Backend engineer with 5+ years building production services and data systems across payments and education. Focused on reliability, clean service design, and performance under real traffic.
Designed automated validation checks and monitoring to reduce manual QA by ~3 hours/day and improve data readiness for reporting by ~40%.
Built production data workflows across Snowflake, Databricks, and Python to support predictive analytics, reliable reporting, and self-service insights for academic stakeholders.
Authored documentation and training guides that improved dashboard adoption and reduced support queries from non-technical users.
Troubleshot cross-platform issues using logs, SQL analysis, and validation scripts to restore broken pipelines and prevent recurring failures.
05/2020 — 05/2023
Senior Software Engineer
Ivy Comptech · Hyderabad, India
backend
Scalable, event-driven transaction and engagement platform supporting real-time workflows, campaigns, and experimentation-driven improvements.
JavaSpring BootREST APIsAWSMySQLGitDockerJenkins
02Selected projects
Selected engineering projects.
Two focused systems that show how I approach data quality, idempotency, failure handling, and observability.
DATA PLATFORM
Analytics Ingestion & Data Quality Platform
Implemented ingestion and validation workflows with automated data-quality checks and backfill support, improving reporting readiness and reducing manual QA.
Engineering decision
Treat validation and recovery as first-class stages of the workflow so reporting consumers receive dependable, ready-to-use data.
Sources
Operational and academic data enters the ingestion workflow.