Sreenivasulu Mypati

Operations Associate

Bengaluru, Karnataka, India16 yrs 10 mos experience
Highly StableAI Enabled

Key Highlights

  • Delivered 150+ enterprise dashboards.
  • Reduced BI development cycles by 60-80%.
  • Built secure, scalable analytics systems for global leadership.
Stackforce AI infers this person is a Data Engineering and BI Architecture expert specializing in enterprise analytics solutions.

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Skills

Core Skills

Microsoft Fabric & Data EngineeringPower Bi & Semantic ModelingSoftware Development

Other Skills

Microsoft FabricMicrosoft Power BIDatabricksMicrosoft AzureArtificial Intelligence (AI)Claude SkillsGenAIPySparkPower BISQLDAXDeltaFabric LakehouseML modelsData Science

About

PROFESSIONAL SUMMARY Senior Power BI Architect and AI-driven Data Engineering leader with 15+ years of experience delivering enterprise-scale BI and analytics platforms across Energy, Retail, Hospitality, Finance, FMCG, and Manufacturing domains. Expert in Microsoft Fabric, Direct Lake, Databricks Delta, SSAS Tabular, and advanced DAX engineering, with proven success modernizing legacy BI platforms, designing governed Lakehouse architectures, and automating analytics workflows. Delivered 150+ enterprise dashboards, reduced BI development cycles by 60–80%, and built secure, scalable, audit-ready analytics systems trusted by global leadership teams using Copilot, Claude AI, Ajentic AI, and MCP Server. CORE SKILLS Power BI & Semantic Modeling: Direct Lake, Import & Hybrid Models, Star Schema, Calculation Groups, Advanced DAX, RLS/OLS, TE3 Automation Microsoft Fabric & Data Engineering: Fabric Lakehouse, Delta Lake, Dataflow Gen2, Fabric Pipelines, OneLake, Unity Catalog Databricks & Big Data: PySpark ETL, Delta Live Tables (DLT), Azure Data Factory Enterprise BI Architecture: SSAS Tabular, Kimball Dimensional Modeling, Data Warehouse Design AI-Driven BI Automation: Copilot, Claude AI, Ajentic AI, MCP Server Programming & Integration: SQL (Advanced), Power Query (M), Python, REST APIs

Experience

16 yrs 10 mos
Total Experience
3 yrs 4 mos
Average Tenure
3 yrs 1 mo
Current Experience

Freelance

BI & Reporting Consultant

Apr 2023Present · 3 yrs 1 mo · Bengaluru, Karnataka, India · Remote

  • PROFESSIONAL EXPERIENCE
  • Solution Architect – Analytics (Freelance | Paid Engagements)
  • Global Clients | Remote & Onsite | 2022 – 2026
  • Dairy & FMCG Analytics Platform (Mar 2025 – Feb 2026)
  • Clients: Sri Venkateshwara Dairy, Sreenivasa Dairy Milk, MOOMARK Pvt Ltd, KVP Dairy, Padmavathi Dairy
  • Architected and delivered an end-to-end analytics, forecasting, and accountability platform for milk procurement, loss control, profitability, and farmer welfare.
  • Designed a SQL-based Lakehouse architecture (Bronze–Silver–Gold) enabling governed ingestion, transformation, and analytics consumption.
  • Built enterprise data models spanning procurement, quality, logistics, processing, sales, forecasting, insurance, and accountability.
  • Implemented high-performance Power BI semantic models with star schema, minimal DAX, and role-level security.
  • Developed explainable forecasting logic with forecast-vs-actual accuracy tracking.
  • Defined KPI & SLA frameworks with ownership.
  • Retail Manufacturing Analytics (2022 – 2025)
  • Client: Nutan Jewellers – Nottingham, UK
  • Architected a Power BI + Microsoft Fabric analytics ecosystem with Direct Lake semantic models and OneLake governance.
  • Built predictive models for seasonal demand, margin forecasting, and customer segmentation using PySpark & Delta.
  • Automated multi-store ETL and reporting pipelines, reducing manual BI effort by 75% (480+ hours/month).
  • Enabled pricing, procurement, and inventory optimization through KPI frameworks and anomaly detection.
  • Hospitality Analytics Platform (2022 – 2025)
  • Client: Global Accommodation Group
  • Designed Fabric Lakehouse → Delta → Semantic → Power BI architecture for bookings, occupancy, revenue pacing, and pricing optimization.
  • Built semantic models with 180+ KPIs.
  • Developed ML models for occupancy forecasting, dynamic pricing
  • Automated enterprise refresh pipelines (<15 minutes) and reduced pricing decision cycles from 3 hours to 10 minutes across 30+ properties.
Microsoft FabricMicrosoft Power BIDatabricksMicrosoft AzureArtificial Intelligence (AI)Claude Skills+4

