Kavin Gandhi

CTO

India19 yrs 8 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Led $250M improvements leveraging AI across multiple verticals.
  • Designed AI strategy delivering $100M EBIT and 500 FTE savings.
  • Expert in building complex global M&A data frameworks.
Stackforce AI infers this person is a Data Strategy and Analytics Leader in Logistics and E-commerce sectors.

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Skills

Core Skills

Data StrategyAi StrategyAnalytics Platform DevelopmentData ManagementAnalytics

Other Skills

AIAI/MLAWSAgile MethodologiesAmazon RedshiftAmazon S3Apache KafkaAsset ManagementAzureBig DataBusiness AnalysisChange ManagementCloud MigrationData AnalyticsData Governance

About

• Delivered Customer & Engineer centric data engineering & analytics platform & product. • Champion is envisioning and executing Future Enterprise data and AI platform roadmap. • Led top-line and bottom-line improvements around ~$ 250M by leveraging AI power of data spanning cross functional vertical. E.g., Customer Lifecycle Analytics, Sales Analytics, Price Determination, Demand Forecast, Customer Profitability, AI code Assistant, AI Sales Chatbot • Designing AI strategy and roadmap for Maersk AI Steerco Committee to deliver $100 M in EBIT, 500 FTE savings, 20% uplift in NPS, and 20% tech productivity gains. • Global P&L Owner & Site Leader in leading global team across multiple geographies and culture. • 20 years in data as analytics lead, architect, program manager, data lead and data platform head. • Great communicator and executor to influence multiyear investment data strategy and prioritizing analytics product to generate multimillion dollar through building small MVP/POC. • Expert in building complex global M&A data framework to onboard new companies seamlessly. • Extensive experience in building data strategy, data architecture, data integration, data science, big data, cloud, BI, ETL, visualization, data governance, MDM, metadata, and data quality. • Hands on Technologist in migrating petabyte DW & Reporting on Azure/AWS in record breaking time through automation, open-source tooling, and game changing strategies. • Engaging with startups/vendors, evaluate new tools/offerings, and take business decisions. • Excellent communicator to C-Suite executive level leaders across company and influenced highly impacted e2e solution to business problem using moder data platform. • Extensive experience in the creation of Enterprise-wide Master Data strategy with effective data governance, best practices, and agile working methodology for consistent organizational usage. Technical Expertise • Cloud Technologies: Azure, AWS • AI Agent: Microsoft CoPilot, Open AI • Data lake: Azure Data Lake, Amazon S3, Cloudera • ETL: Data Bricks, Informatica, Abnitio, Data net, OGG • Database: Synapse, Redshift, Dynamo, Teradata, Oracle, Sybase, Hadoop, Aurora, Mongo, Graph • Reporting Technologies: MicroStrategy, Power BI, Dataiku, Looker, QlikView, Tableau • SAP Modules: SAP MDM, SAP BW, SAP ECC, S4HANA, SAP MDG, SAP BO • Programming/Big data: SAS, JAVA, Spring Boot, HIVE, Python, Scala, Spark, ADF, Data Bricks • CI/CD Build Tools: JENKINS, Azure DevOps

Experience

19 yrs 8 mos
Total Experience
4 yrs 11 mos
Average Tenure
8 yrs 3 mos
Current Experience

A.p. moller - maersk

Head Of Data, AI & Analytics Platform and Products

Mar 2018Present · 8 yrs 3 mos · India · On-site

  • Leading efforts in building Maersk Data/AI Platform and Products on Azure with open-source tooling and new capabilities through continuous innovative improvement mindset.
  • Led top-line and bottom-line improvements around ~$ 250M by leveraging AI power of data spanning cross functional vertical. E.g., Customer Lifecycle Analytics, Sales Analytics, Price Determination, Demand Forecast, Customer Profitability, AI code Assistant, AI Sales Chatbot
  • Designing AI strategy and roadmap for Maersk AI Steerco Committee to deliver $100 M in EBIT, 500 FTE savings, 20% uplift in NPS, and 20% tech productivity gains.
  • Leading a global team including product leader, Engineering Manager, Architect, DE & BI Engineer, Analyst, Data Scientist and UX spread across India and Europe.
  • Lead migration of legacy Petabyte DW from Teradata/Oracle/Palantir to Azure with 10X performance improvement within 12 months through 100+ engineers for 70+ business teams.
  • Cost reduction of $25 M through effective cloud management and improved uptime from 90% to 99.5% while moving from legacy to azure cloud through best implementation practise.
  • Build generalise M&A framework to onboard new company in two-week timeframe compared to traditional 6-month timeframe. Already Saved $50 M effort through new 10+ acquisition.
  • Redesigned monthly executive analytics reporting cycle on big data to reduce time from 5 to 1 day for 10000+ users and generated $250 M by providing daily visibility on P&L across globe.
  • Designed strategy for Data ingestion and streaming, Data Lake, Data Mesh, MDM, Metadata Mgmt., Catalogue, Lineage, Literacy, Data Security, Data as service, self-service, and Data quality.
  • Trained and upskilled 100+ users consist of customer service, Sales, Operations, Finance, HR etc. on self-service and make them Champion to drive further adoption another 10000+ users.
AzureAIData AnalyticsData GovernanceData LakeData Mesh+4

