Work

Results, not rhetoric.

We measure what we've delivered by what runs in production — not what was promised in the proposal. Every case study here is a system that is live, performing, and owned by the client's team.

Cloud InfrastructureProject · 8 weeks

Series B SaaS, India

Software / Cloud Infrastructure

The situation

A fast-growing SaaS company with a 42% cloud cost overrun relative to industry benchmarks. Three separate AWS accounts with no tagging, no cost attribution by team or product line, and Savings Plans coverage at 11%.

What we built
  • —Unified AWS Organization with consolidated billing across all accounts.
  • —Tagging policy enforcement and cost attribution by team and product line.
  • —EC2 and RDS right-sizing across 140 instances.
  • —Savings Plans restructured from 11% to 71% coverage.
  • —FinOps dashboard in Grafana with real-time cost attribution.
Outcome

38% reduction in monthly cloud spend. Full cost attribution operational within 6 weeks. Engineering team now owns cloud cost as a first-class metric.

Data EngineeringProject · 12 weeks

Healthcare Analytics Platform

Healthcare / Data Engineering

The situation

A healthcare analytics company whose data pipelines had been failing silently for an unknown period, producing incorrect metrics that clinical and operational teams had been using for major decisions.

What we built
  • —Full re-architecture of ingestion and transformation layer on dbt + Apache Airflow + BigQuery.
  • —100% test coverage on critical metrics using Great Expectations.
  • —Data lineage documentation from source system to dashboard.
  • —Alerting and freshness monitoring across all 47 active pipelines.
Outcome

Zero silent pipeline failures since rebuild. Analyst time spent on data validation reduced from 35% to under 5%. Dashboard refresh time reduced from 18 hours to 42 minutes.

More case studies coming as engagements complete. All client details are anonymised or published with permission.

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