We design, build, and operate production-grade data pipelines — batch, streaming, and CDC — that move data between your systems without breaks, drift, or silent failures. From first pipeline to enterprise-scale data movement.
A single failed pipeline means your dashboards are wrong, your ML models are stale, and your team can't trust the numbers. Most data pipelines fail silently — leaving gaps, duplicates, or drift nobody catches until weeks later. We build pipelines that are tested, monitored, and self-healing — so data moves reliably from every source to every destination, every time.
Scheduled batch pipelines that extract from any source, transform data reliably, and load into warehouses, lakes, or downstream systems.
Real-time pipelines that process events as they happen — using Kafka, Kinesis, Pub/Sub, Flink, or Spark Streaming.
Change Data Capture pipelines that replicate database changes in near real-time — from Postgres, MySQL, MongoDB, SQL Server, Oracle.
Transform raw data into analytics-ready models — with dbt, SQL, Python, and Spark — following modern ELT patterns.
Testing, monitoring, and alerting for every pipeline — so you catch data issues before your users do.
Production-grade orchestration with Airflow, Dagster, Prefect, or Cloud Composer — with retries, dependencies, and SLA monitoring.
Load data reliably into Snowflake, BigQuery, Redshift, Databricks, or your lake — with proper partitioning and merge strategies.
Let us run your pipelines — monitoring, alerting, incident response, and continuous optimization — so data never stops moving.
From ingestion to transformation to monitoring — we deliver the complete data movement capability.
Scheduled, idempotent, restartable pipelines.
Real-time pipelines with exactly-once semantics.
Real-time database replication across systems.
dbt, SQL, Python, and Spark transforms.
Tests, contracts, and anomaly detection.
Airflow, Dagster, Prefect, and MWAA.
Snowflake, BigQuery, Redshift, Databricks.
S3, GCS, Delta Lake, Iceberg.
PII handling, encryption, and access control.
Throughput, latency, and cost tuning.
Alerts, lineage, and SLA tracking.
24/7 pipeline operations and support.
Whether you're building your first pipeline or running hundreds in production — we bring the data engineering depth you need.
Reliable ingestion into Snowflake, BigQuery, or Redshift.
Product and event data pipelines for analytics and ML.
Order, inventory, and customer data pipelines.
Real-time transaction and risk data pipelines.
HIPAA-compliant clinical and operational pipelines.
Enterprise-scale data movement across systems.
First pipelines and data foundations without overhead.
Real-time shipment, fleet, and operations pipelines.
Migrating from legacy ETL tools (Informatica, SSIS).
We work with the best tools in every layer — ingestion, transformation, orchestration, and monitoring.
Inventory sources, targets, and data movement needs.
Design pipeline architecture, schemas, and orchestration.
Build extraction, transformation, and loading logic.
Data quality tests, backfills, and edge cases.
Monitor, alert, tune, and evolve pipelines.
Tested, monitored, and self-healing — not scripts that break.
Every pipeline ships with tests, contracts, and alerts.
Streaming and CDC patterns for real-time use cases.
dbt, Airflow, Kafka — the tools modern data teams use.
Warehouse and pipeline costs tuned as a first-class concern.
Hand it off, or let us operate your pipelines — your choice.
Tell us about your data sources and destinations. We'll design and build production-grade pipelines with quality, monitoring, and reliability built in. Book a free data engineering consultation.