We build modern data platforms that unify fragmented sources, automate processing, and ensure quality at scale. From cloud native pipelines to real time streaming and governance automation, our engineering solutions deliver reliable, AI-ready infrastructure that powers analytics, ML, and intelligent operations across your enterprise.
Build Scalable
Data Pipelines that
Power Intelligence
CaliberFocus delivers comprehensive data engineering services across pipeline development, integration, modernization, and optimization. We build scalable, cloud-native architectures aligned with business workflows, compliance needs, and performance goals.
Using modern data platforms, ETL/ELT frameworks, real-time streaming, and automated orchestration, we ensure your data infrastructure is reliable, secure, and future-ready. From legacy migration to real-time processing, API integration to data lake development, our solutions eliminate silos and drive measurable impact.
Our engineers work closely with your teams to enhance data quality, streamline pipelines, and unlock full infrastructure value. We provide end-to-end support from architecture and implementation to monitoring, maintenance, and continuous improvement for long term success.
Comprehensive Data Engineering Solutions
Connect, Transform, Integrate, Optimize & Scale
Cloud Data Architecture & Migration
We architect cloud-native data platforms on hyperscalers like Microsoft Azure, AWS, and GCP to deliver scalability, security, and cost efficiency. Our services include data lake and warehouse implementation, hybrid architectures, migration, and optimization to move legacy systems into modern cloud ecosystems that support growth and innovation.
Data lakehouse architecture
Cloud data lake design & implementation
Hybrid and multi-cloud strategies
Legacy-to-cloud modernization
Cost optimization and performance tuning
IaC IT (Terraform & CloudFormation)
Data Pipeline Development & Automation
We design and automate scalable ETL/ELT pipelines that ingest and transform data across enterprise systems. Our solutions include orchestration engines, dependency management, error handling, and monitoring ensuring reliable, efficient data flows that support analytics, AI/ML, and operational reporting with minimal manual intervention.
Workflow orchestration
ETL/ELT pipeline development
Batch and incremental processing
Data transformation and enrichment
Performance optimization
Data integration & API connectivity
Real-Time Streaming & Event Processing
We build event driven architectures that process high velocity data streams with millisecond latency. Our solutions include Kafka implementations, stream processing engines, IoT data pipelines, Azure event hubs, Microsoft Fabric RTI and edge analytics enabling real-time insights, instant alerts, and automated responses that power operational agility.
Stream processing
Event-driven architectures
IoT device integration & telemetry processing
Edge analytics and processing
Real time data enrichment
Complex event processing (CEP)
Data Quality & Governance Automation
We establish auto data quality and governance frameworks to ensure accuracy compliance, and trust. Governance is embedded into architecture and pipelines so policies are enforced by design. Our solutions include validation rules, profiling automation, metadata management, lineage tracking.
Data quality assurance
Metadata management and lineage tracking
Master data management (MDM)
Data stewardship workflows and catalog
Compliance tracking (GDPR, HIPAA, CCPA)
Data privacy & security
DataOps & Infrastructure Automation
We implement DataOps practices that accelerate delivery, improve reliability, and reduce manual effort. Our solutions include CI/CD for data pipelines, infrastructure as code, automated testing, version control, and monitoring ensuring consistent, repeatable, and scalable data operations.
CI/CD pipelines for data workflows
Version control and change management
Performance monitoring and optimization
Data pipeline orchestration and automation
Data pipeline monitoring, error handling
SLA based L1, L2 and L3 support
Core Systems Sustainment & Legacy Data Services
While experts in cloud-native data solutions, we understand business continuity depends on the stability and performance of core relational databases. We provide development, tuning, and ongoing support for enterprise systems, ensuring reliable operation as the foundation for modern analytics.
Database management (SQL, PL/SQL, T-SQL)
Steady state maintenance & support
Performance monitoring & tuning
ETL jobs batch processing
System migration & upgrades
Data platform modernization plan
Design pipelines that connect systems, automate data flows, and power intelligent decisions for all.
Reliability Centered Design
We build fault tolerant systems with error handling, automated recovery, and monitoring. Our infrastructure ensures consistent data availability and processing integrity, backed by SLA uptime guarantees, disaster recovery features, and automated failover that keeps operations running even during infrastructure failures.
Cloud Native Architecture
We design modular, cloud-native platforms using serverless computing, containerization, and managed services to optimize cost, scalability, and efficiency. Built for the cloud from day one, our architectures provide elastic scaling, pay-per-use pricing, and the full advantages of modern managed cloud services across environments.
Automated Quality Assurance
We embed automated validation, profiling, and monitoring at every pipeline stage, ensuring data accuracy, completeness, and consistency without manual intervention. Quality is not an afterthought but a design principle in every solution we deliver, with scoring, anomaly detection, and remediation workflows.
Security First Approach
We implement encryption, access controls, audit logging, and compliance standards from the outset to protect sensitive data and meet regulatory needs. Security remains a core principle, strengthened through layered defenses, zero trust design, and continuous monitoring to ensure ongoing resilience and protection.
Logistics and Supply Chain
Energy and Utilities
Media and Entertainment
Travel and Hospitality
Education & EdTech
We collaborate with global technology leaders to deliver secure and scalable growth-driven digital solutions. Our partnerships strengthen our ability to innovate, accelerate transformation, and drive measurable business impact for our clients.
How do you ensure data quality throughout pipelines?
We automate validation at every stage, from source profiling to transformation checks, schema validation, anomaly detection, and reconciliation, with real-time monitoring and automated remediation workflows.Â
What's your approach to data pipeline migration?
We follow phased strategies, assessing pipelines, running parallel processing, and validating at each stage. We ensure zero data loss with checksumming, maintain historical continuity, and minimize disruptions with staged deployments.
How do you handle real-time processing?
We build low-latency, fault-tolerant systems using Kafka, Spark, and cloud tools. Our architectures support event-driven processing, CEP, and real-time analytics with sub-second latency and guaranteed message delivery.Â
What's the difference between ETL and ELT, and which should we use?
ETL transforms data before loading, while ELT loads raw data first and transforms it later. ELT works well for cloud systems, while ETL is suited for legacy systems. We often recommend hybrid strategies based on your needs.
How do you optimize pipeline performance?
We use parallel processing, caching, incremental loading, and smart scheduling. For cost optimization, we right-size resources, use spot instances, optimize storage, automate scaling, and eliminate redundant processing.Â
Case Studies
By adding predictive denial analytics, we cut claim denials by 35%, improved firstpass resolution, shortened A/R days, and reduced staff time on rework. The team now has better insight and smoother revenue cycle operations.Â
Route analytics gave us real visibility into delivery performance. Ontime delivery improved 22%, fuel efficiency and driver satisfaction rose, and operations run smoother with smarter planning and fewer delays.
By adding predictive denial analytics, we cut claim denials by 35%, improved firstpass resolution, shortened A/R days, and reduced staff time on rework. The team now has better insight and smoother revenue cycle operations.Â
CaliberFocus combines advanced data engineering capabilities with enterprise grade infrastructure to deliver pipelines built for reliability and scale. Our proven, efficiency driven methodology ensures seamless integration with minimal disruption and maximum performance. We don’t just move data; we engineer robust foundations that unlock real time insights and power data driven innovation across your organization.
- Scalable, secure data pipelines
- Real-time integration and processing
- High availability and performance
- Agile, collaborative implementation
Security & Compliance
