Data Engineering

Data Pipeline & ETL/ELT

Bad data pipelines are invisible until they fail at the worst moment. We build data pipelines with the reliability, observability, and testing standards of production software, so your analysts and models work from data they can trust.

99.9%

Pipeline Uptime

10TB+

Daily Data Processed

3x

Faster Data Delivery

What We Deliver

Data Pipeline & ETL/ELT Services

Practical, production-ready work — not proofs of concept that never make it to real users.

ELT Pipeline Development

Modern ELT pipelines using Fivetran, Airbyte, or custom connectors to land raw data then transform in-warehouse with dbt.

Batch Processing

Spark and Python-based batch jobs for large-scale data transformation, aggregation, and enrichment with checkpoint recovery.

Pipeline Orchestration

Airflow, Prefect, or Dagster DAGs that schedule, monitor, and manage dependencies between pipeline stages.

Data Quality Framework

Automated data quality tests and expectations built into the pipeline that halt bad data before it reaches downstream consumers.

How We Engage

Common Engagements

01

Data Warehouse Ingestion

Multi-source ingestion pipeline feeding a Snowflake or BigQuery warehouse from a dozen SaaS tools and databases.

02

ML Feature Pipeline

Feature engineering pipeline that computes and serves ML features to model training and real-time inference endpoints.

03

Cross-System Sync

Bidirectional data sync between operational systems that keeps CRM, ERP, and data warehouse aligned without duplication.

04

Historical Backfill

One-time or recurring backfill of years of historical data from legacy systems into a modern analytics stack.

Why InnovTen

What You Can Count On

  • Pipeline failures alert on-call before analysts notice missing data
  • Idempotent pipeline design that recovers correctly from partial failures
  • Full lineage from source system to dashboard field for impact analysis
  • Schema evolution handling that prevents pipelines from breaking on source changes
  • Cost-optimized execution that minimizes warehouse compute spend

Technologies We Use

Apache Spark dbt Apache Airflow Prefect Fivetran Airbyte Python SQL Snowflake BigQuery

Ready to Get Started?

Tell us about your project and we'll put together a practical path forward.

Talk to Our Team