Services
AI & Machine Learning
Analytics & BI
Cloud & Infrastructure
Data Pipeline Development
Good pipeline engineers are scarce. We vet for real production experience with Airflow, Kafka, Spark, and similar tools -- and for the judgment to choose the right approach for your scale, not the most impressive-sounding one.
What We Deliver
Core Capabilities
We place data pipeline engineers who move data from source to destination without it breaking at 3am. They integrate with your existing stack, work within your constraints, and ship on your timeline.
Real-Time Streaming
Engineers who've built production Kafka, Flink, and Spark Streaming pipelines -- systems that handle backpressure and failures gracefully, not just happy-path demos.
Batch Processing
Talent proficient in Airflow, dbt, and cloud-native ETL/ELT -- people who build scheduled workflows that run reliably without constant hand-holding.
Data Quality
Engineers who bake validation, testing, and monitoring into pipelines from day one. Not as a cleanup project six months later.
Schema Evolution
People who handle schema changes without breaking downstream consumers -- versioning, compatibility checks, and clear communication with dependent teams.
Technology Stack
Tools & Technologies
Success Stories
Real-World Use Cases
E-commerce Analytics
A pipeline engineer we placed built real-time order and inventory sync across multiple warehouses for a mid-size retailer, replacing a fragile nightly batch job.
Financial Data Feeds
An engineer we placed designed a market data ingestion system with exactly-once guarantees for a trading firm that couldn't afford dropped or duplicated records.
IoT Data Streams
Talent we placed built sensor data collection infrastructure for a manufacturing client, processing data from thousands of connected devices on the factory floor.
Ready to Build Your Data Pipeline Development Team?
Get matched with pre-vetted data pipeline development professionals in as little as 48 hours.
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