Your Data Pipelines Are Costing You More Than They Should
Fragile pipelines. Silent failures. Hours spent debugging. We build data infrastructure that runs reliably, scales automatically, and costs less to operate - so your team can focus on insights, not firefighting.
Sources
Databases, APIs, Files
Ingest
Kafka, Spark
Transform
dbt, Airflow
Store
Data Lake
Serve
BI, ML, APIs
Data Engineering Pain Points We Fix
If any of these keep you up at night, we should talk
"Our pipelines break every Monday morning"
Weekends bring schema changes, API rate limits, and surprise failures. You start each week firefighting instead of building. We create self-healing pipelines with proper monitoring and alerting.
"Nobody knows how this pipeline actually works"
The engineer who built it left. The code has no tests. Documentation doesn't exist. We untangle legacy systems and rebuild them with proper structure and documentation your team can maintain.
"Our data is always 24 hours behind"
Business wants real-time insights but your batch jobs run overnight. Stakeholders make decisions on stale data. We implement streaming architectures that deliver data in minutes, not hours.
"We're stuck with technology decisions from 5 years ago"
Legacy Informatica, on-prem Hadoop, custom scripts nobody understands. Modernization feels risky. We migrate you to modern stacks incrementally, without disrupting your operations.
Pipelines That Just Work
Production-ready data infrastructure. No black boxes.
ETL/ELT Development
Build efficient data pipelines that extract, transform, and load data from any source to any destination.
- Batch & real-time ETL
- Data validation & quality checks
- Incremental loading patterns
- Error handling & recovery
Real-Time Streaming
Process millions of events per second with our real-time data streaming solutions.
- Apache Kafka implementation
- Spark Streaming
- Event-driven architectures
- CDC (Change Data Capture)
Data Lake & Warehouse
Design and implement modern data lakehouse architectures for unified analytics.
- Delta Lake / Iceberg
- Data warehouse modeling
- Star & snowflake schemas
- Data vault architecture
Data Integration
Connect disparate systems and create unified data views across your organization.
- API integrations
- Database connectors
- SaaS data integration
- Master data management
Pipeline Orchestration
Automate and orchestrate complex data workflows with enterprise-grade reliability.
- Apache Airflow
- Dagster / Prefect
- Workflow scheduling
- Dependency management
Data Quality & Governance
Ensure data accuracy, consistency, and compliance across your data ecosystem.
- Data profiling & validation
- Data lineage tracking
- Metadata management
- Compliance automation
Tools We Work With
Deep expertise across the modern data engineering ecosystem
Data Processing
Streaming
Orchestration
Storage
How We Deliver
A proven methodology for successful data engineering projects
Discover
Understand your data landscape, sources, and requirements
Design
Architect scalable solutions aligned with your goals
Build
Develop robust pipelines with CI/CD and testing
Deploy
Launch to production with monitoring and alerts
Optimize
Continuously improve performance and efficiency
Why Companies Choose DaasLabs
See how we compare to your other options
vs. Big Consulting Firms
They charge $300/hour for junior consultants who've never shipped production code. We staff projects with senior engineers who've built pipelines processing billions of records.
vs. Staff Augmentation
Body shops give you warm bodies, not results. We own outcomes - if the pipeline isn't reliable, that's our problem to fix, not yours.
vs. Building In-House
Hiring takes 6 months. Learning the hard lessons takes years. We bring battle-tested patterns and train your team to take over - cutting your time-to-value by 70%.
Outcomes, Not Just Deliverables
Here's what our clients actually experience
Pipelines That Don't Wake You Up at 3 AM
Our pipelines include automatic retries, dead letter queues, and intelligent alerting. When something does fail, you get context, not just a stack trace.
Data You Can Actually Trust
Built-in data quality checks, schema validation, and lineage tracking. Know exactly where your data came from and when it last updated.
Code Your Team Can Actually Maintain
Clean, modular, tested code with documentation. No spaghetti. No magic. When we leave, your team can confidently make changes.
A Team That's Smarter After We Leave
We work alongside your engineers, explaining our decisions and teaching modern patterns. Your team levels up, not just your infrastructure.
Get a Free Pipeline Assessment
Not sure where to start? We'll review your current data architecture, identify the biggest pain points, and give you a clear roadmap - no obligation.