Srinivasulu Cheripally
BI Architect | Analytics Solution Provider | Data Engineer | Data Analyst | AI & ML Engineer | RAG & Vector Search | AI Agent Building | Prompt Engineering | Azure Cloud | Web & App Development | MS SQL, MSBI, Power BI | Kyubit
Profile Snapshot
About Me
Data warehouse architect and consulting partner for analytics transformation
From BI Foundations to Modern AI-Ready Data Platforms
I specialize in designing and delivering data warehouse, analytics, and decisioning ecosystems that improve customer experience, operational efficiency, and executive visibility.
My core delivery track includes DW architecture, SSAS/SSIS/SSRS, Power BI, Tableau, Kyubit, KPI scorecards, decomposition analysis, and performance tuning for large-scale enterprise data.
I also support modern expansion paths across predictive analytics with Python, ML solution patterns, retrieval-augmented generation (RAG), vector search, and practical AI engineering integration.
Focus: DA, DE, DS, AIE, MLE, Agent Engineering, and Prompt Engineering in one cohesive delivery model.
Skills & Expertise
Technical proficiency spanning data architecture through AI engineering
Data Warehouse & BI
Database & SQL
ETL & Data Engineering
Analytics & Visualization
Python & Machine Learning
AI & Modern Tech
Spanning DA → DE → DS → AIE → MLE — delivering end-to-end data and AI solutions
Leadership Experience
Architecting enterprise BI, DW, and analytics programs across domains
Peerless Analytics Platform
Peerless Network Inc. • Apr 2018 - Present
Led DW and semantic analytics architecture, integrating SSAS cubes, Kyubit analysis, SSIS orchestration, and executive dashboarding for enterprise decision support.
- Architected SSAS cubes, partitions, perspectives, and security models
- Integrated cubes with Kyubit and scaled decomposition analysis
- Automated cube and ETL processing with XMLA, SSIS, and SQL jobs
- Delivered trend analysis on revenue and cost for management actions
- Enforced row, column, and cube-level security controls
Google Cloud Metrics Reporting
Google • Aug 2017 - Mar 2018
Built reporting and visual analytics for V9 Bookings and Paid Apps Seats metrics, enabling dimension-wise visibility across domain, country, product, and channel.
- Developed SQL analysis workflows and scheduled reporting pipelines
- Published executive dashboards using Tableau desktop/server
- Implemented LOD-based calculations and multi-source data blending
- Delivered recurring weekly metrics and production issue resolution
- Improved data visibility for enterprise reporting stakeholders
IVR, RTCI, and Omni Analytics Programs
Verizon Communications • Aug 2007 - Jul 2017
Led enterprise BI implementation for customer engagement and self-service analytics with high transaction scale, scorecards, and executive KPI dashboards.
- Analyzed ordering, billing, support, digital, and churn behavior patterns
- Delivered IVR dashboard and customer journey map within timelines
- Contributed to self-service increase and call volume reduction outcomes
- Implemented ETL, OLAP, SSRS scorecards, and operational reporting
- Supported platforms processing 150M+ transactions/day with growth path to 300M/day
Self-Storage Manager
Global E-Softsys Pvt. Ltd • Feb 2005 - Jul 2007
Delivered web, database, and reporting capabilities for a multi-facility self-storage management platform.
- Built service components to synchronize facility and corporate data
- Developed reporting layer and reusable web application components
- Implemented core SQL stored procedures, views, and business logic
- Contributed across design, development, and production support
Delivery Philosophy: Business Outcomes First
I connect strategy to measurable outcomes by combining architecture, governance, data modeling, KPI scorecards, and pragmatic AI extensions where they create real value.
Solution Portfolio
Data warehouse, BI, scorecard, and predictive analytics implementations
IVR Dashboard and Customer Journey Map
Designed and delivered executive dashboards and journey analytics for voice portal operations to improve self-service efficiency and reduce avoidable contact center load.
ASR Trend Analytics and Revenue Recovery
Analyzed accepted service rate trends, identified reduction factors, and drove corrective insights for improved conversion and revenue performance.
SSAS + Kyubit Semantic Analytics Platform
Architected enterprise cube-driven analytics with automated partitions, secured access controls, and decomposition insights for revenue and cost management.
Predictive Analytics and AI Modernization Track
Extending BI and DW foundations toward Python-driven predictive analytics, ML-assisted decisioning, and AI patterns including RAG, vectors, agent workflows, and prompt engineering.
AI & Modern Tech
Extending enterprise BI foundations with AI, ML, RAG, and agent engineering
RAG Pipelines
Building retrieval-augmented generation workflows that connect enterprise knowledge bases with LLM reasoning for context-aware analytics.
Vector Search & Embeddings
Implementing semantic search capabilities using vector embeddings to enable intelligent data discovery across enterprise datasets.
