SAP Datasphere
Default target for new enterprise data products.


15+ years in SAP Data & Analytics
I help enterprises modernize SAP Analytics, simplify complex reporting landscapes, strengthen data governance, and bridge business requirements with scalable technology solutions. I bring strategic leadership, stakeholder alignment, and delivery excellence to complex enterprise transformation initiatives. My 15+ years of experience spans SAP BW/BI | ABAP | SAP HANA | Enterprise Reporting | Stakeholder Engagement | Global Delivery | S/4HANA Embedded Analytics | SAP Analytics Cloud (SAC) | SAP Datasphere | SAP BW/4HANA | CDS Views | SAP Transformation & Delivery, with an evolving focus on Cloud Data Platforms and AI-Ready Analytics. I combine deep technical expertise with strategic thinking and cross-functional leadership to drive innovation, operational excellence, and measurable business value.
Executive Profile
I am a Senior SAP Analytics, Solution Architect, and Reporting Professional with 15+ years of experience delivering Enterprise Reporting, Business Intelligence, and Data-Driven Solutions, complemented by strong leadership expertise in driving strategic initiatives, managing cross-functional teams, and overseeing complex enterprise engagements. My expertise spans SAP BW/BI | Business Requirements Analysis | Solution Design | Functional and Technical Specifications | Stakeholder Management | Strategic Leadership & Delivery Governance. I specialize in bridging the gap between business needs and technology execution, simplifying complex reporting requirements, analyzing existing system landscapes, and enabling effective collaboration across business and technical teams. In my leadership capacity, I focus on aligning technology initiatives with organizational objectives, fostering high-performing teams, driving stakeholder engagement, managing delivery commitments, and providing strategic direction to ensure successful business outcomes. With a strong foundation in SAP analytics and a growing focus on modern data platforms and AI-enabled solutions, I am passionate about helping organizations transform enterprise data into reliable insights and measurable business value while driving innovation, operational excellence, and sustainable business transformation.
Career timeline
JUNE 2017 — TILL-NOW
Deloitte South Asia LLP, Bangalore
Client Name: Ford, Shell India Marketing Pvt Limited. Bangalore (Xenon), PMI, Unilever PLC
Team Size: 12
SAP Environment: cFIN, S/4 HANA On-Premises, Embedded Analytics, CDS views, Dataspheres
Contributions:
NOV 2016 — JUNE 2017
Tech Mahindra Limited, Bangalore
Project Name: IBU NESTLE
Team Size: 12
SAP Environment: SAP BI 7.5, BW on Hana Modeling 1.15, BODS
Contribution:
JULY 2016 — NOV 2016
Shell India Marketing Pvt Limited, Bangalore
Project Name: Business One and Planning One
Team Size: 3
SAP Environment: SAP BI 7.4, SAP PPM, BPC 10.1
Contribution:
SEP 2014 — JULY 2016
MINDTREE Limited, Bangalore
Client Name: Esprit De Corps
Team Size: 2
SAP Environment: SAP BI 7.0, ECC 6.0, Retail, AFS
Contributions:
MAR 2011 — SEP 2014
YASH Technologies Pvt Limited
Client Name: Paragon, Hema’s and Base Corporation , Accenture India Private Limited, Hyderabad Industries Limited
Project Name: AMS and Development , Unilever Private Limited (U2K2) –Global Support
Team Size: 27
SAP Environment: SAP BI 7.0, ECC 6.0.
Contributions:
SEP 2010 - FEB 2011
JK Info Tech Pvt Limited, Bangalore
Attended the SAP ABAP training classes, Hand's-on Practices from Corporate Trainer who worked in similar technology for extended years.
AUG 2008 - JULY 2010
CENTUM INDUSTRIES PRIVATE LIMITED.
Core capabilities
SAP BW/BI (3.X and 7.X), BW/4HANA, SAP HANA, Bex Reporting, SAP Analytics Cloud (SAC), AFO, Datasphere and S/4HANA Embedded Analytics.
Legacy BW landscape modernization, SAP upgrades, Reporting transformation and cloud adoption strategies.
Business requirement discovery, KPI definition, FS and stakeholder alignment across finance, supply chain and sales departments/product owners.
Adopt SAP best practices and methodologies, Enterprise data modelling, ABAP CDS Views for extraction and reporting model , ABAP, cross-platform integration and scalable data solutions.
Client engagement, solution assessment, technical governance, cross-functional collaboration and global delivery.
Translating complex business requirements into practical, sustainable and value-driven technology solutions.
Improve reporting efficiency, data quality, transparency and enterprise decision-making.
Exploring the intersection of SAP, cloud data platforms, automation and AI to enable intelligent, future-ready enterprise solutions.
Technology stack
I use AI to accelerate delivery, not to replace judgement — from drafting requirements and code assistance to surfacing insights in reporting layers.
Draft functional specs, translate business requirements into user stories, and accelerate documentation for SAP programmes. well-versed with Claude Code, AI-workflow Design using Docker.
Speed up ABAP, SQLScript and CDS view development with contextual suggestions and code review support.
Use Q&A, key-influencer visuals and anomaly detection to surface insights faster for business users.
Ad-hoc data profiling, reconciliation checks and exploratory analysis before modelling in SAP.
Explore enterprise AI scenarios such as predictive reporting and intelligent data quality on SAP datasets.
Interactive SAP architecture
Consulting framework
Stakeholder interviews, report inventory, pain-point mapping and a candid view of data quality.
Target architecture, KPI dictionary, data ownership model and a sequenced delivery backlog.
Incremental builds with business validation each sprint, automated regression on core figures.
Persona-based enablement, floor-walking and self-service guardrails so usage actually sticks.
Usage analysis, performance tuning, retirement of unused reports and a rolling improvement plan.
Technology radar
Default target for new enterprise data products.
Standard for dashboards and planning stories.
Preferred over BEx for S/4-native reporting.
Still the backbone in many estates; keep it healthy.
Useful for approval-heavy reporting workflows.
For non-SAP volume and data science workloads.
Brings real code review to ABAP delivery.
Promising; needs clean semantics first.
Watching for master-data-heavy landscapes.
Out of strategic direction; migrate instead.
Creates competing numbers; retire them.
Business-domain experience
Case Studies
SAP Roadmaps
Phase 1
Landscape review, data source inventory, pain points and reporting maturity baseline.
Phase 2
Target architecture, KPI definitions, layered scalable model and governance rules.
Phase 3
Extractors, CDS/AMDP logic, HANA optimisation and migration of legacy reports.
Phase 4
Self-service enablement, dashboard rollout, hypercare and continuous improvement.
Articles
Teams

Every programme in my tenure was delivered by a team — analysts, developers, testers and process owners working across time zones. My role has consistently been to keep that group aligned on one definition of done, numbers the business trusts, delivered on the date we committed to.
CV
Detailed project history, certifications and references — available as a PDF.
Contact
Advisory, Programme Delivery, or a second opinion on an SAP Analytics Build and Roadmap — send a note and I'll come back to you.