From scattered data to clean, AI ready intelligence
Your data is scattered across 15+ systems and too messy for AI. Our AI integration services build unified pipelines that extract, transform, and deliver clean, reliable data, so your analytics and AI actually work.
Your Data Infrastructure Is Holding You Back
Let's be honest about your data situation:
Data Is Scattered Everywhere
Salesforce, NetSuite, Google Analytics, Stripe, Zendesk, spreadsheets, legacy databases... nobody has a complete view of the business.
Analysts Waste 80% on Wrangling
Instead of generating insights, your team spends their time downloading exports, copy-pasting between spreadsheets, and cleaning data.
Data Quality Is Terrible
30% duplicate records, inconsistent formats, missing fields, outdated information. Finance, Sales, and Accounting show different revenue numbers.
AI Projects Fail Due to Data
You've tried ML models and BI dashboards, but can't get clean training data. Projects die in 'pilot purgatory' or show conflicting numbers.
AI Integration Services for Multi-System Companies
We build production-grade data pipelines that eliminate the chaos:
Extract: Connect to Everything
Pull data from all your sources automatically
- SaaS Apps: Salesforce, HubSpot, Stripe, Zendesk, Shopify, QuickBooks, Google Analytics, Mixpanel
- Databases: PostgreSQL, MySQL, MongoDB, SQL Server, AWS RDS, DynamoDB
- Files & Legacy: CSV/Excel from SFTP, S3, email attachments, on-premise systems, mainframes
- Streaming: Real-time events, Kafka, webhooks, change data capture (CDC)
Transform: Clean and Standardize
Make raw data analytics-ready
- Data Cleaning: Remove duplicates (fuzzy matching), fix formatting, handle nulls, standardize values
- Data Enrichment: Geocoding, company info, categorization, derived metrics (LTV, churn risk)
- Data Modeling: Unified customer view, star schema for analytics, aggregations, slowly changing dimensions
- Business Logic: Your MRR/ARR definitions, revenue recognition rules, custom metrics
Load: Deliver to Your Warehouse
All clean data in one unified warehouse
- Warehouse Options: Snowflake, Google BigQuery, AWS Redshift, Azure Synapse, PostgreSQL
- Data Organization: Raw layer (exact copy), staging (cleaned), analytics (business-ready), department marts
- Benefits: Single source of truth, fast queries, historical tracking, scalable from GB to PB
- Security: Encryption, access controls, audit logs, cost-effective pay-for-use model
Monitor: Ensure Data Quality
Continuous monitoring and alerting
- Quality Checks: Freshness ('data hasn't updated in 6 hours'), volume anomalies, schema drift, value validation
- Alerting: Slack/email when checks fail, severity levels, automatic retries for transient failures
- Observability: Data lineage (trace source → report), impact analysis, SLA monitoring
- Governance: Version control for all transformations, access controls, compliance audit trails
THE EDGEFIRM DIFFERENCE
Unlike DIY with Fivetran/dbt:
- • We handle the complex sources
- • Custom transformations for your logic
- • Production-grade monitoring included
Unlike large consultancies:
- • 4-5 month delivery (not 12-18)
- • Senior engineers, not juniors
- • Fixed pricing, you own the code
Unlike managed platforms:
- • No per-row/per-user fees
- • Works in your cloud account
- • Full control and portability
Built on Modern Data Stack
Ingestion & Orchestration
- Airbyte
- Fivetran
- Apache Airflow
- Prefect
- Dagster
Transformation
- dbt (data build tool)
- Great Expectations
- Python/pandas
- Apache Spark
- SQL
Storage & Warehousing
- Snowflake
- Google BigQuery
- AWS Redshift
- PostgreSQL
- Delta Lake
Monitoring & Quality
- Monte Carlo
- dbt tests
- Custom alerts
- DataDog
- CloudWatch
Data Pipelines for Every Industry
E-Commerce & Retail
Unified Customer View, Inventory Sync, Marketing Attribution
Challenges
- • Customer data fragmented across Shopify, email, ads, and support
- • Inventory out of sync between warehouse, stores, and marketplace
- • Can't attribute sales to marketing campaigns accurately
Our Solutions
- • Unified customer 360: merge transactions, browsing, support, email engagement
- • Real-time inventory sync across all channels with auto-reorder triggers
- • Multi-touch attribution model connecting ad spend to actual revenue
Typical Results
- • 360° customer view across all touchpoints
- • 95% inventory accuracy (was 70%)
- • 20% improvement in marketing ROI
Illustrative outcomes from comparable deployments. Actual results depend on your data, scope, and use case.
