DataOps That Catches Issues Before Reports Break
Create automated data workflows with quality gates and monitoring that alert your team before reports show wrong numbers.
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Trusted and top rated tech team
Data pipelines that don't fail silently
Bad data reaches reports because pipelines break without alerting anyone. Quality degrades upstream, transformations fail quietly, and teams discover problems when stakeholders ask why the numbers look wrong. We build data workflows with automated testing, monitoring, and observability that surface issues before they impact decisions.
Our capabilities include:
- Data pipeline orchestration and automation
- Data quality testing and validation
- Pipeline monitoring and observability
- Data versioning and lineage tracking
- Environment management and CI/CD for data
- Data catalog and governance implementation
Our DataOps services
Curotec’s DataOps team helps organizations automate data pipelines and quality monitoring without manual bottlenecks. We create observable workflows with automated testing, orchestration, and lineage tracking tailored to your data infrastructure.
Data Pipeline Orchestration
We build automated workflows to schedule, execute, and monitor your data pipelines from end to end. With built-in dependency management, retry logic, and alerting, your team can catch failures before they affect downstream reports.
Data Quality Testing & Validation
Data pipelines fail when bad data passes through unchecked. Our engineers implement automated quality gates that validate schema, check for anomalies, and enforce business rules at every stage. This catches issues at the source rather than in stakeholder reports.
Pipeline Observability & Monitoring
Your team needs visibility into pipeline health and data quality metrics. We implement monitoring dashboards, alerting systems, and logging that track execution times, row counts, and quality scores so problems surface immediately.
Data Lineage & Version Control
Tracing bad data to its source requires complete lineage. We implement tracking that maps data flow from ingestion through transformation to output, with version control for schemas and configurations that enables rollback when issues occur.
Environment Management & CI/CD
Inconsistencies between dev, test, and production cause deployment failures. We build CI/CD pipelines for your data workflows with automated testing, environment parity, and promotion processes that prevent production surprises.
Data Catalog & Governance
Your analysts need to discover and understand available data assets. We implement catalogs with metadata management, documentation, and access controls that enable self-service analytics while maintaining governance standards.
Ways to engage
We offer a wide range of engagement models to meet our clients’ needs. From hourly consultation to fully managed solutions, our engagement models are designed to be flexible and customizable.
Staff Augmentation
Get access to on-demand product and engineering team talent that gives your company the flexibility to scale up and down as business needs ebb and flow.
Retainer Services
Retainers are perfect for companies that have a fully built product in maintenance mode. We'll give you peace of mind by keeping your software running, secure, and up to date.
Project Engagement
Project-based contracts that can range from small-scale audit and strategy sessions to more intricate replatforming or build from scratch initiatives.
We'll spec out a custom engagement model for you
Invested in creating success and defining new standards
Why choose Curotec for DataOps?
Data teams struggle when pipelines sprawl across fragmented tools with no unified visibility. We integrate your existing stack—Airflow, dbt, Snowflake, or whatever you’re running—into cohesive workflows with consistent testing and monitoring. You keep your tools but gain the observability and reliability they lack out of the box.
1
Extraordinary people, exceptional outcomes
Our outstanding team represents our greatest asset. With business acumen, we translate objectives into solutions. Intellectual agility drives efficient software development problem-solving. Superior communication ensures seamless teamwork integration.
2
Deep technical expertise
We don’t claim to be experts in every framework and language. Instead, we focus on the tech ecosystems in which we excel, selecting engagements that align with our competencies for optimal results. Moreover, we offer pre-developed components and scaffolding to save you time and money.
3
Balancing innovation with practicality
We stay ahead of industry trends and innovations, avoiding the hype of every new technology fad. Focusing on innovations with real commercial potential, we guide you through the ever-changing tech landscape, helping you embrace proven technologies and cutting-edge advancements.
4
Flexibility in our approach
We offer a range of flexible working arrangements to meet your specific needs. Whether you prefer our end-to-end project delivery, embedding our experts within your teams, or consulting and retainer options, we have a solution designed to suit you.
Benefits of DataOps implementation
Catch issues before stakeholders notice
Automated quality gates test data at every pipeline stage. Your team gets alerts when validation fails, schema changes unexpectedly, or row counts fall outside normal ranges—before bad data reaches reports.
Reduce pipeline firefighting
Observable workflows surface failures immediately with context. When something breaks, your team sees exactly which step failed, what data was affected, and where to start troubleshooting instead of hunting through logs.
Trace bad data to its source
Complete lineage tracking maps data from ingestion through transformation to output. When numbers look wrong, you can trace backward through every step to find where the problem originated.
Deploy data changes with confidence
CI/CD for data pipelines includes automated testing in staging before production promotion. Schema changes, transformation updates, and new sources go through validation gates that prevent deployment surprises.
Enable self-service analytics
Data catalogs with documentation and metadata let analysts discover and understand available data assets without pinging your data team for every question.
Meet compliance without scrambling
Automated access controls, audit trails, and data classification track who accessed what and when. Compliance evidence generates continuously rather than requiring manual collection before audits.
Scale without adding headcount
Orchestration handles growing data volumes and pipeline complexity without proportional team growth. Your data engineers focus on new capabilities rather than babysitting existing workflows.
FAQs about DataOps implementation
How long does DataOps implementation take?
Basic pipeline orchestration and monitoring deploy in 6-8 weeks. Comprehensive implementations with quality testing, lineage tracking, and CI/CD for data take 12-16 weeks depending on pipeline complexity and existing infrastructure.
Can you work with our existing data tools?
Yes, we integrate with your current stack—whether that’s Airflow, dbt, Snowflake, Databricks, or other platforms. We build observability and quality testing around your existing pipelines rather than requiring tool replacement.
How do you handle data quality testing?
We implement automated validation at each pipeline stage using tools like Great Expectations. Tests check schema consistency, data types, null rates, value ranges, and business rules so issues surface at the source.
What's the difference between DataOps and MLOps?
DataOps focuses on reliable data pipelines and quality for analytics. MLOps focuses on deploying and monitoring machine learning models in production. DataOps is often a prerequisite—bad data pipelines mean bad ML models.
Do we need a dedicated DataOps team?
Not necessarily. We implement automation and observability that reduces manual work, then train your data engineers on maintaining the workflows. Many teams manage DataOps practices without dedicated headcount.
Do you provide ongoing support?
Yes, we offer retainer support for pipeline optimization, new source integration, and troubleshooting. Our teams stay familiar with your data infrastructure for rapid response when alerts indicate issues.
Ready to have a conversation?
We’re here to discuss how we can partner, sharing our knowledge and experience for your product development needs. Get started driving your business forward.
