Six core services. Built for teams who need to ship

ETL Pipeline Development

Reliable ingestion and transformation pipelines for batch and streaming workloads, built on Airflow, dbt, Spark and Flink with clear monitoring throughout.

• Stream + batch unified
• dbt-native modelling
• ●SLA-aware pipeline design
• ●Lineage & data quality checks

Data Lake & Warehouse Architecture

Modern lakehouse foundations on Snowflake, BigQuery, Databricks and Iceberg, designed with governance, partitioning and cost control from the start.

• Lakehouse on Iceberg / Delta
• Medallion architecture
• Cost-aware partitioning
• Catalog & access control

Cloud Migration & Optimization

Smooth transitions off legacy stacks with right-sized compute, reduced idle spend, and infrastructure designed to scale with your business.

• Lift-shift-improve roadmaps
• Cost-aware architecture (FinOps principles)
• Careful, low-downtime cutovers
• Ongoing cost monitoring

Workflow Automation & Orchestration

Automated, well-monitored pipelines using Airflow, Dagster, Prefect or Step Functions — with alerting, retries and replay built in.

• Airflow / Dagster / Prefect
• Idempotent, reliable operators
• Failure alerting
• Replay & backfill support

Infrastructure as Code

Versioned, reproducible cloud environments using Terraform and Kubernetes — consistent across every environment, no manual configuration drift.

• Terraform / Pulumi
• Policy as code (OPA)
• Drift detection
• Multi-env promotion

Cloud Security & Compliance

Security-first foundations across identity, networking, monitoring and audit logging — built with common frameworks like GDPR and SOC 2 principles in mind.

• Zero-trust IAM setup
• Encryption everywhere
• Compliance-aware architecture
• Continuous audit logging