world-wide.
  • Lead design reviews, operational reviews and leadership reviews with the CTO of Azure Data and influencing product and engineering direction for the App-Dev space.

Senior Principal Software Engineer

UnitedHealth Group
03.2022 - 09.2024
  • Own three major goals around UHG's next generation AI/Data platform as a technical leader in the Chief-Data-Officer's(CDO) team.
  • Reduced the time-to-market for 80+ applications across the organization by accelerating access to curated datasets. Teams on-boarded to the platform save an average of 6-8 weeks in their development cycles thanks to rapid on-boarding, data democratization, ease-of-use of the APIs and abstraction of heterogeneous data systems (Warehouses and Data-lakes).
  • Slashed the cost of querying the data across data lakes by 60%.
  • Removed data and engineering silos across the enterprise and consolidated 4 different teams under a single-threaded leader.
  • Leading and managing 4 engineering teams across two countries to deliver multiple projects for the CDO goals.
  • Chief architect of the enterprise's Unified Query Interface that leverages state-of-the-art technologies to provide consistent data access and query experience for users (Patent pending).
  • The software system is a multi-cloud, multi-region, highly available, interactive query service built to provide seamless data access for users.
  • Multiple layers of optimizations(Network, Compute, Query Engine selection, Caching, Indexing) have been implemented to deliver query results at blazing speeds with reduced cost(Data transfer and Compute).
  • Integrated 6 heterogeneous data platforms(Teradata, Netezza, Azure DataBricks, AWS Datalake and GCP BigQuery) to be integrated through a single query interface; thus reducing tool proliferation and increasing data connectedness by enabling users to join datasets across these platforms using a single API.
  • Lead teams to design and deliver Cloud-native data-lake houses for Big data processing.

Senior Software Engineer

AWS
05.2016 - 03.2022
  • Engineering Leader for internal AWS Data-lake cataloging, indexing and data streaming service.
  • Managed two teams to deliver the foundational data service and the access control service.
  • Designed the entire AWS customer and segmentation data architecture in Graph-db and led a team of 8 engineers to implement a foundational Data service built on the graph data architecture.
  • Reduced the time to synchronize the data mutations across the organization from 4 hours to real-time by unifying all the application architectures to leverage this data service.
  • Complex multi-hop queries that were too complex to implement and maintain on No-SQL databases were re-implemented with relatively simple graph traversals, with sub-second latencies.
  • Eradicated duplication of efforts across the organization where each team were solving the same problem in their own silos. Converged all these efforts into a single project to ensure seamless feature delivery and reduced data proliferation.
  • Designed and led 3 teams to implement the re-architecture of AWS Worldwide Revenue allocation engine.
  • Leverage micro-services and micro-front end architecture to accelerate feature build and delivery.
  • Liaised with Product managers to design the product vision of unifying all the applications working in silos into a central service architecture to be able to deliver cohesive features for end users.
  • Designed and implemented the Data Security(Row-level & Column-level) and Data Governance module for the internal datalake mesh.
  • Leveraged in-house and open-source ML Models to generate auto-annotations for improving labeling tasks’ velocity and reducing operational costs.
  • Launched in 10 weeks to support AWS Textract Language expansion project.
  • Annotation velocity for OCR was improved by 90%.
  • Leveraged ML models and other techniques to extract information/metadata of an image. Exposed the extracted data in the form of query-able attributes for selecting the assets to be labeled.
  • Launched in 4 Weeks to support AWS Rekognition and AWS Textract use-cases to select assets based on languages.
  • Designed and implemented adapters for integrating with existing AWS data pipelines for seamless data discovery.
  • Built a multi-regional image harvester that sources open licensed images from the internet and internal Amazon sources.
  • Sourced 5 million images from internal Amazon data warehouses to support AWS ML programs.
  • Reduced the data acquisition time frame from 4+ weeks to less than 48 hours.

Senior Software Applications Engineer

Oracle
05.2014 - 05.2016
  • Designed and implemented web services that integrate Oracle's Account Reconciliation module and Enterprise Resource Planning software like Oracle EBS and SAP.
  • Customers were able to automate the entire Journal-Entry reconciliation process by leveraging this new web-service, saving several hundreds of hours during every monthly close.
  • Designed and Implemented orchestration tools for automating Disaster-Recovery activities for 12 Oracle modules.
  • Using this CLI tool, teams were able to reduce the total time taken for DR game days from 48 hours to less than 8 hours.
  • The number of engineers required to operate the DR scenarios reduced from 5 to 1.

Software Engineering Lead

Accenture
07.2008 - 05.2014
  • Lead a team of 12 engineers to support data and application migration from on-premises to AWS Cloud Infrastructure.
  • Built a custom business event processing engine to orchestrate chaining of business events across the enterprise.
  • Lead the data refresh and migration teams of BI implementations & support projects.

Education

Post Graduate Diploma in Management (PGDM) -

Institute of Financial Management and Research(IFMR)
11.2014

Bachelor of Engineering(B.E) - undefined

Madras Institute of Technology, Anna University
05.2008

Skills

  • System architecture
  • Research and development
  • Innovation management
  • Algorithm implementation
  • Security best practices
  • Object-oriented programming
  • Technical leadership
  • Java/C#/Python/TypeScript
  • AWS
  • Azure
  • Data Platform Engineering
  • Serverless
  • Cross-functional communication

Patents

  • US 2025/0086175 A1: Remote Query Processing for a Federated Query System Based on Predicted Query Processing Duration
  • US 12,204,538 B1: Dynamically Tailored Time Intervals for Federated Query System
  • US 2025/0045445 A1: Attribute-Level Access Control for Federated Queries
  • US 2025/0045276 A1: Quality Evaluation and Augmentation of Data Provided by a Federated Query System
  • US 2025/0086186 A1: Priority-Driven Federated Query-Based Data Caching

Timeline

Principal Software Engineer

Microsoft
09.2024 - Current

Senior Principal Software Engineer

UnitedHealth Group
03.2022 - 09.2024

Senior Software Engineer

AWS
05.2016 - 03.2022

Senior Software Applications Engineer

Oracle
05.2014 - 05.2016

Software Engineering Lead

Accenture
07.2008 - 05.2014

Bachelor of Engineering(B.E) - undefined

Madras Institute of Technology, Anna University

Post Graduate Diploma in Management (PGDM) -

Institute of Financial Management and Research(IFMR)

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