Data Infrastructure
That Scales With You
End-to-end data engineering — from raw ingestion to analytics-ready warehouses — built for reliability, performance, and your team's sanity.
ETL / ELT Pipelines
Design and build robust data pipelines that extract from any source, transform at any scale, and load into your warehouse or lake with zero data loss and full observability.
- Batch & streaming pipelines
- Apache Airflow / dbt / Spark
- Cloud-native (AWS Glue, Azure ADF)
- SLA-driven monitoring & alerts
- Schema evolution handling
Data Integration
Unify fragmented data across CRMs, ERPs, APIs, and databases into a single source of truth — real-time or batch, on-premise or cloud.
- API & webhook ingestion
- CDC (Change Data Capture)
- Master data management
- Event streaming (Kafka, Kinesis)
- iPaaS connectors (MuleSoft, Fivetran)
Data Analysis
From ad-hoc SQL to production-grade dashboards and ML-ready feature stores — we turn your raw data into decisions your team can act on.
- Interactive dashboards (Metabase, Power BI)
- SQL & Python analytics
- Statistical modeling & forecasting
- A/B test analysis
- Cohort & funnel analysis
Data Quality & Testing
Bad data costs money. We implement automated DQ frameworks — profiling, validation, anomaly detection, and lineage tracking — at every stage of your pipeline.
- Great Expectations / Soda
- Automated schema validation
- Anomaly & drift detection
- Data lineage & cataloging
- SLA alerting & incident playbooks
Database Design
Proper schema design pays dividends for years. We architect relational and NoSQL databases that scale, perform, and stay maintainable as your data grows.
- PostgreSQL, MySQL, MongoDB
- Partitioning & indexing strategy
- Query optimization
- Multi-region replication
- Migration & version control
Our Delivery Process
Technologies We Work With