Data Platforms
Built For Petabyte Scale
Stop fighting silent pipeline crashes and stale warehouse models. We engineer automated streaming ingestion, dbt transformations, and zero-loss lakehouse architectures in 2–4 weeks.
Why Legacy Data Pipelines Break Under Modern Demands
Most mid-market data teams inherit brittle cron scripts, disconnected SQL models, and massive cloud bills that scale linearly with query volume. When data schemas drift, pipelines fail silently, leaving executives blind and AI systems hallucinating.
The CodePlaced Reliability Guarantee
We replace fragile pipelines with self-healing, auditable data contracts. Every ingestion stream is tested for zero-loss throughput and verified against strict schema assertions.
Architectural Capabilities
Production-grade data engineering built for zero downtime and petabyte throughput.
Data Platform & Pipelines
Streaming Kafka and batch event ingestion designed for 150,000 req/sec without dropped frames.
Cloud Lakehousing
Unified columnar warehouses (ClickHouse, Snowflake, Databricks) optimized for instant analytical queries.
Data Integration & Connectors
Seamless integration across Salesforce, Stripe, HubSpot, on-prem SQL, and custom ERP APIs.
Automated Governance & QA
dbt automated testing, real-time schema validation, and cryptographically verified audit trails.
From Discovery to Live Lakehouse in 4 Weeks
Deep Schema Audit
Dissect existing data sources, error rates, and security posture. Deliver target lakehouse topology contract.
Pipeline Infrastructure
Deploy automated ingestion connectors, Kafka event brokers, and staging tables via Terraform IaC.
dbt Transformations
Write modular SQL transformation models with automated regression tests and schema assertion gates.
Cutover & Telemetry
Zero-downtime blue/green cutover to your cloud environment with 24/7 SLA monitoring and team runbooks.
Production Data Stack
Frequently Asked Questions
Can you migrate our legacy relational database without downtime?
Yes. We implement Change Data Capture (CDC) with Debezium or managed replication streams, syncing changes in real-time until final zero-downtime cutover.
Do you build inside our cloud account or manage it externally?
We deploy directly into your private AWS, GCP, or Azure accounts using auditable Terraform IaC. You maintain 100% code, data, and infrastructure ownership.
How do you guarantee data accuracy?
Every pipeline includes automated dbt unit tests, schema assertion checks, and volume reconciliation alerts before downstream consumers receive data.
Ready to Upgrade Your Data Platform?
Book a 30-minute scoping call with a Principal Data Architect.
Schedule Scoping Session