Data engineering
Bad data costs more than no data. We build pipelines, warehouses, and analytics infrastructure for organizations that make decisions based on what the numbers say.
What we can build for you
Moving data from A to B sounds simple. It’s not. Sources change formats without warning. Upstream systems go down at 2 AM. A vendor “updates” their API and breaks your integration. One malformed record corrupts a downstream report that executives read every Monday.
We build pipelines that handle the mess. Schema validation. Dead letter queues for bad records. Automatic retries with exponential backoff. Monitoring that tells you what broke and where before anyone notices the dashboard is stale.
Batch or streaming, cloud or on-prem – the pipelines we build run reliably without anyone thinking about them.
Your analysts shouldn’t wait 20 minutes for a query to finish. And your finance team shouldn’t maintain their own Excel files because the official reports don’t have what they need.
We design warehouses that answer the questions people actually ask. Dimensional models that make sense to business users. Incremental loads that keep data fresh without rebuilding everything nightly. Query performance tuned for your actual access patterns, not theoretical benchmarks.
Some data can’t wait for a nightly batch job. Fraud detection, real-time pricing, or inventory updates: when minutes matter, you need systems that process events as they happen.
We build streaming infrastructure that handles bursts without falling over. Kafka, Kinesis, Pulsar for ingestion. Flink, Spark Streaming, or custom consumers for processing. State management that survives restarts. Exactly-once semantics where it matters.
Your data lives in multiple different systems. CRM, ERP, payment processor, three SaaS tools, two legacy databases, and a vendor that only exports CSV. Getting a single view of anything means pulling from all of them.
We build integrations that sync data reliably across systems. CDC from operational databases. API connectors that handle rate limits and pagination. File ingestion that deals with inconsistent formats. Master data management when the same customer exists in five systems with five different IDs.
No magical “single source of truth” promises. Just working integrations that keep your data reliable and consistent to be useful.
Tech stack
Languages, frameworks, and infrastructure our engineers use daily to build and maintain systems in production.
Languages
Pipeline and orchestration
Stream processing
Batch processing
Data warehouses
Data lakes and storage
Databases
Data quality and observability
BI and visualization
Infrastructure
Use cases we support
Data problems clients bring to us when spreadsheets and manual processes stop scaling.
Analytics infrastructure for BI and reporting
Data lake architecture and governance
Cross-system data synchronization
Operational data stores for real-time applications
Migration from legacy ETL to modern pipelines
Regulatory reporting automation
Success stories
From startups to global enterprises, teams count on us for growth that works
We helped our client build a frontend team from scratch, establish development processes that actually work, and ship a redesigned B2B platform while clearing years of technical debt.
We helped our client cut manual labor by automating their waste material identification and classification process using a custom AI-powered computer vision system.
What we’ve shipped for teams like yours and the results they achieved
View case studies
“Softeta has been a strategic technology partner for PortalPro, supporting us across both front-end and back-end development, IT architecture, and quality assurance. Their integrated approach has significantly accelerated our project launch. We continue to rely on their expertise as we scale and evolve our platform.”
Paulius Jurinas
CEO @ PortalPRO
Ways we collaborate with you
A transparent, flexible approach designed around your goals.
Team augmentation
Extra talent that boosts your projects. Our experienced engineers integrate directly with your in-house team, bringing flexibility, technical depth, and fast scaling capacity. All without the overhead of hiring.
Building a dedicated team
A fully autonomous team focused on delivery from day one. We assemble a cross-functional group of experts to match your project goals, work within your roadmap, and take full responsibility for execution and outcomes.
Developing a project, subproject, component
We take full responsibility for delivering a clearly scoped system, module, or feature – from architecture to deployment. We handle design, development, testing, and ensure long-term maintainability.
Frequently asked questions
Learn more about our system modernization and optimization services
How do you handle data quality issues?
At the source when possible, during ingestion when necessary. We build validation into pipelines: schema checks, null handling, deduplication, anomaly detection. Bad records get quarantined and logged, not silently dropped or passed through to break downstream reports.
Can you work with our existing data infrastructure?
Yes. Most clients aren’t starting from zero. We integrate with existing warehouses, extend current pipelines, and migrate workloads incrementally. No “rip and replace everything” proposals.
What if our data sources are messy or undocumented?
That’s normal. We start with discovery: profile what exists, document what we find, identify gaps. Messy sources don’t go away, but we can build pipelines that handle the mess reliably.
Do you build dashboards and reports too?
When needed. We work with Metabase, Looker, Tableau, Power BI – whatever your team uses. But we focus on the infrastructure underneath. If you have analysts who build their own dashboards, we make sure they have clean, fast, reliable data to work with.
How do you handle sensitive data and compliance?
Carefully. We implement column-level encryption, masking, row-level security, and audit logging based on your regulatory requirements. GDPR, SOC 2, industry-specific rule. We’ve built compliant pipelines before and know what auditors look for.
What's the difference between hiring you vs. using a managed ETL tool?
Managed tools work great until they don’t. When your use case doesn’t fit the template, when performance degrades, when you need custom logic, you’re stuck. We build infrastructure you control, using tools you can extend, with logic you can modify when requirements change.
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