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Data Engineering Services
Turn Data Chaos into Clear Business Insights—Faster
Frustrated with slow, unreliable, or siloed data? If your teams waste time manually compiling reports, struggle with inconsistent numbers, or can’t access the insights they need, we can help. Chipsy builds scalable data pipelines and analytics systems so you can make decisions with confidence—no more guesswork or spreadsheet nightmares.
Data Problems We Solve
"Our reports are always outdated or wrong."
We automate data flows so your dashboards update in real time, with built-in error alerts.
"We’re drowning in spreadsheets and manual work."
We replace manual processes with self-service analytics, so teams get answers without IT bottlenecks.
"Our data is stuck in 10 different systems."
We unify data from CRM, ERP, marketing tools, and more into a single source of truth.
"We need AI/ML but our data isn’t ready."
We structure and clean your data so it’s AI-ready—without costly rework.
How We Help
Data Warehousing & Lakes
Your Foundation for Analytics
"Where should we even store all this data—and how do we make it useful?"
Many businesses struggle with data scattered across outdated systems or costly, inflexible warehouses. We design modern cloud data platforms (like Snowflake or DataBricks) that scale with your needs, so you can:
- Stop overpaying for slow, legacy systems.
- Break down silos by unifying CRM, ERP, and marketing data in one place.
- Get faster insights with optimized queries (no more waiting hours for reports).
Example: A retailer can migrate from an on-premise warehouse to Snowflake, cutting costs while speeding up analytics —helping their merchandising team spot trends in days, not weeks.
Automated Data Pipelines
No More Manual Work
"How do we get data from all our apps into one place—without errors or IT headaches?"
Manually stitching together spreadsheets or fixing broken data feeds burns time and breeds mistakes. We build “set-and-forget” pipelines that:
- Pull data automatically from CRM, ecommerce, and financial applications
- Self-heal when issues arise (e.g., missed API calls or format changes).
- Alert your team only when human judgment is needed.
Example: A logistics company can automate their daily freight reconciliation—replacing hours of manual work per week and eliminating billing errors.
AI/ML & Predictive Analytics
No More Manual Work
"Can we actually use this data to predict trends or personalize experiences?"
Raw data alone won’t drive AI success. We structure and enrich your data to unlock:
- Forecasting, for example demand, inventory, or churn risk
- Recommendation engines for example, “customers who bought X also bought Y”
- Embedded insights in tools your teams already use.
Example: A healthcare provider could clean EHR data to predict patient no-shows with much greater accuracy—freeing up appointment slots.
Data Warehousing & Lakes
Automated Data Pipelines
AI/ML & Predictive Analytics
Data Warehousing & Lakes
Your Foundation for Analytics
“Where should we even store all this data—and how do we make it useful?”
Many businesses struggle with data scattered across outdated systems or costly, inflexible warehouses. We design modern cloud data platforms (like Snowflake or DataBricks) that scale with your needs, so you can:
- Stop overpaying for slow, legacy systems.
- Break down silos by unifying CRM, ERP, and marketing data in one place.
- Get faster insights with optimized queries (no more waiting hours for reports).
Example: A retailer can migrate from an on-premise warehouse to Snowflake, cutting costs while speeding up analytics —helping their merchandising team spot trends in days, not weeks.
Automated Data Pipelines
No More Manual Work
“How do we get data from all our apps into one place—without errors or IT headaches?”
Manually stitching together spreadsheets or fixing broken data feeds burns time and breeds mistakes. We build “set-and-forget” pipelines that:
- Pull data automatically from CRM, ecommerce, and financial applications
- Self-heal when issues arise (e.g., missed API calls or format changes).
- Alert your team only when human judgment is needed.
Example: A logistics company can automate their daily freight reconciliation—replacing hours of manual work per week and eliminating billing errors.
AI/ML & Predictive Analytics
No More Manual Work
“Can we actually use this data to predict trends or personalize experiences?”
Raw data alone won’t drive AI success. We structure and enrich your data to unlock:
- Forecasting, for example demand, inventory, or churn risk
- Recommendation engines for example, “customers who bought X also bought Y”
- Embedded insights in tools your teams already use.
Example: A healthcare provider could clean EHR data to predict patient no-shows with much greater accuracy—freeing up appointment slots.
Why Choose Chipsy.io
- We focus on outcomes, not just tech. Every solution ties to cost savings, revenue, or risk reduction.
- No lock-in: We use open standards so you own your data.
- Done-for-you delivery: We handle the build, training, and support—you get results.
- Enterprise-ready: Compliance with HIPAA, GDPR, and SOC 2.
Next Steps
How much could you save with better data pipelines? – Talk to us to get a workflow audit. (get in touch)
Want to explore AI/ML but don’t have clean data? – Talk to our data engineers. (get in touch)