Years engineering platforms
Projects delivered
Clouds — AWS · Azure · GCP
Certifications
// What I do
Four disciplines, one platform mindset
I design and review architectures end to end — from the infrastructure that runs the platform to the AI systems that run on top of it.
Platform Engineering
Governed, cost-optimized lakehouse foundations — Unity Catalog, Databricks Asset Bundles, zero-touch CI/CD, Kubernetes, and infrastructure as code across Azure and GCP.
Data Engineering
Medallion architectures at TB scale — Delta Lake, declarative pipelines, Autoloader, Spark optimization, and orchestration with Airflow and Azure Data Factory.
Data Operations
Reliability as a discipline — observability, data freshness SLAs, incident runbooks, self-healing pipelines, and root-cause automation for production data estates.
AI Engineering
LLMOps and agentic systems grounded in real platforms — RAG over enterprise metadata, AI-assisted analytics with Databricks Genie, and governed GenAI delivery.
// The pipeline
Bronze → Silver → Gold
Like the data I work with, the career has been refined layer by layer — eight years at Sigmoid, from the terminal to the architecture board.
Technical Support Engineer
Deployed and managed GCP and AWS Hadoop clusters running Spark ETL — scripting, monitoring, and keeping thousand-node estates alive 24/7.
DevOps Engineer
Built and secured AWS Hadoop platforms at TB scale — zero-trust networking, bastion architectures, Grafana auditing, and PoCs that brought Delta Lake into the stack.
DevOps Engineer II
Migrated Python pipelines to Databricks — ACID transactions, schema evolution, Delta optimization over billions of rows, and Airflow-orchestrated job clusters.
Senior Data Operations Engineer
Owned production reliability for enterprise data pipelines — performance, monitoring, and operational excellence across cloud data estates.
Data Operations & Engineering Lead
Led delivery across data engineering and operations — team leadership, client-facing architecture, and platform modernization on Databricks, Azure, and GCP.
Solution Architect
Designing and reviewing scalable, reliable architectures for big data platforms and AI systems — spanning platform engineering, data engineering, data operations, and AI engineering.
// The stack
Tools of the trade
Chosen per problem, governed by default.
Data Platform
Cloud & Infrastructure
DevOps & Delivery
AI & Languages
// Featured work
Selected builds
Platform Engineering
Platform360
Standardized Databricks catalog architecture for multi-team data access — one governed entry point with Unity Catalog for discovery, permissions, and lineage.
Explore →FinOps
Cross-Cloud Cost Normalization
Normalized Azure and GCP usage and billing into one cost model using the FOCUS framework — clear dashboards for cloud spend decisions.
Explore →Data Engineering
Real-Time Oracle → Databricks
Real-time ingestion from Oracle into the lakehouse — Mulesoft and Airflow orchestration with Delta Lake as the landing layer.
Explore →"Obsessed with automation. Passionate about performance.
Focused on impact."
// Contact
Let's build something governed, scalable & smart
Open to collaborations, mentoring, and speaking engagements on platform engineering, DataOps culture, FinOps governance, and cloud-native data & AI practices.
Find me
Bengaluru, India — usually somewhere between a Databricks workspace and an architecture diagram.