🔗 Cross-Functional Data Pipeline

Unified Analytics Foundation | Siterecon.ai

Data Sources Integrated
8
CS, Ops, Eng, Finance, Sales
Daily Events Processed
5M+
Real-time streaming
Data Quality (Pass Rate)
99.5%
50+ automated tests
Query Latency Reduction
-62%
12s → 4.5s (avg query)

Data Platform Architecture (Medallion Pattern)

🟤 BRONZE LAYER (Raw Data)

Ingests unstructured/raw data from 8 source systems with minimal transformation. Preserves data lineage.

Customer Success (Salesforce)
Operations (ClickUp, Jira)
Engineering (GitHub, DataDog)
Finance (QuickBooks)
Sales Pipeline (Pipedrive)
Product Analytics (Mixpanel)
🟡 SILVER LAYER (Cleaned & Standardized)

Applies business logic, deduplication, and standardization. Maintains data integrity through 50+ dbt tests.

Customer Dimension (dbt)
Order Fact Table
Support Ticket Events
Product Usage Events
Financial Transactions
Team Capacity Data
🟢 GOLD LAYER (Business-Ready)

Curated analytics-ready tables optimized for reporting and self-service analytics.

Customer Health Score
Revenue Metrics (MRR, ARR)
Support SLA Dashboard
Product Adoption Analytics
Forecast Models
Executive Insights

Data Pipeline Flow & Integration

1

Data Ingestion (Airbyte)

5M+ daily events from 8 source systems ingested in real-time via API connectors & webhooks

2

Stream Processing (Kafka)

Events buffered, deduplicated, and routed to data warehouse with exactly-once semantics

3

Data Warehouse (Snowflake)

Raw data staged in Bronze layer; structured for medallion architecture with partitioning/clustering

4

Transformation (dbt)

40+ dbt models transform Bronze → Silver → Gold with 50+ automated data quality tests

5

Data Quality & Validation

99.5% defect detection before production; alerts on schema changes, null violations, data drift

6

Self-Service Analytics

50+ Gold tables enable 8 departments to create dashboards, reports, and ML models independently

Data Quality & Governance

Data Freshness
< 5 min

Real-time ingestion for critical metrics

Defect Detection Rate
99.5%

Before production via automated tests

Data Completeness
99.8%

Across all source systems

Query Performance
62% ↓

Latency improvement (12s → 4.5s)

Platform Performance & Impact

Query Performance Over Time

Data Processing Volume (Daily)

Data Model & Test Coverage

dbt Model Distribution

Test Coverage by Layer

Self-Service Analytics Adoption

Department Users Enabled Dashboards Created Monthly Queries Support Tickets Reduced
Customer Success 45 18 2,850 -35%
Operations 32 12 1,920 -42%
Finance 28 14 1,680 -38%
Sales 35 16 2,100 -40%
Product 22 8 1,320 -38%
Engineering 18 6 1,080 -35%
Marketing 24 10 1,440 -36%
Executive 12 8 960 -40%

💡 Business Impact & Key Achievements

Consolidated 8 siloed data sources (CS, Ops, Eng, Finance, Sales, Product, Marketing, Executive) into unified warehouse breaking organizational barriers
Architected medallion architecture with 40+ dbt models & 50+ automated data quality tests, achieving 99.5% defect detection before production
Reduced query latency by 62% (12s → 4.5s) through incremental loads & intelligent partitioning, improving analyst productivity by 35%
Enabled self-service analytics for 8 departments (216+ users), reducing analytics support tickets by 35-42% and freeing 30 hours/week of engineering capacity ($75K+ value)
Implemented comprehensive data governance with documented lineage, access controls, and lineage tracking across 50+ Gold tables
Real-time data freshness (<5 min) enabled instant decision-making for critical business metrics (MRR, churn, support SLA)

Technical Stack & Implementation

Component Technology Purpose & Scale
Data Ingestion Airbyte + Webhooks 5M+ daily events from 8 sources (Salesforce, ClickUp, GitHub, Mixpanel, etc.)
Stream Processing Apache Kafka Real-time buffering & deduplication with exactly-once semantics
Data Warehouse Snowflake Medallion architecture: Bronze (raw), Silver (clean), Gold (analytics-ready)
Transformation dbt + Git 40+ models with SQL, 50+ tests, full CI/CD, version control
Data Quality dbt Tests + Great Expectations Automated validation: 99.5% defect detection, SLA monitoring
Self-Service BI Metabase / Looker Studio 50+ Gold tables available to 216+ analysts across 8 departments
Governance dbt Documentation + Data Catalog Lineage tracking, access controls, column-level metadata