Dec 2021 – Jun 2022 · 6 mos · Greater Bengaluru Area · Remote

• Execution: Developed and deployed reporting and analytics APIs (Python, Django, Pandas, MongoDB), reducing query latency by ~40% and improving dashboard responsiveness for internal analytics and client reporting.
• Code Quality: Increased unit test coverage to 95% by refactoring legacy code into modular, testable components, reducing production bugs by 25% and accelerating new developer onboarding.
• Reliability & Support: Provided 24/7 production support for critical workflows, maintaining 99.9% uptime for reporting services and ensuring business continuity.
• Cross-Functional Collaboration: Conducted code reviews and collaborated with data engineering, product, and business teams to deliver high-quality, maintainable solutions aligned with business needs.
• Impact: Improved analytics platform performance and reliability, enabling faster, data-driven decisions and enhancing stakeholder trust in reporting outputs.

Nov 2020 – Nov 2021 · 1 yr · United States · Remote

• Execution: Migrated 50+ on-premise ETL pipelines to AWS Cloud, improving scalability and reducing batch runtime by ~30%, enabling faster analytics and reporting.
• Ownership: Developed Node.js utilities to ensure migration accuracy, zero discrepancies, and boosted stakeholder confidence.
• Design & Architecture: Modernized ETL workflows using Java, Pig, Spark, Hive, and backend validation APIs (Spring), enhancing data integrity and operational reliability.
• Automation: Implemented deployment automation using Docker, Kubernetes, and Ansible, improving CI/CD efficiency and reducing manual deployment errors by 40%.
• Cross-Functional Leadership: Participated in project and capacity planning, Agile ceremonies, and coordinated across engineering, product, and business teams to deliver timely, accurate migrations.
• Impact: Increased pipeline reliability and reduced operational overhead, enabling teams to make faster, data-driven decisions with high confidence.

Dec 2018 – Oct 2020 · 1 yr 10 mos · Greater Bengaluru Area · On-site

• Execution: Developed and deployed Doctor Referral Service (Java, Dropwizard, AWS Lambda), enabling seamless specialist referrals and reducing manual referral handling by 40%.
• Ownership: Built Recent Doctors Service (Golang + AWS Lambda) to surface previously consulted doctors, increasing user engagement by 25% and improving repeat teleconsultations.
• Product & User Experience: Created Doctor Categories microservice with MySQL domain modeling, improving search accuracy and reducing average user search time by 30%, enhancing patient experience.
• Design & Architecture: Delivered scalable RESTful APIs on serverless AWS Lambda architecture, ensuring high availability, auto-scaling, and reducing infrastructure costs by 20%.
• Cross-Functional Leadership: Led backend design and implementation, collaborating with product, frontend, and operations teams to deliver robust, user-facing features on schedule and aligned with business goals.
• Impact: Overall improvements increased platform efficiency and user satisfaction, enabling Halodoc to handle higher patient volume with minimal operational overhead.

Dec 2016 – Dec 2018 · 2 yrs · Jakarta, Indonesia · On-site

• Execution: Built a self-serve data platform processing ~10M transactions/day, enabling real-time insights and reducing reporting delays by 50% across business units.
• Ownership: Designed and developed Dagger, an open-source Kafka → pluggable sink pipeline supporting dynamic sinks (console, database, HTTP) configurable via Consul, improving ingestion reliability and data flexibility for 15+ downstream services.
• Reliability: Implemented fault tolerance, retries with exponential back off, and monitoring using Datadog, Statsd, and JMX, reducing pipeline failures by 35% and ensuring high availability of streaming analytics.
• Design & Architecture: Managed streaming aggregation pipelines (Kafka, Flink/Yarn, InfluxDB, Grafana) and high-availability Flink clusters on GCP DataProc, increasing real-time analytics throughput by 40%.
• Product & Risk Mitigation: Built fraud prevention microservices (wallet suspension, rate limiting) in Java/Spark using Hystrix and Guava, reducing fraudulent transactions by 3% and improving system reliability.
• Automation & CI/CD: Delivered automated deployment pipelines using GitLab, Gradle, and Docker, streamlining engineering workflows and reducing release times by 30%.

Apr 2015 – Dec 2016 · 1 yr 8 mos · Greater Bengaluru Area · On-site

• Execution: Integrated Voice Capability into QuickBooks Online using Amazon Alexa API within 7 days for hands-free workflow of SMB users resulted in 5% increase in adoption
• Ownership: Designed, developed, and deployed a RESTful API for distributed config management using Java, AWS. Improved configuration scalability/reliability across 2 products with 15 services
• Clean Code: Increased Dragline's code coverage from 20% to 80% using Sonar, JaCoCo. Applied OOP, SOLID principles; wrote tests with JUnit, TestNG, Mockito, and PowerMock. Resulted in 50% fewer data quality issues and faster ETL migration
• Design and Architecture: Developed a pluggable mock-data testing framework (Local FS, HDFS, S3, Vertica, Hive), reducing QA cycles by 25%
• Feature Development: Enhanced Sangria Console for admin workflows using Spring, Hibernate and SSO, increasing efficiency of blacklist/whitelist of EIN management by 70% and help operational monitoring
• Automation: Implemented CI/CD pipelines to reduce manual builds and automate deployment using Jenkins, Sonar enabled ART and improved release efficiency and reliability by 40%

Mar 2012 – Mar 2015 · 3 yrs · Greater Bengaluru Area · On-site

• User Platform: Built and scaled ETL pipelines from a few GB to ~100 TB Volume using HBase, HDFS, Thrift-LZO, MapReduce, and Pig, supporting 800 million active users and enabling data-driven ad targeting.
• Product: Developed user profiling and segmentation pipelines for interest-based, retargeting, and persona-targeting campaigns by evaluating DAU/MAU, increasing targeting accuracy by 18% and CTR by 10% across over 100 campaigns.
• Observability: Built visualization, reporting dashboards with Grafana/Nagios to monitor pipeline health, reducing infrastructure costs by 35%.
• Support: Provided 24/7 on-call support with SLAs from 1 to 24 hours for hourly, daily, and monthly data pipelines.
• Cross-Team Collaboration: Implemented user data ingestion, curation, enrichment (third-party APIs/CSV), and caching pipelines, coordinating with Product, BI, Ad-Serving, and User teams to ensure reliable delivery to data centers and online caches.