Global clients

Solutions Architect

Jan 2022Jan 2026 · 4 yrs

  • Dairy & FMCG Analytics Platform (Mar 2025 – Feb 2026)
  • Clients: Sri Venkateshwara Dairy, Sreenivasa Dairy Milk, MOOMARK Pvt Ltd, KVP Dairy, Padmavathi Dairy
  • · Architected and delivered an end-to-end analytics, forecasting, and accountability platform for milk procurement, loss control, profitability, and farmer welfare.
  • · Designed a SQL-based Lakehouse architecture (Bronze–Silver–Gold) enabling governed ingestion, transformation, and analytics consumption.
  • · Built enterprise data models spanning procurement, quality, logistics, processing, sales, forecasting, insurance, and accountability.
  • · Implemented high-performance Power BI semantic models with star schema, minimal DAX, and role-level security.
  • · Developed explainable forecasting logic with forecast-vs-actual accuracy tracking.
  • · Defined KPI & SLA frameworks with ownership, variance analysis, and financial impact attribution.
  • · Delivered CXO, operations, planning, and insurance dashboards.
  • · Established UAT-driven governance, audit-safe documentation, and Phase-2 optimization roadmap.
  • Retail Manufacturing Analytics (2022 – 2025)
  • Client: Nutan Jewellers – Nottingham, UK
  • · Architected a Power BI + Microsoft Fabric analytics ecosystem with Direct Lake semantic models and OneLake governance.
  • · Built predictive models for seasonal demand, margin forecasting, and customer segmentation using PySpark & Delta.
  • · Automated multi-store ETL and reporting pipelines, reducing manual BI effort by 75% (480+ hours/month).
  • · Enabled pricing, procurement, and inventory optimization through KPI frameworks and anomaly detection.
  • Hospitality Analytics Platform (2022 – 2025)
  • Client: Global Accommodation Group
  • · Designed Fabric Lakehouse → Delta → Semantic → Power BI architecture for bookings, occupancy, revenue pacing, and pricing optimization.
  • · Engineered PySpark & DLT pipelines processing 15M+ annual booking records across PMS and OTA systems.
  • · Built semantic models with 180+ KPIs (RevPAR, ADR, occupancy, pickup,
Microsoft FabricPower BISQLDAXPySparkDelta+2

Glowtouch technologies

Senior Power BI Architect

Mar 2012Aug 2019 · 7 yrs 5 mos · Bengaluru, Karnataka, India · Remote

  • Domain: Energy & Power Analytics |
  • Tech: Microsoft Fabric Lakehouse, Dataflow Gen2, Databricks Delta, SQL Server, Power BI, DAX, Python, PySpark, GenAI (Copilot, Claude, Ajentic)**
  • Enterprise Architecture & Data Engineering
  • Architected the Power Valuation Platform analysing 8,500+ power plants across North America (thermal, renewable, storage).
  • Designed multi-layer Fabric architecture: ingestion → Delta Lakehouse → Dataflow Gen2 → semantic models → certified datasets → enterprise dashboards.
  • Engineered Databricks & SQL pipelines for unit metadata, outage schedules, heat rates, emissions, bid/offer curves, LMP forecasts, and plant performance KPIs.
  • Implemented incremental refresh + partition pruning reducing refresh time from 6 hrs → 1.3 hrs.
  • Optimized data models with star schema, composite models, relationship tuning, and calculation groups to support 150+ dashboards.
  • Advanced DAX Engineering & Performance Tuning
  • Optimized high-complexity DAX measures using:
  • Variables & scoped evaluations
  • Virtual tables & iterators
  • CROSSFILTER & TREATAS patterns
  • GROUPBY and window functions
  • Achieved 3–5× faster query performance across valuation, dispatch, and financial modeling dashboards.
  • Built reusable DAX templates for valuation, generation mix, ramp rates, seasonal indexes, forced outage rates, reliability metrics.
  • AI Automation & Developer Productivity
  • Automated SQL, DAX, PySpark and documentation using GenAI (Claude, Copilot, Ajentic) → 40–60% reduction in development time.
  • Created AI-driven BI wireframes, KPI cards, measure templates, and storytelling flows for senior executives and market analysts.
  • Built Python-based utilities for data validation, anomaly detection, metadata extraction and lineage mapping.
  • Governance & Enterprise BI Standards
  • Implemented workspace governance, dataset certifications, lineage, RLS (ISO-based access), and metric cataloging.
  • Deployed CI/CD pipelines for automated dataset deployments, schema validation and report versioning
Microsoft Power BISQLData ScienceMicrosoft FabricDatabricksLakehouse+5

Genscape (via glowtouch)

Business Intelligence Developer

Jan 2012Jan 2018 · 6 yrs

  • · Migrated Excel-based forecasting systems into scalable BI platforms.
  • · Built SCUC & ED dashboards for PJM, MISO, NYISO, ERCOT, and other ISOs.
  • · Developed robust SQL and Power Query pipelines for operational analytics.

