ETL Platforms Built For Processing Volume
Handle millions of data records, real-time transformations, and multi-source integrations without pipeline failures.
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Trusted and top rated tech team
Enterprise data pipeline infrastructure
Growing information volumes demand ETL infrastructure that won’t collapse under processing pressure. We develop systems that extract from diverse sources, transform according to business logic, and load into target warehouses without missing SLA windows. Our engineers partner with CTOs building analytics platforms that must scale with growth while delivering reliable, timely insights.
Our capabilities include:
- Multi-source integration architecture
- Real-time transformation orchestration
- Enterprise warehouse optimization
- Automated quality assurance
- Scalable batch and streaming processing
- High-performance loading infrastructure
Who we support
Our ETL expertise serves analytics-driven organizations facing distinct challenges as they expand their processing capabilities and reporting requirements.
SaaS Platforms
Your application generates large activity logs, transaction records, and behavioral information for analytics dashboards. Current ETL jobs fail during peak usage, causing reporting gaps that affect business decisions and customer insights.
Financial Services
You handle customer transactions, market information, and compliance reports with strict accuracy and timing requirements. Legacy integration approaches can't support real-time risk calculations or meet reporting deadlines without manual effort.
Manufacturing Companies
Your facilities produce sensor information, production metrics, and quality measurements that need consolidation for operational insights. Current methods often fail to handle the variety of formats and the volume of time-series information.
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 ETL development?
Our engineers eliminate vendor ramp-up time. We’ve built pipelines handling terabytes daily and understand enterprise warehouse requirements. With ETL expertise and proven infrastructure patterns, we deliver projects faster with clearer technical communication about your processing needs.
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.
Advanced ETL infrastructure
Multi-Source Extraction
Real-Time Transformation Engine
Quality Validation
Incremental Loading Optimization
Pipeline Monitoring & Alerting
Enterprise Data Warehouse Integration
ETL development tools & technologies
Data Extraction & Integration Platforms
We implement extraction tools for databases, APIs, and file systems using enterprise-grade connectors and scheduling frameworks.
- Apache NiFi & Talend — Visual flow platforms for building extraction pipelines with drag-and-drop interfaces, scheduling, and monitoring capabilities
- Informatica PowerCenter & SSIS — Enterprise ETL platforms with pre-built connectors for databases, applications, and cloud services with metadata management
- Apache Kafka & Confluent — Streaming ingestion platforms for real-time extraction from multiple sources with guaranteed delivery and fault tolerance
- Fivetran & Stitch — Cloud-native extraction services with automated connectors for SaaS applications, databases, and APIs with change capture
- AWS Glue & Azure Factory — Serverless ETL services for cloud extraction with built-in scheduling, error handling, and auto-scaling capabilities
- Airbyte & Singer Taps — Open-source integration tools with extensive connector libraries for databases, APIs, and file systems with custom transformation support
Transformation & Processing Engines
Curotec builds data transformation workflows using distributed processing frameworks that handle complex business logic at scale.
- Apache Spark & Databricks — Distributed processing engines for large-scale transformations with in-memory computing, SQL support, and machine learning integration
- dbt & Dataform — SQL-based transformation frameworks for warehouses with version control, testing, and documentation capabilities
- Apache Beam & Google Dataflow — Unified programming model for batch and stream processing with automatic scaling and fault tolerance
- Hadoop MapReduce & YARN — Big processing framework for complex transformations across distributed clusters with resource management and job scheduling
- Snowflake & BigQuery SQL — Cloud warehouse native transformation engines with columnar storage optimization and automatic query optimization
- Python Pandas & NumPy — Manipulation libraries for custom transformation logic with statistical functions, cleansing, and analytical processing capabilities
Data Quality & Validation Tools
Our teams deploy automated profiling, cleansing, and validation systems that ensure accuracy throughout ETL operations.
- Great Expectations & Deequ — Validation frameworks for automated testing, profiling, and quality monitoring with customizable rules and anomaly detection
- Talend Quality & Informatica DQ — Enterprise cleansing platforms with address standardization, deduplication, and reference management capabilities
- OpenRefine & Trifacta Wrangler — Interactive preparation tools for cleaning messy datasets with pattern recognition and transformation suggestions
- Apache Griffin & DataCleaner — Open-source quality platforms for profiling, validation, and monitoring with real-time quality metrics and reporting
- AWS Glue DataBrew & Azure Prep — Cloud-native preparation services with visual profiling, automated cleansing recommendations, and quality scoring
- Pandas Profiling & ydata-profiling — Python libraries for automated profiling with statistical analysis, missing value detection, and quality reports
Workflow Orchestration & Scheduling
We manage ETL job dependencies, error handling, and automated retries using enterprise workflow management platforms.