Amazon

Head of Data & Analytics

Oct 2016Mar 2018 · 1 yr 5 mos

  • When a customer orders a banana slicer on Amazon.com in France, watches an episode of Mr. Robot on Prime Instant Video in the US, downloads an e-book on their Kindle from a beach in Brazil, or spins up an AWS spot EC2 instance in China, they feed into a continuous petabyte-scale stream of global events moving through the company’s technology ecosystem. We harness these data streams to pay Amazon’s suppliers, bill our customers, enable financial analysis and planning, and to report our financial results at many different levels of aggregation to internal and external customers.
  • Led the effort in shaping Amazon’s future with multi year data strategy to build company’s modern data platform on AWS with and AI/ML capabilities for internal and external customer.
  • Conserved US$ 250M and improved 5000+ global Vendor NPS by 40% while building Shortage Defect Reduction analytics platform across 20+ cross-functional teams.
  • Innovated and deployed the first generalized analytics reconciliation framework on big data having billions of transactions across all GL/SL saving 50000 FTE hours for 40+ business team.
  • Migrated Amazon biggest petabyte DW and BI Reporting from 15+ siloed traditional on-prem stack to AWS cloud and Tableau platform boosting its performance 10X times within 9 months.
  • Drove engagement for reporting/analytics scope across 15+ tech team & 50+ business teams to align on design, product roadmap and launch plan while balancing business needs through OKR.
  • Highest operational excellence KPI through Paying Suppliers on time, Billing Customer right and reporting financial result at lowest level of aggregation for internal and external customer.
  • Managed project stakeholder engagement, executive level communication, status reporting, monthly and quarterly business reviews, escalations, project features/roadmap trade-off.
  • Led transformation of self-service reporting for 5000+ users and gave them the agility to change reporting at their chosen speed.
AWSData AnalyticsAI/MLCloud MigrationBig DataData Strategy+1

Credit suisse

Engineering Manager: DW/BI/MDM

Apr 2012Oct 2016 · 4 yrs 6 mos · Mumbai

  • Credit Suisse Prime Brokerage Data Warehouse provides financing, clearing, settlement and custody of equity, fixed income and FX trading for hedge fund clients. Prime View is the central repository of global aggregated reference and operational information of prime services. Prime View is single client interface in Credit Suisse for Prime Services contains data from over 250 feeds across the firm. It supports various reports across Equity, Fixed Income, Listed & OTC Derivatives and F&O.
  • Client Reference Data management is master data management hub for all the clients, account, funds and their relationship of entire Prime Business (IB). It provides golden copy of client, fund and account across all the Prime application.
  • Designed Prime DW sourcing data from 50 source system and serving 2,000+ global users.
  • Designed Prime Swap DW supporting self-service real time analytics handling billion-dollar intraday transaction and generated business value of $50 M across globe for traders and analyst.
  • Owned Prime Service Master Data Management solution and influenced to onboard 15+ Prime business teams to ensure mutable and transparent distributed systems.
  • Build up new team in India from scratch after replacing high-cost contractor and saved $10 M.
  • Oversaw risk management, resource allocation, project prioritization, research, and recommendation of new systems, software products, and services.
Data WarehousingMDMAnalyticsRisk ManagementData Management

Tata consultancy services

DW Architect/Delivery Manager

Sep 2006Mar 2012 · 5 yrs 6 mos

  • GE Asset Management is an US based investment firm and invests mainly in U.S. Equity, International Equity, Fixed Income and Real Estate depending upon the client requirements. GEAM manages both GE internal pension funds and client portfolios. To cater reporting and decision support needs, GEAM maintains its own Data warehouse. As part of security master standardization, GEAM data warehouse has gone through complete dimension restructuring which involved real time security master data flow from Golden Source (Master Data Management tool) via Tibco queue to DWH.
  • Designed near real time DW/reporting with 99.9% uptime for Equity Trading platforms supporting 500+ global traders, analyst, and portfolio managers for day-to-day trading.
  • Developed real-time GEAM master data management and roll out for the entire Equity Portfolio consist of 20+ system and 100+ data product during 2008 financial crisis.
  • Managed the India offshore team of 35 engineers towards maximum productivity, solving technical/non-technical issues, daily task allocation, review of work items.
  • Built exceptional customer relationships by discovering the true requirements underlying feature requests having high business value.
Data WarehousingMDMReal-time AnalyticsData Management

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