About PODS Analytics
PODS Analytics helps organisations accelerate Microsoft Fabric and modern data platform delivery using reusable, enterprise-grade patterns for ingestion, transformation, semantic models, reporting, and monitoring.
Built from real-world delivery experience across enterprise data platforms.
Why PODS Was Created
PODS Analytics was created to solve a common challenge in enterprise data platforms — slow, inconsistent, and repetitive delivery.
Across many modern data platform implementations, teams often rebuild ingestion pipelines, transformation logic, semantic layers, and reporting foundations from scratch. This increases delivery time, creates inconsistency, and makes operational support harder than it should be.
PODS was designed as a reusable, framework-driven approach to standardise onboarding, improve data quality, reduce rework, and accelerate delivery on Microsoft Fabric and modern data platforms.
What Makes PODS Different
Reusable Delivery Patterns
Reduce implementation effort by using repeatable patterns for onboarding, transformation, and reporting.
Metadata-Driven Approach
Use configuration and framework-driven logic to make delivery more scalable and consistent.
Built for Microsoft Fabric
Designed around Microsoft Fabric, lakehouse delivery, semantic models, Power BI, and observability patterns.
Enterprise-Ready Thinking
Support production delivery with monitoring, alerting, quality patterns, and operational structure from day one.
Founder
Jagan Kothapalli
Founder, PODS Analytics
Jagan Kothapalli is a Senior Data Engineer and platform architect with experience designing and delivering modern data platforms across Microsoft technologies.
His work has focused on metadata-driven ingestion frameworks, lakehouse architecture, semantic modelling, Power BI reporting, and monitoring and alerting frameworks for enterprise-scale delivery.
PODS Analytics reflects that experience — combining consulting delivery with reusable platform patterns that help organisations onboard use cases faster, reduce rework, and improve operational quality.
Expertise
- •Microsoft Fabric and Azure data platforms
- •Metadata-driven ingestion and orchestration
- •Lakehouse architecture and transformation frameworks
- •Semantic models and reporting delivery
- •Monitoring, alerting, and platform operations
Our Vision
To help organisations move from fragmented data delivery to standardised, scalable, and production-ready data platforms — faster.
PODS Analytics aims to combine consulting expertise with reusable delivery patterns so teams can accelerate onboarding, improve trust in data, and build modern analytics platforms with confidence.
Ready to accelerate your data platform journey?
Talk to PODS Analytics about Microsoft Fabric, data engineering, reporting, or reusable platform delivery patterns.