Data platforms, ETL pipelines, real-time analytics, and BI dashboards — turning raw data into strategic advantage at enterprise scale.
We build data platforms that give your teams real-time visibility into operations, customers, and performance. From designing data architectures and ETL pipelines to deploying dashboards that executives actually use — we handle the full stack from ingestion to insight.
Whether you're consolidating fragmented data sources across 100+ offices, building a real-time analytics layer for IoT devices, or standing up your first data warehouse — we bring the engineering depth to make it work at scale, governed, and secure.
End-to-end data platform design using Data Mesh, Data Fabric, or Lakehouse patterns. From strategy to implementation — governed, scalable, and cloud-native.
Automated data ingestion, transformation, and loading pipelines connecting disparate sources. Batch and streaming, with monitoring and error handling built in.
Modern cloud data warehouses with raw, curated, and consumption zones. Optimized for both analytical queries and downstream AI/ML workloads.
Interactive dashboards and reports that executives, ops teams, and analysts actually use. Real-time KPIs, semantic models, and self-service analytics.
Event-driven architectures for real-time data processing. IoT telemetry, transaction monitoring, and live operational dashboards.
Data cataloging, lineage tracking, access controls, and regulatory compliance. GDPR, ISO 27001, and PCI-DSS frameworks applied to your data layer.
Enterprise Azure infrastructure for a logistics conglomerate across 100+ countries. Microsoft Fabric, Azure Data Factory, Azure Purview for governance, and Snowflake integration. TOGAF-based architecture design.
ML recommendation engine powering product discovery for 160M+ annual shoppers. High-performance ML modules integrated into a 5-year engineering partnership.
Enterprise data platform for a logistics conglomerate operating across 100+ countries. Microsoft Fabric lakehouse with raw/curated/consumption zones, MuleSoft integrations (CargoWise, SAP), Power BI dashboards, and Azure Purview governance.
Real-time telemetry and analytics platform for a nationwide EV fast-charging network. Event-driven architecture with Redshift data warehouse, S3 data lake, and operational dashboards powered by Grafana and Prometheus.
IoT data platform for a major European energy provider. Real-time energy consumption monitoring across solar panels, EV chargers, and heating systems for 100K+ active users across 7 markets.
Migrated 10 legacy Salesforce orgs into a single unified org with AWS data warehouse as the integration backbone. Deduplicated customer profiles, standardized data models, and built the foundation for Marketing Cloud AI.
Data pipeline for payroll cost ingestion, revenue-to-employee linkage, and margin analysis by service line, country, and client for a global BPO company. Monthly batch processing with Power BI dashboards.
Gamified recycling platform with carbon footprint tracking, district-based analytics dashboards, and environmental impact reporting for a nationwide sustainability initiative.
Finite capacity scheduling system with drag-and-drop Gantt, capacity constraint modeling, and production analytics. Replaced 6 physical whiteboards with real-time digital planning across a 26-34 week horizon.
Power BI dashboards integrated with Microsoft Fabric for a global pharmaceutical manufacturer. Azure Data Factory pipelines orchestrating data from SQL Server, CRM, and regulatory sources into a unified analytics layer for sales intelligence and compliance reporting.
Full migration from Amazon Redshift to Snowflake for a B2B digital bank. Rebuilt data models with dbt, integrated Looker for self-service analytics, orchestrated with Airflow, and maintained data continuity across S3 and AWS Glue pipelines throughout the transition.
15+ production data pipelines (batch and streaming) serving BI, Data Science, and ML models for a major telecom operator. PySpark and Kafka streaming on Cloudera with Airflow orchestration. Optimized core ETL framework reducing processing time by 30%.