Cloud Data Warehouses
Snowflake, BigQuery, Redshift, Synapse design and optimization.
Data Engineering
Modern data pipelines that scale, govern & deliver.
End-to-end data engineering — warehouses, lakehouses, ELT pipelines, real-time streaming and governance — on Snowflake, BigQuery, Databricks and the modern data stack.
The data foundation analytics and AI depend on.
Before BI and AI deliver value, your data needs structure, quality and trust. We design and build modern data platforms — from ingestion and warehousing to transformation, governance and monitoring — so every downstream report, model and product gets reliable data.
- Modern data stack: Fivetran/Airbyte ingestion + dbt + Snowflake/BigQuery + BI
- Real-time pipelines with Kafka, Kinesis, Debezium and CDC patterns
- Lakehouse architectures on Databricks, Iceberg and Delta Lake
- Data quality, contracts, lineage and SLAs with dbt tests + Great Expectations
- Cost optimization — warehouse credits, query tuning, storage tiering
What's included
ELT/ETL Pipelines
dbt, Airflow, Dagster, Fivetran and custom Python pipelines.
Data Lakehouse
Databricks, Iceberg, Delta Lake and unified analytics.
Streaming & CDC
Kafka, Kinesis, Debezium and real-time event pipelines.
Governance & Quality
Data contracts, lineage, RBAC, PII masking and GDPR.
DataOps & CI/CD
Git-based dbt workflows, automated tests and environment promotion.
Our delivery process
STEP 01
Data Audit
Map sources, quality issues, downstream consumers and pain points.
STEP 02
Architecture Design
Choose warehouse, modeling approach and pipeline tooling.
STEP 03
Build & Migrate
Ingest, transform, test and migrate consumers with zero downtime.
STEP 04
Govern & Optimize
Monitoring, alerting, cost controls and continuous improvement.
Technologies we use
SnowflakeBigQueryDatabricksdbtAirflowDagsterFivetranAirbyteKafkaPythonSQL
Frequently asked questions
Which data warehouses do you work with?+
Snowflake, BigQuery, Redshift, Databricks Lakehouse, Azure Synapse and Postgres-based warehouses.
Can you migrate us from legacy ETL to modern data stack?+
Yes — we migrate from SSIS, Informatica and homegrown scripts to dbt, Airflow, Fivetran and ELT pipelines on the cloud.
Do you handle data governance and quality?+
Absolutely. We implement data contracts, lineage, quality tests (dbt tests, Great Expectations) and catalog tools like DataHub or Atlan.
How do you ensure data security and compliance?+
Encryption at rest and in transit, IAM, row-level security, GDPR/HIPAA-aligned architectures and audit logging.
Need a data platform you can finally trust?
Speak with our specialists — free 30-minute scoping call, no obligations.