Lead Data Engineer and Manager with 10+ years of experience specializing in building, scaling, and optimizing high-impact data platforms and full-stack SaaS applications. Proven history of driving cross-organizational technical strategy, establishing engineering standards (Cloud/ETL), and delivering quantifiable business value.
Master of Science in Information Systems
The University of Texas at Arlington
December 2017 | GPA: 4.0/4.0
Bachelor of Technology in Information Technology
R.M.K. Engineering College, Anna University
April 2012 | GPA: 8.45/10
AWS Certified Developer – Professional
AWS Certified Developer – Associate
Wayne Watts Graduate Fellowship – 2017
Award for "Caring about the Craft" and "Caring about the business"
Years Experience
Monthly Revenue Generated
Annual Cost Savings
AWS Certifications
Programming Languages
AWS Services Mastered
Downtime Deployments
Companies
Lead Data Engineer, Data Platform Engineering Manager, or Technical Strategy roles at growth-stage companies.
Data platform architecture, cost optimization, and ETL standardization for startups and scale-ups.
Technical strategy and architecture decisions for data-heavy SaaS products and platforms.
Conference talks and technical workshops on data engineering, cost optimization, and system design.
Design scalable pipelines for millions of events/day
Cost optimization through database migrations and infrastructure choices
Data quality & validation at every layer
Full-stack systems (backend, API, frontend)
Multi-tenant architecture and product scaling
Zero-downtime deployments and CI/CD pipeline design
Team scaling and engineering standards
Technical strategy and architecture decisions
Engineering culture and best practices
March 2018 – Present | USA
January 2021 – September 2022 | India
October 2012 – December 2015 | India
Golang (Gin) Python (Django) Vue.js React Java Scala JavaScript
Airflow Kafka Spark Streaming Hive Spark ETL/ELT GraphQL
AWS S3 Redshift Lambda ECS RDS API Gateway Jenkins Docker CI/CD
Neo4J AWS Neptune MySQL Oracle MongoDB Git
Architected and led full-stack development (Golang/Gin, Vue.js, React) of company's first SaaS data product from concept to production.
Impact: Generated sustained $150K monthly profit across multiple partner sites.
Led enterprise-scale migration from Neo4j to AWS Neptune, including architecture redesign, data migration strategy, and team coordination.
Impact: Achieved $25K annual cost savings while improving scalability.
Drove organization-wide ETL/ELT standardization using Airflow and Docker, establishing formal cloud standards and best practices.
Impact: Improved team efficiency and reduced deployment errors across all data pipelines.
Engineered automated CI/CD process using Bitbucket and AWS CodePipeline/CodeBuild, enabling seamless deployments.
Impact: Achieved zero-downtime deployments and 10x faster release cycles.
Built a private cloud storage solution using Raspberry Pi with Nextcloud, implementing Tailscale VPN for secure remote access across devices without port forwarding.
Impact: Created secure, self-hosted alternative to commercial cloud storage with full data ownership and zero-trust network architecture.
How we built a proprietary data platform that coordinates between providers using their own data. The architecture decisions, scaling challenges, database migration from Neo4j to AWS Neptune, and how we went from manual deployments to zero-downtime CI/CD.
How we migrated 150GB of customer touchpoint data from Neo4j to AWS Neptune, achieving $25K annual cost savings while maintaining reliability. Real migration process, what went wrong, and how we fixed it.
How we replaced manual Elastic Beanstalk deployments with an automated CI/CD pipeline using Bitbucket and AWS CodePipeline. Real story of eliminating downtime, automating deployments, and the problems we solved along the way.
How we replaced AWS Simple Workflow Service with Apache Airflow + Docker to fix timeout issues, data errors, and retry problems. Real story of reducing pipeline errors by 80% and achieving full observability.
Open source work and featured projects showcasing full-stack engineering across data, backend, and DevOps domains.
Personal finance tracking and spending analytics application.
Open source contributions to AWS Cloud Development Kit (CDK) infrastructure-as-code.
Automated Resume to Portfolio generation and deployment on Raspberry Pi.
Explore more projects and contributions:
View on GitHub
Interested in discussing data engineering, SaaS architecture, or collaboration opportunities?
Send me a message or reach out via LinkedIn.