- Apache Airflow & Prefect — Python-based workflow orchestration platforms with DAG management, task dependencies, and automated retry mechanisms for complex ETL pipelines
- Luigi & Dagster — Pipeline orchestration frameworks with dependency resolution, error handling, and lineage tracking for reliable batch processing workflows
- Azure Factory & AWS Step Functions — Cloud-native orchestration services with visual pipeline designers, conditional logic, and integrated monitoring for serverless workflows
- Kubernetes Jobs & Argo Workflows — Container-based job scheduling with resource management, parallel execution, and fault tolerance for scalable ETL operations
- Apache Oozie & Azkaban — Hadoop ecosystem workflow schedulers with time-based triggers, dependency management, and integration with big processing frameworks
- Control-M & Autosys — Enterprise job scheduling platforms with SLA monitoring, cross-platform support, and integration with legacy systems and applications
Cloud Warehouse Connectors
Curotec integrates with modern warehouses and lakes through optimized loading tools and change capture systems.
- Snowflake SnowPipe & Snowpark — Real-time loading with micro-batch ingestion, automatic scaling, and native transformation capabilities for cloud warehouse optimization
- Amazon Redshift COPY & Spectrum — High-performance bulk loading with parallel processing, compression optimization, and external table queries for lake integration
- Google BigQuery Storage API & Transfer Service — Streaming and batch ingestion with automatic partitioning, clustering, and integration with Google Cloud ecosystem
- Databricks Delta Lake & Unity Catalog — ACID transaction support for lakes with versioning, time travel, and unified governance across batch and streaming workloads
- Apache Iceberg & Hudi — Open table formats for lakes with schema evolution, partition management, and incremental processing capabilities
- Debezium & Maxwell — Change capture platforms for real-time replication from operational databases to analytical systems with low-latency streaming
Monitoring & Performance Analytics
We implement observability, lineage tracking, and performance monitoring tools for operational visibility and troubleshooting.
- Apache Atlas & DataHub — Lineage and catalog platforms for tracking information movement, transformation history, and impact analysis across ETL pipelines
- Prometheus & Grafana — Time-series monitoring with custom dashboards for ETL job performance, resource utilization, and SLA tracking with automated alerting
- Datadog & New Relic — Application performance monitoring for ETL infrastructure with distributed tracing, log aggregation, and anomaly detection capabilities
- Monte Carlo & Bigeye — Observability platforms for automated quality monitoring, freshness tracking, and incident detection across pipelines
- ELK Stack & Splunk — Log analysis and search platforms for ETL troubleshooting, error tracking, and operational insights with real-time alerting
- Apache Ranger & Privacera — Governance and security monitoring with access control, audit logging, and compliance reporting for enterprise environments
FAQs about our ETL services
How do you handle pipeline failures in production?
We use automated retries, checkpoint recovery, and rollbacks. Failed jobs restart from the last successful stage, and our monitoring systems alert teams immediately with detailed error info for fast troubleshooting.
What volumes can your systems process?
Our systems handle terabytes daily using distributed frameworks. We’ve built platforms processing millions of records per hour with sub-second transformation latency through parallel processing and optimized partitioning.
How do you maintain data consistency?
We use transaction-based loading, validation checkpoints, and automated reconciliation. Every transformation includes quality checks and rollback procedures to keep source and target systems consistent.
Can you migrate legacy jobs to modern platforms?
We modernize legacy systems, translating COBOL jobs to cloud-native pipelines and upgrading proprietary tools to open-source frameworks while preserving business logic and data integrity.
How do you optimize performance for large datasets?
We use incremental loading, parallel processing, and smart partitioning. Optimizations like indexing, compression, and query tuning can cut processing times by 70-80%.
What's your approach to real-time data requirements?
We build streaming pipelines with change capture and event-driven architectures. Information flows continuously with sub-minute latency while maintaining batch-level quality checks.
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.