How We Deliver Data Pipelines in 4-5 Months
Discovery & Architecture
- Interview stakeholders and document data pain points
- Inventory all data sources: volume, quality, update frequency
- Design target data architecture and warehouse schema
- Build ROI model and prioritize data sources by impact
- Set up development environment and tooling
Deliverable: Technical architecture document, project roadmap, infrastructure setup
Data Pipeline Development
- Connect to top 5-10 priority data sources
- Build extraction pipelines with incremental loading
- Set up data warehouse and raw data landing zones
- Implement initial data quality checks
- Test data freshness and completeness
Deliverable: Data flowing from priority sources into warehouse
Transformation & Quality
- Build dbt transformation models for business logic
- Create unified data models (customer 360, product, finance)
- Implement comprehensive data quality framework
- Set up alerting for quality issues and pipeline failures
- Document data dictionary and lineage
Deliverable: Clean, modeled data ready for analytics
Integration & Testing
- Connect BI tools and build initial dashboards
- Set up reverse ETL to operational systems if needed
- Performance optimization and cost tuning
- User acceptance testing with analytics team
- Add remaining data sources
Deliverable: End-to-end pipeline with BI integration
Launch & Documentation
- Production deployment with monitoring
- Train your team on pipeline management
- Complete documentation: architecture, runbooks, data dictionary
- 30 days post-launch support and optimization
- Knowledge transfer and handoff
Deliverable: Production data platform with trained team
Transparent Pricing for Data Pipelines
Typical Investment Range
$50,000 - $150,000
Full project delivery in 4-5 months
Factors that affect pricing:
Number of Sources
5-10 sources vs 20+ systems to connect
Data Volume & Velocity
GB vs TB, batch vs real-time requirements
Transformation Complexity
Simple joins vs complex business logic and ML features
Compliance Requirements
PII handling, HIPAA, SOC 2, data residency needs
What's Included:
Common Questions About Data Pipelines
Fivetran and Airbyte are great for extraction (the 'E' in ETL), and we often use them. But they don't solve the hard problems: data modeling (how do you calculate MRR?), quality monitoring (is the data correct?), transformation logic (business rules), and integration with your analytics tools. We build the complete data platform, not just the connectors. We also handle sources these tools don't support and build custom transformations for your specific business logic.
Almost anything. SaaS applications (Salesforce, HubSpot, Shopify, Stripe, etc.), databases (PostgreSQL, MySQL, MongoDB, SQL Server, Oracle), files (CSV, Excel, JSON from SFTP, S3, email), streaming data (Kafka, webhooks, CDC), and even legacy systems like mainframes and on-premise databases behind firewalls. If it has an API or can export data, we can integrate it.
Data quality is built into every layer. During ingestion: Schema validation, freshness checks, row count monitoring. During transformation: Deduplication, standardization, null handling, business rule validation. Post-load: Automated testing, anomaly detection, data profiling. We use Great Expectations and dbt tests to catch issues before they reach dashboards. You get Slack alerts when something's wrong, and dashboards showing data health metrics.
Yes. If you already have Snowflake, BigQuery, Redshift, or another warehouse, we build on top of it. We'll assess your current setup, recommend improvements, and integrate new pipelines alongside existing ones. We can also help migrate from one warehouse to another if needed. Our transformations are portable SQL/dbt, so you're not locked into any vendor.
We support multiple latency tiers. Batch (hourly/daily) for most analytics use cases, the simplest and cheapest option. Near real-time (5-15 minutes) using streaming ingestion and micro-batching. True real-time (seconds) using Kafka, change data capture (CDC), and streaming transformations. Most clients find that near real-time is sufficient. Only a few metrics truly need sub-minute latency. We'll help you determine what's actually needed vs. nice-to-have.
Security is built-in from day one. Infrastructure: Encryption at rest and in transit, VPC isolation, IAM roles with least privilege. Access Control: Role-based access, column-level security for PII, row-level security for multi-tenant data. Audit: Complete logging of who accessed what, data lineage for compliance. Compliance: SOC 2 aligned, HIPAA compliant deployments, GDPR-ready with data locality and deletion. We work within your security requirements and can deploy in your cloud account.
We build for minimal maintenance. Pipelines are self-healing with automatic retries. Schema drift detection catches source changes before they break things. Alerting notifies you only when human intervention is needed. Typical ongoing work: Adding new data sources (we document how, or you can engage us). Updating transformations when business logic changes. Responding to alerts (most are auto-resolved). Most clients manage this with existing team, or we offer retainer support ($5K-15K/month) for hands-off operation.
Complement Data Pipelines With:
Decision Intelligence & Analytics
Once your data is clean, build AI-powered analytics that answer questions in natural language.
Learn MoreCustom LLM Applications
Power RAG systems with clean, unified data for 90%+ accuracy on domain queries.
Learn MoreIntelligent Process Automation
Automate workflows with reliable data triggers and cross-system orchestration.
Learn MoreIndustry: AI in Supply Chain & Logistics
Where unified pipelines matter most: field operations at 2.5M+ consumer scale.
Learn MoreAI Integration Services
Connect AI to the systems your pipelines unify, from CRMs to legacy APIs.
Learn MoreReady to Transform Your Business with AI Solutions?
Schedule a free strategy call to discuss your project and get a custom AI implementation roadmap.
Or email us directly at hello@edgefirm.io. We typically respond within 2 hours during business days.