Headline

Software Engineer | Advertising Billing at Amazon

About

I am a data science enthusiast skilled in Python,C/C++.I have a keen interest to explore and manipulate data and I am actively looking for the opportunities to grow and explore further in this field. My other interests include dancing and singing.

Location

Bengaluru

AI stack

claude code

kiro

notion

Work experience

Software Engineer | Advertising Billing at Amazon, Aug 2025 - Present · 1 y 1 mo, Bengaluru, Karnataka, India, • Architected a real-time financial attribution system using AWS serverless computes that automated 82% of digital video advertising revenue attribution from monthly to daily across 13 marketplaces. This enabled Finance CFO leadership with timely P&L statements for multi-billion dollar budget decisions while eliminating 3 fragile offline data dependencies that previously caused 5+ sev2 incidents annually. • Designed an end-to-end deferral accounting automation pipeline for a $500MM promotional program spanning 80K+ advertisers across 20+ marketplaces. The system integrates Spark-based ingestion with Athena-driven spend retrieval to perform portfolio-level ASC 606 calculations and post journal entries directly to the ledger, reducing manual accounting effort by 90% and removing period-close risk from the Finance critical path. • Designed and validated an automated revenue recovery solution that demonstrated 98% recovery of $2.4M in impacted revenue by building a Lambda-based log scanner to quantify a recurring systemic issue generating 20 operational tickets/month. Separately resolved a $510K/month Sev-2 mis-attribution incident by tracing root cause across 4 upstream systems and deploying the fix across 9 revenue channels. • Built 15+ data ingestion pipelines and migrated legacy data sources to modern platforms while establishing CI/CD for 3 services and completing JDK migrations. Authored production runbooks and automated the Twitch attribution workflow by re-engineering legacy scripts into event-driven pipelines, reducing deployment cycle time by 60% and eliminating recurring monthly manual interventions. • Independently owned Finance month-end close operations for 6 consecutive months as the sole engineer responsible for end-to-end execution across variance investigations, quarterly restatements, and on-call rotations, ensuring zero missed close deadlines for multi-billion dollar revenue reporting.

Software Engineer | Business Data Technologies at Amazon, Jul 2023 - Jul 2025 · 2 yrs 1 mo, Bengaluru, Karnataka, India, • Engineered real-time reconciliation workflows using multiple AWS computes to identify ingestion gaps across hundreds of RDS clusters, reducing log investigation time from days to minutes and enabling compliance teams with productive metrics for rapid triage. • Designed and deployed a Spark-based framework reducing S3 log collection time from 90 to 20 minutes for 150,000 buckets achieving a 4x speedup, and separately reduced daily processing from 8.5 hours to 1 hour for 5,000+ buckets via partitioned prefix ingestion. • Reduced access log data storage by 90% to save a projected $94M annually by aggregating logs on required attributes across 150,000 buckets. • Enabled differentiation of user access calls from internal re-direction calls through PoC-driven validation of access log patterns across Redshift and Athena, strengthening audit completeness and improving access monitoring accuracy. • Achieved security certification after a 4-year lapse by implementing in-transit encryption for EMR and S3, completing threat model and incident response plan. Handled on-call across 15+ weeks driving reliability improvements.

Software Development Engineer Intern at Amazon, May 2022 - Jul 2022 · 3 mos, India, • Cut average BillPay recharge latency by approximately 40% by designing an async multithreaded Java solution that buffers and processes delayed third-party API responses without blocking the main workflow. • Drove system reliability to zero spillover incidents and 90% unit-test coverage by implementing concurrency-safe callback handling and exhaustive testing across all exception paths.

Data Science Intern at Terra Economics and Analytics Lab, Apr 2021 - Jun 2021 · 3 mos, Bengaluru, Karnataka, India, •Built data pipelines for processing real-estate data. •Transformed and cleansed huge volumes of real estate data to be used in a variety of data-driven applications. •Developed data-driven solutions and generated analytics for real-estate data.

Data Science Intern at iSmileTechnologies, Jun 2020 - Sep 2020 · 4 mos, Hyderabad, Telangana, India, • Developed model for prediction of sales and demand in future with pipelines developed from scratch. • Performed analysis with research in the domain of Demand Forecasting. • Extracted insights from the data to improve the model.

Education

IPG B.Tech + M.Tech, Information Technology, ABV-Indian Institute of Information Technology and Management