Data Engineering Consulting
Build a data platform that scales with your business -- from pipeline development to cloud migration.
Your analytics dashboards are hours or days behind. Pipeline failures consume your data team's time. You need reliable data infrastructure, but building it in-house requires specialized expertise and months of hiring. TiHub delivers production-grade data platforms -- designed, built, and handed off to your team -- so you can focus on the insights that drive revenue.
Technology Stack
What We Deliver
- Data platform design and build (medallion architecture, data modeling, warehouse setup)
- ETL/ELT pipeline development for batch and streaming workloads
- Data lake and data warehouse implementation with full data quality testing
- Cloud data migration from on-prem to AWS, Azure, or GCP with minimal downtime
- Data quality and observability: automated checks, monitoring, alerting, and lineage tracking
Proven Results
- Dashboard latency reduced from 24-48 hours to under 15 minutes
- Pipeline failure rate dropped from ~12 incidents/month to fewer than 2
- Data teams reallocated 70% of firefighting time to strategic analytics
Sub-services
Data Platform & Infrastructure
Snowflake, Databricks, BigQuery, Redshift, PostgreSQL
ETL/ELT Pipelines
Apache Airflow, dbt, Spark, Kafka, AWS Glue, Fivetran
Data Lake / Data Warehouse
dbt, Snowflake, Databricks, Delta Lake, S3/GCS
Cloud Migration
AWS, Azure, GCP, Terraform
Data Quality & Observability
Great Expectations, dbt tests, Monte Carlo
Ideal Client
Engineering leaders and data teams at mid-market SaaS companies (50-500 employees) who need a modern data platform without the overhead of building an in-house platform team.
Engagement Models
Fixed Price (assessment + design), T&M (implementation), or Dedicated Engineer
Ready to get started?
Book a free consultation to discuss your project requirements.
Or email us at info@tihub.space