Data Reliability Engineering
Validation models, reconciliation logic, test strategy and operational trust controls for pipelines and platform outputs.
CAPABILITIES
Capabilities for reliable delivery across modern technology ecosystems
BBJV combines architecture, engineering, quality strategy and delivery support across software, AI, cloud migration, lakehouse platforms and business-critical integration flows.
Lakehouse Architecture
Medallion-based platforms, curated layers, integration boundaries, governance-aware design and long-term maintainability.
Cloud Migration Support
Source-to-target validation, cross-platform alignment, reconciliation patterns and post-migration trust building.
Software Delivery
Web platforms, APIs, integrations and cloud systems built with testable architecture and CI-ready automation.
AI Engineering
LLM applications, retrieval systems, document automation, evaluation harnesses and guardrails.
Batch & Real-Time Validation
Quality and behavior validation across batch and near-real-time environments, including synchronization flows.
Data Quality Automation
Framework design and validation structure using Python, PySpark and SQL to scale reliable quality checks.
Platform Integration
Enterprise applications, campaign platforms, APIs, cloud storage, operational systems and analytical targets.
Acceptance Criteria & Delivery Alignment
Testing scope, acceptance logic, execution models and definition-of-done alignment with stakeholders.
CAPABILITIES
Technologies connected to real delivery work
Azure DatabricksUnity CatalogAzure Data FactorySnowflakeAWS S3GCPKafkaMongoDBSQL ServerPostgreSQLOracleSalesforceSalesforce Marketing CloudAdobe APIsPythonPySparkSQLDockerRancher
HOW TO ENGAGE