Bearing's Data Engineering Solutions
Data engineering is the backbone of every modern enterprise.
We design and operate scalable, secure, and automated data platforms that move information from raw streams to governed, trusted, and ready-to-use intelligence.
Our solutions power mission analytics, AI adoption, and real-time operational decision-making across complex commercial and national-security environments.
Core Capabilities
Modern Data Pipelines
High-throughput ingestion, transformation, streaming, and enrichment across cloud, hybrid, and air-gapped missions.
Data Platform Architecture
Lakehouse, streaming mesh, and enterprise data fabric patterns with fault-tolerant, distributed design.
ETL/ELT & Orchestration
Automated workflows for extraction, transformation, validation, and delivery with CI/CD and data quality gates.
Data Quality & Governance
Lineage, cataloging, schema evolution, observability, access control, and audit-grade compliance.
Real-Time & Batch Processing
Streaming and micro-batch systems tuned for low-latency operational workloads and high-volume historical analysis.
Scalable Cloud & Hybrid Deployment
Secure builds across AWS, Azure, GCP, on-prem, and tactical edge environments with automated infrastructure patterns.
What You Gain
- Reliable, automated pipelines for structured and unstructured data
- Strong governance and lineage with audit-ready trust controls
- Sub-second streaming for operational and security workloads
- Platform independence and freedom from vendor lock-in
- Higher analyst and data-science productivity
- Foundations that accelerate AI, analytics, and automation
Our philosophy: build once, scale everywhere, trust always.
Technology Ecosystem
Pipelines & Orchestration
Airflow, dbt, NiFi
Streaming & Ingest
Kafka, Flink, Spark Streaming
Data Platforms
Databricks, Snowflake, Delta Lake, Iceberg
Search & Indexing
Elastic, OpenSearch, Splunk
Storage & Compute
S3, ADLS, GCS, Kubernetes
Ops & Automation
Terraform, GitLab/GitHub CI, Helm