Born Digital. Built Agile. Measurable Outcomes.
TDWS Consulting Group helps enterprises modernize their data warehouses and ETL pipelines — creating clean, connected, and cloud-native data ecosystems that power real-time analytics, AI, and measurable business outcomes.
Most enterprises rely on legacy databases and manual ETL jobs that limit scalability, slow reporting, and compromise accuracy.
TDWS Consulting Group helps organizations transition to cloud-native, automated, and high-performance data environments. Our solutions ensure that every data point feeding your BI system is clean, structured, validated, and measurable — enabling trustworthy insights across departments.
“We don’t just move your data. We modernize it for measurable intelligence.”
Implementation and migration to Snowflake, Redshift, BigQuery, or Azure Synapse. → Scalable, secure, and optimized for BI.
Automate data extraction, transformation, and loading using dbt, Airflow, and Fivetran. → 60% faster processing and real-time sync.
Design star/snowflake schemas, fact tables, and dimensional models for analytics. → Consistent structure for accurate reporting.
Validation, deduplication, and monitoring frameworks for accuracy and compliance. → 90%+ improvement in data reliability.
Our Data Modernization Framework™ brings together engineering, automation, and governance to ensure your BI, AI, and analytics systems are powered by high-quality, scalable data.
Evaluate existing data infrastructure and pain points.
Define modern cloud data architecture and governance layers
Build ETL/ELT pipelines for continuous, real-time data flow.
Apply automated quality checks and reconciliation logic.
Monitor performance, cost, and SLA adherence continuously.
“Our data modernization process ensures every decision is powered by trusted data.”
Connect ERP, CRM, HRMS, and external APIs for seamless data flow.
Real-time transformation using tools like dbt, Fivetran, and Airbyte.
Architected for structured and semi-structured data at enterprise scale.
Centralized catalog for data lineage and discoverability.
Role-based access, auditing, and compliance readiness.
Automated error detection, load failure notifications, and performance metrics.
Each layer is built to ensure accuracy, scalability, and measurable BI performance.
TDWS delivers data warehousing and ETL modernization through an Agile+Outcome-Based model — ensuring measurable value delivery at every stage.
Built on TD Web Services Cloud, AWS, or Azure.
Phase-wise migration for zero downtime.
Use of CI/CD for pipelines and data validation.
Data accuracy, speed, and cost tracked throughout.
Reporting Latency
↑ 60%
Real-time updates & faster analytics
Data Accuracy
↑ 90%
Automated validation & deduplication
ETL Maintenance Effort
↓50%
Self-healing pipelines
Reporting Latency
↓ 70%
Cloud-native streaming architecture
Data Storage Efficiency
↑ 35%
Optimized compression & partitioning
ROI Realization
90 Days
Post-migration measurable returns
“TDWS modernized our data infrastructure — reports now load in seconds, not hours, and data accuracy is at an all-time high.”
— Head of Data Analytics, Global Consumer Brand
Rapid modernization with measurable milestones.
Data ingestion to analytics in one ecosystem.
Every migration measured by KPI improvement.
Cloud-native, scalable, and AI-compatible.
TDWS combines modern cloud, ETL, and orchestration tools to build scalable, intelligent data infrastructure.
TDWS Consulting Group designs and implements cloud-native data warehouses and automated ETL pipelines that enable trusted insights, faster decisions, and measurable business outcomes.