Agent Workflows
Designing autonomous agent systems that orchestrate data pipeline monitoring, anomaly detection, and self-healing analytics processes.
Prompt Engineering
Crafting structured prompts and prompt chains that translate business questions into precise analytical workflows and data queries.
ML Pipelines
Building end-to-end machine learning pipelines for predictive analytics, from feature engineering through model deployment and monitoring.
AI-Ready Data Warehouse
Bridging traditional DW architecture with modern AI capabilities by designing semantic layers that serve both BI dashboards and ML models.
KPI & Dashboard Expertise
Designing executive scorecards, KPI dashboards, and operational monitoring systems
Executive KPI Dashboard
Real-time executive visibility into revenue, cost, and operational health with drill-down decomposition and trend alerting.
Customer Journey Analytics
Multi-dimensional journey visualization mapping customer touchpoints from entry through resolution with drop-off analysis.
Revenue Trend Scorecard
Automated trend monitoring and root-cause analytics for accepted service rates, revenue recovery, and conversion optimization.
Operational Monitoring
Infrastructure and ETL health monitoring with automated alerting, cube processing status, and data freshness tracking.
Awards, Certifications & Recognition
Validated delivery quality across BI, DW, and analytics modernization
Designing Business Intelligence Solutions (70-467)
Microsoft Certification
Professional credential focused on designing enterprise BI solutions on Microsoft SQL Server.
Querying Microsoft SQL Server 2012/2014 (70-461)
Microsoft Certification
Certification validating SQL querying, data retrieval, and T-SQL proficiency.
Certified Scrum Master
Scrum Certification Body
Agile delivery credential supporting cross-functional execution and team coordination.
CIO Awards
Verizon
Recognized for OMNI integration, self-service increase, handoff optimization, and call volume reduction.
Additional Achievements
Pat-On-The-Back Award
Verizon / Frontier Sale Support • Multiple
Received 3 awards for delivery and support excellence.
Ovation Awards
Verizon • Multiple
Received 3 awards for IVR metrics modernization, IVR dashboard, and customer journey map contributions.
Employee of the Month
Verizon • Awarded
Recognized for SSAS cube architecture and Kyubit BI integration leadership.
Professional Journey
Key milestones from BI foundations to AI-enabled consulting
BI Lead and SSAS Architect at Peerless Network
Leading semantic analytics architecture, secure cube engineering, and executive insight delivery.
Business Intelligence Analyst at Google
Delivered Tableau-led booking and seats analytics with multi-dimensional reporting coverage.
Verizon Analytics Programs
Supported IVR, RTCI, and Omni analytics with measurable savings and customer experience improvements.
Business Impact and Platform Optimization
Contributed to $1.2M savings in customer analytics streams, $2M ASR-related gains, and $4M dashboard/journey outcomes.
Data Security and Infrastructure Hardening
Implemented masking controls and migrated TLS 1.0 to TLS 1.2 across 30 servers.
Project Lead at Global E-Softsys
Built foundational reporting and transactional synchronization capabilities for multi-facility systems.
Future Goals
Strategic direction for data platform and AI integration
AI-Ready Data Warehouse Blueprints
Standardize architecture patterns that connect classic DW models with vector and retrieval-enabled applications.
KPI Copilot and Decision Assistants
Design agent-assisted scorecard experiences that help business teams investigate metric drift faster.
Unified DA/DE/DS/AIE Delivery Model
Operationalize integrated teams that jointly own data pipelines, analytics models, and AI decision products.
DW + AI Integration Philosophy
“The best AI systems are built on trusted data foundations — not the other way around.”
After two decades of building enterprise data warehouses, I've learned that the most impactful AI solutions don't replace traditional BI — they extend it. Cubes inform feature stores. Scorecards guide model objectives. ETL pipelines feed both dashboards and ML training sets.
My approach bridges the gap: connecting proven DW architecture with modern RAG pipelines, vector search, and agent workflows to deliver analytics platforms that are both reliable and intelligent.
Practice Areas
Core disciplines spanning data architecture through AI engineering
Data Architecture
Designing conceptual, logical, and physical models including star/snowflake schema patterns.
Data Engineering
Building ETL workflows, data movement pipelines, and operational reliability for enterprise analytics.
Predictive and AI Engineering
Applying Python, ML, RAG, vector retrieval, and agent/prompt patterns on top of trusted data foundations.
Let's Connect
Open to DW architecture, KPI/dashboard modernization, predictive analytics, and AI engineering consulting
Get in Touch
Location
Chicago, IL, US
Current focus areas:
- DW architecture and cloud data modernization
- KPI scorecards, executive dashboards, and semantic modeling
- Predictive analytics, ML, RAG, vectors, and agent patterns