How We Cut Databricks Costs by 45% Without Touching a Single Pipeline
A step-by-step walkthrough of the T-shirt sizing framework we use to rightsizes Databricks clusters across enterprise environments.
Techiravan LLP engineers enterprise-grade Azure platforms, DevOps automation, and end-to-end data pipelines — 12 active clients, 10+ projects delivered, measurable cost reductions across every engagement.
Techiravan LLP was founded by a Senior Platform Engineer who runs production Azure environments daily — cloud engineering advice from someone still in the trenches, not just in a boardroom.
Hyderabad-based, serving enterprise and SME clients across India, UK, and US — 12 active clients, 10+ successful projects, cost savings on every engagement.
Founder, Techiravan LLP - Senior Platform Engineer - 3x Azure Certified
8+ years in enterprise Azure cloud and DevOps engineering. Currently leading platform operations for a US healthcare data platform spanning 11 Azure subscriptions. Specialist in FinOps, Databricks, ADF, Control-M, and Terraform-first platform engineering. PSM | Certified Scrum Master.
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Six core practice areas backed by real enterprise delivery, Terraform-first discipline, and production-grade documentation.
Azure landing zone design, VM migration, network topology, RBAC governance — from assessment to production cutover with zero-downtime runbooks.
End-to-end pipeline engineering on Azure DevOps and GitHub Actions — build, test, security scan, and deployment gates across Dev, UAT, and Production.
Enterprise data pipelines using ADF, Databricks, and Delta Lake — Control-M orchestration with PHI/PII-safe handling for regulated industries.
Terraform-only across all Azure resource types — policy-enforced, version-controlled, peer-reviewed. No portal drift, ever.
Automated cost intelligence: untagged resource cleanup, cluster rightsizing, anomaly detection, and budget alert runbooks across all subscriptions.
Key Vault, Defender for Cloud, NSG governance, and SSL management — audit-ready for HIPAA, SOC 2, and ISO 27001 across multi-environment estates.
Ingestion, transformation, orchestration, and cost optimisation — across healthcare, finance, and enterprise analytics at scale.
Large-scale healthcare data platform using Databricks, ADF, and Control-M — processing millions of records daily with full PHI exclusion, Terraform-only infra, and zero manual interventions.
14-day job audit notebook with T-shirt cluster sizing framework — direct cost attribution per job tier informing rightsizing decisions with the platform Databricks Solutions Architect.
Diagnosed corrupted Control-M container and JAVA_HOME misconfiguration. Rebuilt DEV-to-UAT migration via SSH/SCP. Full SSL renewal SOPs across DEV/UAT/PROD/HA.
Five-step decision-tree cleanup runbook covering 94 Azure resource categories — continuous FinOps governance without human intervention across 3,504 resources.
AI-powered tool detecting cost anomalies across all Azure subscriptions — surfaces root causes with PHI exclusion, integrates approval gates before any remediation fires.
Real feedback from active clients — anonymised by request, but 100% genuine.
"The Databricks rightsizing work alone saved us more in one quarter than the entire engagement cost. Techiravan built the dashboard, handed us the runbook, and our team has been running it independently ever since. That's real knowledge transfer."
"We were burning money on untagged Azure resources for over a year. Techiravan's automated cleanup runbook found and resolved 94 resource types in a single sprint. Cost visibility went from zero to real-time overnight."
"99% uptime isn't just a number on a slide — it's what we actually get. Their NOC team caught a potential outage on a Sunday night before it hit our customers. The SOP documentation means nothing falls through the cracks."
Written by practitioners who run these systems daily — not marketing. Real techniques, real numbers.
A step-by-step walkthrough of the T-shirt sizing framework we use to rightsizes Databricks clusters across enterprise environments.
How we built a fully automated governance runbook that identifies, classifies, and remediates 94 Azure resource types.
Root cause analysis of a corrupted cm_container.cmd file and the JAVA_HOME misconfiguration that broke 3 production environments.
We audit your Azure estate, identify waste, map dependencies, and produce a written cost and risk assessment before any work begins.
Landing zone, data pipeline architecture, RBAC model, and cost projections — documented and approved before the first Terraform commit.
Terraform-first provisioning through peer-reviewed pipelines. Every resource tagged, governed, and auditable from day one.
FinOps dashboards, SOP-driven incident response, 99% uptime SLA on NOC — full handoff so your team owns the platform long-term.
Hyderabad, Telangana - India, UK & US
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