best software development company
Start a Project
Home / Portfolio / Utility Analytics & Data Integration Platform
Electricity & Gas Utility
1.5 Years
18 members
Hyderabad

Utility Analytics & Data Integration Platform

Modernizing utility data ecosystems into a scalable, secure, analytics-ready cloud platform using Azure Data Factory, Azure Databricks, Snowflake, Power BI, Azure Monitor, and enterprise-grade SRE operations.

Utility Analytics & Data Integration Platform

Azure + Databricks + Snowflake Enterprise Data Engineering Solution

Revuteck delivered an enterprise-grade utility analytics modernization solution by migrating fragmented utility data processing workloads into a scalable Azure, Databricks, and Snowflake-based architecture.

The solution included automated ingestion pipelines, scalable PySpark transformation frameworks, secure access management, monitoring, enterprise validation frameworks, reporting enablement, production support workflows, and SRE-driven operational reliability.

Business Required :

The client was operating with a fragmented utility data ecosystem supporting electricity and gas reporting, billing operations, consumption analytics, operational extracts, and downstream enterprise reporting systems.

Over time, the existing environment became increasingly difficult to scale and maintain. Transformation workflows experienced performance bottlenecks, reporting dependencies remained tightly coupled with legacy systems, operational monitoring lacked visibility, and production support required extensive manual intervention.

The business required a modern enterprise data platform capable of:

  • Handling large-scale utility data volumes

  • Improving transformation scalability and performance

  • Enabling faster analytics and reporting

  • Reducing manual operational effort

  • Improving reconciliation and data validation accuracy

  • Providing secure enterprise access governance

  • Supporting enterprise analytics and business intelligence

  • Establishing monitoring, observability, and production support workflows

Deliverables
Custom Delivery
Industry
Electricity & Gas Utility
Project Info
1.5 Years / 18 members
Location
Hyderabad
Technologies test
• Azure Data Factory • Azure Databricks • PySpark • Snowflake • Power BI • Azure Blob Storage

Let’s Build Something Great Together!

Research
Project Research

An inside look at how we identified the core problems, structured our approach, and delivered a scalable solution.

Project Research
Project Research
Project Research
Project Research

Business Challenges

The existing utility data ecosystem struggled with fragmented source systems, complex transformation workflows, reporting delays, data-quality inconsistencies, and limited visibility into production across electricity and gas operations.

Focus Areas :
-Utility data modernization
-Scalable transformation processing
-Pipeline automation
-Enterprise analytics enablement
-Production monitoring and SRE
-Secure reporting and governance

Project Scope

The project included Azure Data Factory orchestration, Databricks transformation development, Snowflake warehousing, validation frameworks, Power BI enablement, production support workflows, monitoring implementation, and SRE-driven operational reliability.

Deliverables:
-Cloud-native analytics architecture
-Automated ingestion pipelines
-Databricks transformation framework
-Curated enterprise analytics layers
-Monitoring dashboards and alerts
-Incident response workflows
-Enterprise reporting enablement

Development Approach

The engineering phase focused on scalable PySpark transformations, metadata-driven pipeline orchestration, reusable processing frameworks, validation automation, and enterprise-grade operational monitoring.

Key Research Areas:
-Azure integration patterns
-Databricks transformation optimization
-Snowflake warehouse tuning
-Utility data reconciliation strategy
-Production observability standards
-SLA-driven support model

Solution Provided

A layered cloud-native architecture was designed to separate ingestion, storage, processing, warehousing, reporting, monitoring, and support operations for better scalability, reliability, and maintainability.

Architecture Goals:

-Reliable utility data ingestion
-Scalable transformation processing
-Secure cloud storage and governance
-Optimized analytics datasets
-Automated quality validation
-Production-ready observability

Process
Process Flow

We build scalable mobile and web applications tailored to industry-specific workflows, user expectations, compliance requirements, and long-term business growth.

Discovery & Assessment

Architecture Design

Pipeline Development

Azure Storage Setup

Databricks Transformation

Snowflake Data Warehouse

Reporting & Analytics

Production Support & SRE

Discovery & Assessment

Analyzed the existing electricity and gas utility environment, evaluated legacy ingestion and transformation processes, identified critical operational data sources, mapped reporting dependencies, and collected modernization requirements to support enterprise-scale cloud migration and analytics transformation.
Key Activities:

-Source system analysis
-Legacy workflow assessment
-Business requirement gathering
-Reporting dependency analysis
-SLA and operational review
-Migration roadmap definition
-Risk and impact assessment

Architecture Design

Designed a scalable Azure + Databricks + Snowflake cloud-native architecture with dedicated ingestion, storage, processing, transformation, warehousing, reporting, monitoring, and production support layers.

Key Activities:

-Azure architecture planning
-Databricks processing design
-Snowflake warehouse architecture
-Security and RBAC planning
-Monitoring architecture setup
-Validation framework planning
-Scalable transformation strategy

Pipeline Development

Developed automated Azure Data Factory pipelines for ingestion, orchestration, scheduling, dependency handling, retry mechanisms, metadata-driven execution, and audit logging workflows.

Key Activities:

-ADF pipeline development
-Dynamic parameter implementation
-Automated scheduling setup
-Dependency orchestration
-Retry and failure handling
-Audit logging integration
-Metadata-driven execution

Azure Storage Setup

Configured Azure Blob Storage landing, processing, archive, reject, audit, and reprocessing zones to support secure raw file handling, traceability, structured ingestion, and operational data management.

