Service
Data, Integrations & Systems
Connect Everything. Understand Anything. Decide with Confidence.
Operations teams spending hours every week on manual data exports and reportingFinance and leadership teams who can't trust the accuracy of their current dataE-commerce businesses needing unified customer and revenue data across platforms
Service overview
Your Data is Your Most Valuable Asset — Start Using It Most growing businesses are sitting on a goldmine of data locked inside disconnected tools — a CRM here, a database there, spreadsheets everywhere. We build the integration layer and data infrastructure that unifies your systems, automates data flows, and surfaces the insights your leadership team needs to make faster, smarter decisions. From ETL pipelines to real-time dashboards, we turn your data chaos into a strategic advantage.
Who it is for
Operations teams spending hours every week on manual data exports and reporting
Business value
Custom integration architecture connecting your core business tools
Typical use cases
- Operations teams spending hours every week on manual data exports and reporting
- Finance and leadership teams who can't trust the accuracy of their current data
- E-commerce businesses needing unified customer and revenue data across platforms
- SaaS companies wanting product usage analytics and cohort dashboards
- Enterprises running digital transformation and legacy system modernization
- Data teams that need additional engineering capacity and architecture expertise
Key features
What is included when you engage Devskrew for data, integrations & systems.
transformation
and loading
data warehouse design — snowflake
bigquery
redshift
or databricks architecture
api integrations — custom connectors for any tool with a rest
graphql
or webhooks api
ipaas & no-code integrations — zapier
make
n8n
and mulesoft for rapid connections
business intelligence dashboards — looker studio
metabase
tableau
or custom react bi
real-time streaming — kafka
aws kinesis
and pub/sub for event-driven architectures
data quality & governance — dbt
great expectations
lineage tracking
and alerting
crm & erp integrations — salesforce
hubspot
sap
netsuite
and custom erp systems
Development process
- 01
Data Audit & Architecture Design
We audit your current tools, data flows, and reporting gaps — then design an integration and data architecture blueprint aligned to your business intelligence goals.
- 02
Integration Build & Pipeline Development
We build custom integrations, ETL pipelines, and data transformation logic — connecting your tools and routing data to a centralized warehouse.
- 03
Dashboard & Reporting Layer
We design and build BI dashboards with your key metrics, filters, and drill-down capabilities — making data accessible to every stakeholder.
- 04
Testing, Monitoring & Handover
We validate data accuracy, set up pipeline monitoring and alerting, and train your team on the new data infrastructure with full documentation.
Technologies used
Tools and platforms we commonly apply for this service. Final stack depends on your constraints and team.
pythonpostgresqllooker studiohubspotrest apisgraphqldbtapache airflowprefectsnowflakebigqueryredshiftdatabrickskafkaaws kinesisfivetranairbyten8nmakezapiermetabasetableaupower bisalesforcenetsuite
Industries served
- Operations teams spending hours every week on manual data exports and reporting
- Finance and leadership teams who can't trust the accuracy of their current data
- E-commerce businesses needing unified customer and revenue data across platforms
- SaaS companies wanting product usage analytics and cohort dashboards
- Enterprises running digital transformation and legacy system modernization
Why choose Devskrew
eliminate manual reporting and free hours every week for strategic work
make decisions based on real-time
accurate data — not stale exports
break down data silos to get a unified view of customers
Related services
Frequently asked questions
We start with a data audit. We map every tool you use, the data it holds, and how it currently flows (or doesn't) between systems. This gives us a clear picture to build from.
Often yes — we use browser automation, file-based integrations (CSV, SFTP), database-level connections, and webhooks to connect tools that lack native APIs.
We implement automated data quality checks, reconciliation logic, and alerting systems that flag anomalies in real time — so issues are caught before they affect decisions.
Absolutely. We use encrypted connections, secrets management, least-privilege access controls, and follow your compliance requirements (GDPR, HIPAA, SOC2) throughout.
A focused integration project takes 2–4 weeks. A full data warehouse and BI dashboard typically takes 8–14 weeks depending on the number of data sources and reporting complexity.
Next step
Ready to explore data, integrations & systems?
Tell us about your goals and timeline. We will respond with a clear view of fit, scope, and next steps.