Bengaluru, Karnataka, India
I’m a Python-focused Software Engineer at Accolite x Bounteous, currently consulting with Morgan Stanley on production data workflows and security/compliance systems. My work involves building Apache Airflow ETL pipelines, transforming enterprise telemetry data, validating data with Python/Pydantic, modeling relationships in Neo4j, querying through GraphQL, and supporting OPA/Rego-based compliance evaluation. I’ve worked on workflow reliability, incremental loads, idempotent persistence, query optimization, production debugging, and scoring workflows for security/compliance use cases. Previously, I worked on internal enterprise applications using Java, Spring Boot, Angular, and MySQL, and gained cloud experience at Whizlabs by building Azure-based interactive labs across compute, storage, networking, IAM, and monitoring services. I’m currently focused on Python backend engineering, FastAPI, system design and cloud based backend applications.
• Building and maintaining Apache Airflow ETL workflows for a security posture and compliance platform. • Processing enterprise telemetry from multiple internal source systems for downstream compliance and reporting workflows. • Developing Python transformation and validation logic using Pydantic schemas, Neomodel checks, and database constraints. • Supporting Cyber Fitness Score workflows using telemetry signals, scoring parameters, policy outcomes, and graph relationship data. • Implementing OPA/Rego policies as Compliance as Code to externalize security controls. • Modeling security posture, lineage, and entity relationships in Neo4j for graph-based analysis. • Optimizing Neo4j/Cypher and GraphQL query paths using constraints, indexes, APOC procedures, and batched query execution.
• Created Azure-based interactive training environments across compute, storage, networking, IAM, and monitoring services. • Leveraged 20+ Azure services to design hands-on cloud labs, troubleshoot deployment issues, and validate learner environments. • Applied Azure Policy for fine-grained resource creation controls and resolved 100+ support tickets across configuration, access, networking, and architecture issues. • Applied Azure Well-Architected Framework practices, contributing to an average 15% cost reduction in lab environments.