Build clean, reliable, and scalable data pipelines — fast.
We design and automate modern data pipelines that keep your analytics, machine learning, and business decisions running on clean, trusted data — at scale. Whether you’re migrating to the cloud, cleaning up legacy systems, or building from scratch, we make your data infrastructure future-proof and easy to manage.
Build clean reliable and Insight-Ready Data Foundation
What We Architect & Implement:
Integrate data across departments, tools, and vendors
- Unify your ecosystem with smooth, secure, and scalable connections across all platforms.
Model your business logic into analytics-ready structures
- Design scalable data models that mirror operations and enable fast, accurate insights.
Automate pipelines for real-time or scheduled updates
- Deliver trusted data on demand with fault-tolerant, observable pipelines.
Enable Insights & AI with clean, queryable data
- Fuel analytics and AI with curated, enterprise-grade datasets—ready when you are.
Our Core Focus Areas:
Data Integration
Ingest and centralize data from SaaS tools, APIs, databases, flat files, events, and more—building a single source of truth.
Data Transformation & Modeling
Ingest and centralize data from SaaS tools, APIs, databases, flat files, events, and more—building a single source of truth.
Data Infrastructure Setup
Build or modernize cloud-native data platforms that scale with your needs—secure, cost-effective, and production-ready.
Analytics & ML Enablement
Deliver high-quality, real-time data to the tools and teams that need it—accelerating decisions and automation.
Modern Data Stack Engineering
We plug into your team—or operate as your on-demand engineering squad—to build robust, testable, and observable pipelines using today’s leading technologies.
What We Specialize In:
Ingestion Strategies
- Batch, micro-batch, real-time ingestion
- Sources: SaaS apps, databases, flat files, APIs, and streaming events
ETL / ELT Design
- Modular, testable workflows
- Orchestrated pipelines with dbt, Airflow, Dagster, etc.
Pipeline Variants
- Real-time streaming (Kafka, Flink, Spark)
- Change Data Capture (CDC)
- Micro-batch and trigger-based flows
Data Modeling Techniques
- Star/Snowflake schemas
- Data Vault
- Operational vs. analytical layers
- Domain-driven contracts
Architecture Patterns
- Medallion (Bronze → Silver → Gold)
- Lakehouse / Data Mesh
- Cloud-native, hybrid, or multi-cloud setups
Metadata & Lineage
- Data cataloging, business glossaries
- End-to-end traceability for compliance and debugging
Data Quality & Observability
- Rule-based validation, schema checks
- Automated alerts and logging
Master & Reference Data
- MDM systems and governed lookup datasets
- Single source of truth across tools and teams
CDC Implementation
- Log-based and trigger-based change tracking
- Real-time replication for transactional systems
Metadata- -Driven Engineering
- Auto-adaptive pipelines powered by schema awareness and data profiling
Infrastructure - as Code (IaC)
- Reproducible, CI/CD-enabled deployments
- Terraform, Pulumi, CloudFormation, etc.
Ready-to Elevate?
Want us inside- your stack next sprint?
Modern ELT/ETL Pipelines
Batch and real-time pipelines built for performance and flexibility.
Smart Data Ingestion
Ingest from APIs, files, databases, and message queues with ease.
Real-Time Streaming
Process live data with Kafka, Spark Streaming, or Flink.
Change Data Capture (CDC)
Keep systems in sync with low-latency updates.
Medallion Architecture (Bronze → Silver → Gold)
Organize your data lake for trust, performance, and clarity.
Data Catalog & Lineage Tracking
Know where your data comes from — and where it’s going.
Built-in Quality & Validation
Automated checks so you can trust every row.
Metadata & MDM Automation
Clean, consistent master data and full context, baked in.
Infrastructure as Code (IaC)
Fully managed, reproducible deployments.
Tools & Technologies:
- AWS
- Azure
- GCP
- Salesforce
- SAP
- HubSpot
- PowerBI
- ThoughtSpot
- Qlik Sense
- OpenAI
- GitHub
- DataBricks
- Snowflake
- AIrflow
- DBT
- Fivetran
- Stitch
- Informatica
- Tableau
- Looker
- Domo
- Modern ELT/ETL Pipelines Batch and real-time pipelines built for performance and flexibility.
- SEO and Optimazation
- Analytics and Research
- IT Management Services
- Web Development
- Mobile Applications
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Industry Specific IoT Development
The Estimated Global Cost of Cybercrime is $6T
and Climbing + 15% a Year.
IoT Development and Implementation Roadmap