Key Activities:

-Landing zone setup
-Archive structure implementation
-Reject file handling
-Audit storage management
-File partition strategy
-Data retention planning
-Secure cloud storage configuration

Databricks Transformation

Implemented Azure Databricks PySpark transformation workflows for data cleansing, standardization, enrichment, business rule processing, deduplication, and scalable utility data processing.

Key Activities:

-PySpark notebook development
-Schema validation logic
-Data cleansing implementation
-Business rule processing
-Deduplication workflows
-Enrichment processing
-Audit metric generation

Snowflake Data Warehouse

Created Snowflake RAW, STAGE, CURATED, MART, and AUDIT schemas with optimized warehouse structures, SQL transformations, stored procedures, curated reporting models, and enterprise-grade RBAC security.

Key Activities:

-Snowflake schema creation
-Warehouse and table design
-SQL transformation development
-Stored procedure implementation
-Curated analytics modeling
-Reporting mart preparation
-Query optimization setup

Reporting & Analytics

Integrated Power BI dashboards with curated Snowflake datasets to deliver utility operations reporting, billing analytics, consumption insights, regulatory reporting, and executive KPI visibility.

Key Activities:

-Power BI integration
-KPI dashboard development
-Utility analytics reporting
-Semantic model preparation
-Curated data consumption
-Reporting optimization
-Executive dashboard enablement

Production Support & SRE

Implemented production support workflows, Azure Monitor alerts, incident management processes, SLA tracking, pipeline observability, RCA documentation, and SRE-driven operational reliability practices.

Key Activities:

-Azure Monitor configuration
-Incident response workflows
-SLA monitoring setup
-Pipeline observability
-Root cause analysis
-Production issue management
-Operational support documentation

Features
Key Features

We build scalable mobile and web applications tailored to industry-specific workflows, user expectations, compliance requirements, and long-term business growth.

(01)

Intelligent Utility Dashboard

Centralized utility analytics dashboards designed to provide real-time visibility into billing, consumption, operational KPIs, reporting metrics, and enterprise pipeline health.

Key Points:

-Real-time utility analytics visibility
-Pipeline execution monitoring
-Operational KPI tracking
-Reporting performance insights
-Business-ready dashboards
-Executive reporting metrics

🏗
(02)

Automated Pipeline Orchestration

Azure Data Factory pipelines automate ingestion, scheduling, dependency handling, Databricks execution, retry workflows, audit logging, and metadata-driven processing.

Key Points:

-Automated ingestion workflows
-Dynamic scheduling
-Retry and failure handling
-Metadata-driven execution
-Dependency management
-Audit logging integration

🔐
(03)

Databricks Transformation Engine

Azure Databricks with PySpark provides scalable transformation processing for utility datasets, including cleansing, enrichment, validation, deduplication, and business rule execution.

Key Points:

-PySpark-based transformations
-Large-scale data processing
-Data cleansing and enrichment
-Deduplication workflows
-Validation processing
-Scalable transformation execution

👥
(04)

Enterprise Data Validation

A multi-layer validation framework ensures schema consistency, reconciliation accuracy, data quality validation, and business rule verification across all processing stages.

Key Points:

-Schema validation checks
-Duplicate detection logic
-Null and datatype validation
-Source-to-target reconciliation
-Business rule validation
-Error and reject handling

💰
(05)

Secure Snowflake Architecture

Scalable Snowflake enterprise warehouse architecture supporting RAW, STAGE, CURATED, MART, and AUDIT layers with optimized transformations and RBAC security controls.

Key Points:

-Multi-layer Snowflake schemas
-Optimized warehouse structure
-Curated reporting models
-Role-based access control
-Secure governance framework
-Query performance optimization

📋
(06)

Production Support & SRE

Production-ready monitoring and SRE operations improve observability, reduce downtime, manage incidents, and support enterprise SLA compliance.

Key Points:

-Azure Monitor integration
-Incident response workflows
-SLA tracking and monitoring
-Pipeline observability
-Root cause analysis
-Operational reliability management

📊
Home
Results
Project Results

We build scalable mobile and web applications tailored to industry-specific workflows, user expectations, compliance requirements, and long-term business growth.

0 %
Improved operational monitoring efficiency
0 %
Reduction in manual pipeline handling
Utility Analytics & Data Integration Platform
Utility Analytics & Data Integration Platform
0 X
Faster scalable transformation processing capability
0 %
Improved reporting readiness and observability
U
Utility Analytics & Data Integration Platform
Admin

Client Review

“Revuteck successfully modernized our utility analytics ecosystem into a scalable Azure + Databricks + Snowflake architecture. The platform improved transformation scalability, operational visibility, reporting reliability, and long-term enterprise analytics readiness.”

Contact
Let’s Build
Intelligent Things

combining creativity, technology, and strategy to craft solutions that think, adapt, and inspire. Connect with us to turn visionary ideas into meaningful, data-driven realities.

E-mail address
sales@revuteck.com
Phone number
+91-7032094811
Fill this form below

You've reached the end — now let's start something new!

Let’s Connect
Trust us we are good at this :)
✓Brand Strategy
✓AI Solutions
✓Technology
✓Cloud & DevOps
✓UI/UX
✓Rapid Prototyping
✓Web & MVPs
✓Digital Marketing
✓Brand Strategy
✓AI Solutions
✓Technology
✓Cloud & DevOps
✓UI/UX
✓Rapid Prototyping
✓Web & MVPs
✓Digital Marketing
Revuteck...
CLOSE
sales@revuteck.com +91-7032094811

CUP