Lesto technologies private limited

Software Engineer

Mar 2007Dec 2009 · 2 yrs 9 mos · Hyderabad, Telangana, India

  • Tech: Java/J2EE, JSF, MySQL, Jasper Reports, REST Services, Workflow Engines, Reporting Systems
  • Enterprise Application & Reporting Architecture
  • Designed and developed modular analytics and reporting systems within Java/J2EE architecture, supporting enterprise-scale operational workflows.
  • Built RESTful data services to feed interactive dashboards, improving real-time access to KPIs across operations, finance and process teams.
  • Engineered multi-layer reporting engines using JSF + MySQL + Jasper, enabling configurable reports, drill-through views, and scheduled email distribution.
  • Database & Performance Optimization
  • Optimized SQL queries, indexing strategies and stored procedures, improving report generation performance by 2.5× for high-volume datasets.
  • Implemented database normalization, caching strategies and pagination logic reducing API response times by 40–60%.
  • Designed aggregated summary tables for high-frequency operational metrics, reducing live query load by 30%.
  • Workflow Automation & UI Engineering
  • Built workflow monitoring modules tracking process SLAs, pending actions, escalation triggers, approval cycles and operational delays.
  • Implemented custom UI components using JSF with role-based access, delivering a secure and responsive reporting experience.
  • Created reusable visualization components (tables, charts, filters) accelerating front-end development by ~35%.
  • System Integration & Deployment
  • Integrated reporting modules with existing ERP and operational systems using SOAP/REST APIs and batch synchronisation jobs.
  • Automated deployment pipelines using Ant and shell scripts, improving release reliability and reducing manual deployment effort by 50%.
  • Designed error-handling and logging frameworks capturing system failures, improving debugging efficiency across engineering teams.
  • Business & Operational Impact
  • Delivered dashboards that improved visibility into process SLAs, task turnaround times and operational bottlenecks.
JavaPython (Programming Language)Microsoft SQL ServerSQLRuby on RailsRuby+1

Lesto technologies | cspl | compnix corporation

Senior Software Engineer

Apr 2005Jun 2007 · 2 yrs 2 mos

  • · Developed analytics and MIS systems using Java, J2EE, MySQL, and JSF.
  • · Built workflow monitoring dashboards and manufacturing reporting solutions.
  • · Implemented secure applications using SHA-128/256 encryption.

Competentsolutions gmbh

Senior Software Developer

Apr 2003Jan 2005 · 1 yr 9 mos · Hyderabad, Telangana, India

  • Domain: Manufacturing Analytics & Workflow Systems
  • Tech: Java/J2EE, Struts/Servlets, SQL Server/MySQL, ETL Jobs, Reporting Engines, Scheduling Frameworks
  • Manufacturing Data Architecture & Workflow Engineering
  • Designed and developed Project Planning & Monitoring System (PPMS) to track production orders, machine utilization, workforce allocation, SLA adherence, and work-center efficiency.
  • Engineered a unified data model capturing BOM structures, routing steps, production cycles, capacity rules and shift calendars.
  • Built ETL jobs for ingesting shop-floor data (machine logs, operator entries, QC results), ensuring accurate real-time visibility.
  • KPIs, Dashboards & Operational Reporting
  • Delivered production dashboards including:
  • OEE (Overall Equipment Effectiveness)
  • Machine downtime analysis
  • Cycle-time variance
  • Planned vs. actual production
  • Rejection/defect ratios
  • Implemented drill-through reporting for batch-level traceability, enabling root-cause analysis for quality failures.
  • Developed SLA monitoring dashboards highlighting bottlenecks, reducing missed deadlines by 18–22%.
  • Performance Optimization & Database Engineering
  • Optimized SQL queries, indexing, and stored procedures to support large-volume production logs (100k–500k rows/day).
  • Built materialized summary tables for daily WIP, reducing report load times by 3×.
  • Designed scheduling modules for automated report generation, email delivery, and exception alerts.
  • Workflow Automation & Business Logic
  • Implemented approval workflows for production changes, QC exceptions, procurement requests and engineering modifications.
  • Added escalation rules for overdue tasks, reducing process delays by ~25%.
  • Developed reusable components for form handling, validations, user access, and audit trails.
  • System Integration & Deployment
  • Integrated PPMS with manufacturing ERP modules (inventory, procurement, QC) through REST/SOAP interfaces.
  • Automated deployments using Ant + shell scripting.

Education

Acharya Nagarjuna University

Master of Science - MS — Computer/Information Technology Administration and Management

Jun 2001Aug 2003

Andhra University

BCA — Information Technology

Jul 1998Aug 2021

Andhra University

Bachelor of Computer Applications

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