Custom Data Platform Development

Overview

We design and build custom data platforms from the ground up, perfectly aligned with your business requirements and growth trajectory. No cookie-cutter solutions—every component is selected and configured specifically for your use case.

What’s Included

Data Pipeline Architecture

• Custom ETL/ELT pipeline design
• Real-time and batch processing capabilities
• Data quality and validation frameworks
• Monitoring and alerting systems

Storage Solutions

• Database selection and optimization
• Data warehouse implementation
• Data lake architecture
• Hot and cold storage strategies

Processing Systems

• Stream processing setup
• Batch job orchestration
• Distributed computing frameworks
• Scalable compute resources

Integration Layer

• API development and management
• Third-party system integrations
• Data synchronization solutions
• Microservices architecture

Technologies We Work With

• Databases: PostgreSQL, MySQL, MongoDB, Cassandra
• Data Warehouses: ClickHouse, DuckDB, Apache Druid
• Processing: Apache Spark, Flink, Kafka
• Orchestration: Airflow, Prefect, Dagster
• Cloud & Infrastructure: Docker, Kubernetes, Terraform

Ideal For

• Businesses starting their data journey
• Companies outgrowing spreadsheet-based processes
• Organizations needing custom data workflows
• Teams requiring specialized data processing

Outcome

A fully functional, scalable data platform that grows with your business, maintained on your own infrastructure with complete transparency and control.