19 Projects. Real Numbers. No Fluff.
Every one of these started with a phone call from someone who was frustrated. Here are 19 projects, what we built, and what actually changed.
Online Retail · 500+ Employees
10 Weeks
E-Commerce Data Warehouse Migration to Snowflake
Challenge
4 hours - that's how long their SQL Server warehouse took to generate a single report. Every Black Friday, the whole thing buckled - queries ground to a halt right when leadership needed numbers most. The data team spent 60% of their time patching infrastructure instead of doing actual analysis.
Solution
We moved everything to Snowflake with multi-cluster auto-scaling - so Black Friday traffic just gets more compute, not more headaches. Built new Talend pipelines from scratch to sync inventory across 3 distribution centers in near-real-time. Replaced the mess of spreadsheets with Power BI dashboards that merchandising and supply chain teams actually use every morning.
Results
94%
Faster query performance
4hrs → 12min
Report generation time
$180K/yr
Infrastructure cost savings
Zero
Downtime during peak sales
Snowflake
Talend
Power BI
SQL Server
FinTech · Series B · 80 Employees
14 Weeks
Centralized Data Lake for a FinTech Compliance Team
Challenge
6 systems - payment processor, CRM, fraud tool, 2 internal databases, and a legacy accounting platform nobody wanted to touch. The compliance team spent 2 full weeks every quarter copying data between systems to assemble regulatory reports. Every audit, someone found a discrepancy nobody could explain.
Solution
We pulled all 6 sources into one Azure Data Lake, piped everything through Azure Data Factory into a clean Snowflake layer. Added row-level security and dynamic data masking so analysts could query freely without ever seeing raw PII. Gave leadership Power BI dashboards showing transaction volumes, compliance status, and fraud signals - updated in real time, not 2 weeks later.
Results
2wks → 2d
Regulatory report turnaround
100%
Audit compliance maintained
12M+
Transactions in single source
30%
Reduced data team headcount needs
Snowflake
Azure Data Lake
Azure Data Factory
Power BI
Automotive Parts Mfg · 1,200 Employees
12 Weeks
IoT Analytics Platform for Predictive Quality Control
Challenge
50GB of sensor data generated every day. None of it analyzed. Defective parts caught at end-of-line inspection - sometimes after thousands of bad units were already sitting on pallets. Maintenance was entirely reactive: a machine broke, production stopped, everyone scrambled. The data to predict failures was literally right there. Nobody was reading it.
Solution
We piped raw sensor streams from 14 sensor types across 3 production lines into Snowflake through Hevo. Trained Snowflake Cortex ML models on 2 years of historical defect data so the system flags anomalies before bad parts ever reach inspection. Put real-time dashboards on tablets on the shop floor - shift managers set their own alert thresholds and get notified the moment something looks off.
Results
35%
Reduction in defect rates
$420K/yr
Saved in unplanned downtime
<30sec
Alert-to-tablet delivery time
0% → 100%
Of 50GB/day sensor data analyzed
Snowflake
Snowflake Cortex
Hevo
Custom Dashboards
Healthcare Provider · 3,000+ Employees
16 Weeks
Data Governance & HIPAA Compliance for Multi-Location Provider
Challenge
8 EMR systems, zero unified view. HIPAA auditors had already flagged access control gaps. Researchers who needed de-identified patient data for studies? 6-week wait, minimum. IT had to manually scrub and export every dataset by hand. Important studies were stalled because the data pipeline was a person with a spreadsheet.
Solution
Stood up Snowflake behind Azure PrivateLink - nothing touches the public internet. Built an automated governance framework that detects and masks PII using tag-based policies, so sensitive fields are protected without anyone having to remember to do it. Researchers now pull de-identified datasets through Snowflake's secure data sharing. No raw patient records exposed, no 6-week wait.
Results
Zero
HIPAA audit findings
6wks → 48hrs
Research data access time
8 → 1
EMR systems unified into one view
15
New research studies in Q1
Snowflake
Azure PrivateLink
Data Governance
Snowflake Data Sharing
Online Retail · 350 Employees
8 Weeks
Challenge
Nightly batch jobs took 6+ hours, morning stock levels always stale. Overstock costing $280K/month in warehousing fees.
Results
$2.3M/yr
Cost savings
6hrs → 18min
Batch processing time
97%
Forecast accuracy
40%
Fewer out-of-stocks
Snowflake
Talend
Power BI
Python/Snowpark
Banking · 1,800 Employees
14 Weeks
Challenge
Fraud detection relied on yesterday's data. Monthly reconciliation took 2 analysts 8 full days. 23 SOX findings.
Results
48hrs → 90sec
Fraud detection speed
67%
Fraud loss reduction
8d → 4hrs
Reconciliation time
Zero
SOX findings
Talend CDC
Snowflake Streams/Tasks
dbt
Oracle
SaaS · Series A · 45 Employees
6 Weeks
Challenge
CEO's weekly metrics email assembled manually, wrong 30% of the time. Nobody agreed on churn definition.
