PIPELINE // THE 6-STAGE ENGINE

Six stages. And the sixth is the only one anyone sees.

Connect, extract, transform, store, analyze, deliver. Most of the engineering happens in the first five, which is the part that decides whether the sixth can be trusted.

ENGINEERING GUARANTEE

Every scheduled run either passes, arrives late, or fails.

All three are handled explicitly. A late or failed window is retried and replayed. It is never silently skipped, and reporting surfaces never display partial numbers as complete.

Stage-by-Stage Architecture

Detailed breakdown of data integrity controls enforced at each pipeline junction.

01STAGE 01

Connect

API Handshake & Authenticated Pooling

Establish OAuth 2.0 PKCE, rotating service account tokens, and secure egress pools.

Rate-limit token bucket algorithms to prevent API 429 throttling

Automatic health-check probes prior to scheduled execution windows

Secure encrypted vault secret storage with zero hardcoded keys

SLA TARGETZero Auth Failures Without Alerting

02STAGE 02

Extract

Incremental Extraction & State Watermarking

Collect reliable, structured delta feeds from multiple business endpoints.

Watermark-driven incremental extraction preventing redundant full-table scans

Cursor-based pagination with automatic retry for dropped socket connections

Missing-window replay mechanics: a failed window is replayed, never skipped

SLA TARGET100% Window Replay Coverage

03STAGE 03

Transform

Schema Validation, Normalization & Type Coercion

Clean, deduplicate, normalize currencies, and enforce referential integrity.

UTC timezone normalization and historical currency exchange conversion

Strict data contract validation that fails loudly on unexpected schema drift

Deduplication across idempotent event keys and transaction identifiers

SLA TARGETZero Silent Schema Corruption

04STAGE 04

Store

Optimized Storage, Partitioning & Clustering

Load clean data into PostgreSQL or high-performance cloud data warehouses.

Date-partitioned and clustered table structures tailored to query access patterns

Slowly Changing Dimensions (SCD Type 2) tracking historical entity states

Automated VACUUM, index maintenance, and compressed columnar storage

SLA TARGETSub-Second Analytic Query Latency

05STAGE 05

Analyze

Semantic Metric Modeling & Conformed Dimensions

Build unified data models and agreed metric definitions.

Single definition of truth for Revenue, Customer Acquisition Cost, and LTV

Conformed dimensions bridging advertising spend with e-commerce transactions

dbt-modeled transformations with automated CI/CD unit testing

SLA TARGETZero Discrepancy Between Business Units

06STAGE 06

Deliver

Power BI, Tableau & Custom React BI Interfaces

Surface intuitive, lightning-fast reporting dashboards that executive teams trust.

Direct DirectQuery and scheduled import models for Power BI and Tableau

Custom responsive React analytics interfaces with hardware-accelerated charting

Role-based row-level security (RLS) keeping sensitive financial data restricted

SLA TARGETAlways Synced with Warehouse State

API Outage Handling

When an ad network or commerce API experiences an outage, our exponential backoff pauses extraction without consuming quota.

Backfill & Replay

Once upstream services resume, the engine automatically replays from the last confirmed watermark without duplicating records.

Proactive Alerting

Webhook and Slack notifications fire within 60 seconds of an anomaly, long before executive dashboards can display bad numbers.

Ready to upgrade your data pipeline?

Tell us about your current ingestion bottlenecks and reporting challenges. We'll design a 6-stage architecture customized to your stack.

Talk to an Engineer