Database Development
From OLTP to analytics—data models that power real work.
We design relational and document schemas that scale, with pipelines that keep your warehouse fresh and trustworthy.
Models, pipelines, outcomes
OLTP and event models for apps, batch/stream pipelines for freshness, and marts that make analytics fast and reliable.
Firestore
Multi-tenant patterns, security rules, transactional writes, exports to BigQuery.
MySQL & SQL Server
Operational schemas, indexing strategies, replication, tuning, migration to cloud.
Pipelines & Marts
Kafka/Spark ETL, Airflow/Workflows, dbt, dimensional marts, SCD, finance-ready events.
Ecosystem
Warehouses, lakes, engines.
PostgreSQL, MySQL, SQL Server for OLTP; BigQuery, Snowflake, and Databricks for analytics; Kafka/Spark and Airflow/Workflows for pipelines.
OLTP → Events/ETL → Warehouse/Lakehouse → BI/Apps
Capture clean transactions, emit finance-ready events, transform with resilient pipelines, and serve fast marts to your BI and product surfaces.
- Normalized, indexed schemas
- ACID and security rules
- Idempotent transforms
- Backfills and SCD
- Partitioning and clustering
- Marts for BI and apps
- Finance-ready audit events
- Privacy and RBAC
Data that stays fresh and trustworthy
We pair sound modeling with observable pipelines and governance, so your teams can move quickly without breaking numbers.
Idempotent pipelines
Audit & lineage