Results
5
Sources unified
Automated
Monday email
6 Weeks
$0 to self-serve
100%
Metric agreement
Hevo Data
Snowflake
dbt
Metabase
Healthcare Insurance · 2,400 Employees
11 Weeks
Challenge
180K claims/month through mainframe batch system. 14-day adjudication average. Providers threatening to drop network.
Results
14 → 3.8 days
Processing time
73%
Faster adjudication
Real-time
Queue visibility
$1.6M
Provider retention
Azure Data Factory
Snowflake
dbt
Power BI
DB2
Steel Manufacturing · 3,200 Employees
16 Weeks
Challenge
847 sensors, 2TB/day, none analyzed. Equipment failures only detected when something physically broke. $180K average per incident.
Results
$3.1M/yr
Saved in downtime
4-72hr
Advance warning
847
Sensors unified
90% → 35%
Reactive maintenance
AWS IoT Core
Kinesis
S3
Databricks
Delta Lake
P&C Insurance · 900 Employees
18 Weeks
Challenge
Underwriting took 5-7 business days. Loss ratio trending up 2.3%/year. Actuarial models deployed via emailed Excel files.
Results
5-7d → 4hrs
Underwriting time
3.2%
Loss ratio improvement
Hours
Model deploy (was 6 weeks)
40
Data points auto-populated
Databricks
MLflow
Python
R
Guidewire
Ad Technology · 200 Employees
10 Weeks
Challenge
8B impression events/day, $47K/month Redshift cluster. Analytics queries locked up cluster for 20+ minutes.
Results
$47K → $19K
Monthly cost
Zero
Query contention
<3min
8B events/day latency
20min → 45sec
Query time
Snowflake
Snowpipe
AWS Kinesis
S3
SaaS Finance · 600 Employees
9 Weeks
Challenge
47 different Excel models for revenue recognition. Month-end close took 12 days. Three different ARR numbers.
Results
12 → 3.5 days
Month-end close
One
ARR number
280+
Automated tests
Best
Data auditors had seen
Snowflake
dbt
Hevo
Salesforce
Stripe
NetSuite
Third-Party Logistics · 4,500 Employees
22 Weeks
Challenge
SAP ECC 6.0 with 230 custom ABAP programs. Running analytics against SAP locked production tables for 45 minutes.
Results
Real-time
Visibility across 6 DCs
12%
Warehouse utilization gain
Zero
SAP impact
230
ABAP programs untouched
Talend (SAP RFC/BAPI)
Snowflake
Tableau
SAP ECC
State Transportation Agency · 1,100 Employees
13 Weeks
Challenge
14 databases including Oracle, SQL Server, Access, and flat files. FOIA requests took 3-6 weeks.
Results
3-6wks → 48hrs
FOIA response time
14
Databases unified
200+
Public API users
Resolved
Audit deficiency
Azure Synapse
Azure Data Factory
Azure API Management
Power BI
D2C E-Commerce · 120 Employees
7 Weeks
Challenge
Redshift cluster needed constant VACUUM, choked on weekend spikes. 2-person data team spent 40% on cluster management.
Results
40% → 5%
Infrastructure time
Zero
Weekend degradation
7 Weeks
Full migration
$8K/mo
Cost savings
Snowflake
dbt
S3
Fivetran
Looker
Streaming Platform · 280 Employees
14 Weeks
Challenge
Recommendations updated every 6 hours. User behavior data across Kafka, PostgreSQL, Jupyter notebooks.
Results
6hrs → <5min
Recommendation latency
23%
Longer sessions
3d → 4hrs
Model retraining
50M+
Predictions/day
Databricks
Kafka
Delta Lake
PostgreSQL
MLflow
Digital Marketing Agency · 85 Employees
4 Weeks
Challenge
23 clients across 5 ad platforms. Monday reporting took 16 hours/week of manual CSV pulling. Attribution was last-click only.
Results
16hrs → 0
Manual reporting/week
First
Multi-touch attribution
18%
Better ROAS
72% → 91%
Client retention
Hevo Data
Snowflake
Python/Snowpark
Looker Studio
Telecommunications · 6,000 Employees
12 Weeks
Challenge
2.1B CDRs/month on flat files. Teradata hitting license capacity at $3.2M/year. Reports took 4+ hours.
Results
$3.2M → $480K
Annual cost
4hrs → 90sec
Report time
2.1B
CDRs/month processed
47
Reports migrated
Snowflake
dbt
Talend
Power BI
Pharmaceutical · 1,500 Employees
10 Weeks
Challenge
200+ Excel workbooks emailed monthly. 30% of meeting time debating which numbers were correct. FDA audit prep took 3 weeks.
Results
200 → 12
Workbooks to dashboards
3wks → 2d
FDA audit prep
Single
Source of truth
30%
Less meeting time
Snowflake
Azure Data Factory
Hevo
Power BI
Oracle
SAP
