Vijay Tatikonda

About Vijay Tatikonda

I build data platforms that companies run on — and I stay accountable until they do.20 years in enterprise data. 13 at Adobe, running a data engineering organization that powers analytics for the entire company — $25B+ in ARR reporting, Customer 360, subscription analytics, financial data, Product Usage, Customer Success, Sales, Marketing Insights, and self-serve platforms that 10+ business units depend on daily.I sit at the intersection most data leaders can\'t — I design the architecture and I own the delivery. Most people at this level either delegate the technical work or never see production. I do both — personally authoring the frameworks and leading the teams that ship them.What I\'ve built and delivered at Adobe:→ Unified Data Architecture (UDA) — 5-layer enterprise framework, 7 source domains, batch + streaming→ Subscription ARR Module — $25B+ ARR reporting for board and investor audiences→ Customer 360 Profile, DDOM, Retention Analytics, Cancellation Insights→ SAP ECC → S/4HANA migration · Salesforce → Dynamics 365 migration — data architecture end to end→ Enterprise data governance on Collibra + custom metadata platform across 10+ systems→ M&A data integration across 5 Adobe acquisitions (Marketo, Workfront, Frame.io, Magento, TubeMogul) — unified reporting from Salesforce, D365, NetSuite, and Intacct into UDA before system consolidation→ Self-serve Databricks platform — 10+ business units, their own tenants, governed data→ Workday HCM integration for employee master and compensation analyticsWhat I\'m building now:An AI-powered pipeline platform on Databricks — AI generates governed YAML pipelines from a reusable component registry, eliminating thousands of custom workflows. The next shift in data engineering is already underway. I\'m building it instead of waiting for it.What I\'m looking for:Roles where I can own both the data platform architecture and the engineering delivery — at Director, Head of Data, or Enterprise Architect level — at a company serious about the AI era that needs someone who has designed and shipped at Fortune 500 scale.Open to conversations. Connect or message directly.

Experience

1. Sr Engineering Manager Ai Ml, Data Engineering & Analytics

   Adobe

   Oct 2018 — Present · San Jose, CA, US

   Scope:$25B+ ARR Fortune 500 · 10–20 person global team · 10+ business units · 7 data domains · SAP + Salesforce/D365 + WorkdayOwn both the architecture and the delivery across Adobe\'s central Data Engineering org. 13 years building the platform the entire company runs on.Products architected & shipped:→ Unified Data Architecture (UDA) — 5-layer framework across Marketing · Sales · Finance · Product Usage · CX · MDM→ Subscription ARR Module — $25B+ ARR board & investor reporting→ Customer 360 · DDOM · Retention Analytics · Cancellation Insights · Payment Funnels→ Enterprise lakehouse on Databricks + Hadoop — 10+ sources, Kafka + batch→ Self-serve platform — 10+ business unit Databricks tenants, governed dataTechnical domains:Financial data (Bookings · Billings · Revenue · AP/AR — SAP ECC/S4HANA) · MDM (customer, vendor, product, employee), Product Usage, Customer Case, Sales & Compensation.· Collibra governance · Quote-to-Cash & Record-to-Report · Workday HCM · CDC + Kafka · ETL/ELT (Snaplogic, SAP DS)Transformations led:SAP ECC → S/4HANA · Salesforce → D365 · SFDC & D365 ingestion frameworksM & A — 5 acquisitions (Marketo · Workfront · Frame.io · Magento · TubeMogul):Heterogeneous systems (Salesforce, D365, NetSuite, Intacct) → UDA blueprint: data harmonization, reusable pipelines, unified reporting before system consolidation.Currently: AI pipeline platform on Databricks — AI generates governed YAML pipelines from a component registry. Code → configuration.Stack: SAP · Databricks · Spark · Kafka · Collibra · Hadoop · Snaplogic · Tableau · Power BI · Workday · Python · SQL · Azure

Education

• Osmania University

  Master of Sciences, Information Systems

  2001 — 2003

• UC Berkeley Extension

  Product Management, Product Management

  2016 — 2016

Skills

• Informatica
• Sap Netweaver
• Business Intelligence
• Sap Hana
• Data Integration
• Databases
• Sap Bi
• Sap
• Sap Data Services
• Requirements Gathering
• Crystal Reports
• Sap Erp
• Web Intelligence
• Data Warehousing
• Data Migration
• Business Objects
• Hadoop
• Etl
• Oracle
• Requirements Analysis
• Solution Architecture
• Sap R/3
• Sap Implementation
• Data Modeling
• Ecc
• Abap
• Crm
• Sap Bw