Case Studies
Impact delivered by top data talent
Discover how Opanin's vetted professionals have helped teams architect scalable data platforms, deploy machine learning models, and unlock actionable analytics.
Migrating to a Modern Data Stack with Zero Downtime
Client: Mid-Market E-commerce
The Challenge
The client's legacy on-premise data warehouse was buckling under increased transaction volume. Nightly ETL jobs frequently failed, leaving analysts with stale data the next morning.
The Solution
Opanin placed a senior cloud data engineer who architected a migration to Snowflake. They implemented dbt for transformation and Fivetran for ingestion, setting up automated CI/CD pipelines for data models.
Business Impact
- 80% reduction in query latency
- Nightly job failures eliminated
- Saved $120k/year in on-prem maintenance
Productionizing Fraud Detection Models
Client: Fintech Startup
The Challenge
The client's data science team had trained highly accurate fraud detection models in notebooks, but engineering lacked the specialized MLOps knowledge to deploy them securely at scale.
The Solution
We matched them with a specialized MLOps engineer who built an automated training and deployment pipeline using MLflow and Kubernetes, enabling real-time inference and model drift monitoring.
Business Impact
- Sub-100ms real-time transaction scoring
- Model deployment time cut from weeks to hours
- Caught $2M+ in fraudulent transactions in Q1
Rolling Out Self-Service Analytics for Enterprise Sales
Client: B2B SaaS Platform
The Challenge
The sales leadership team was waiting up to two weeks for custom reports. The core data team was completely bottlenecked by ad-hoc SQL requests.
The Solution
Opanin placed a senior BI Developer who built a governed semantic layer and self-service dashboards in Looker, training the sales ops team to generate their own insights safely.
Business Impact
- Reduced ad-hoc data requests by 75%
- Sales forecasting accuracy improved by 22%
- Data team capacity freed up for strategic work
Achieving SOC 2 Compliance Through Data Governance
Client: Health-Tech Company
The Challenge
To land enterprise hospital contracts, the client needed SOC 2 Type II certification, but their data access controls were loose and lacked proper audit trails.
The Solution
We provided a Data Security Engineer who implemented strict role-based access controls (RBAC), automated PII masking in non-prod environments, and comprehensive audit logging.
Business Impact
- Passed SOC 2 Type II audit with zero exceptions
- Unlocked $5M in enterprise pipeline
- Automated compliance reporting
Building Real-Time Streaming for Ad-Tech
Client: Advertising Network
The Challenge
The client needed to process bid requests and calculate attribution in real-time, but their batch-oriented architecture couldn't handle the latency requirements.
The Solution
Opanin placed a Big Data specialist who architected a robust streaming pipeline using Apache Kafka and Flink, capable of processing millions of events per second with exactly-once semantics.
Business Impact
- Sub-second attribution reporting
- Handled 3x traffic spikes without dropping data
- Increased ad inventory yield by 15%
Cost Optimization for a Runaway Cloud Bill
Client: Consumer Mobile App
The Challenge
As the app scaled to millions of users, their AWS data infrastructure costs spiraled out of control, threatening the company's runway.
The Solution
We matched them with a Cloud Data Architect experienced in FinOps. They redesigned the data lake storage tiers, optimized Spark compute clusters, and implemented strict resource tagging.
Business Impact
- Reduced monthly cloud data spend by 45%
- Implemented automated cost alerting
- Established FinOps culture across engineering