Apr 2024 – Jan 2025 · 9 mos · Gurugram, Haryana, India · Hybrid

• Backend and Data Engineer***
• Tax and Regulatory Systems
• ● Developed and managed Tax compliance and data-sharing system for Expedia Group, enabling the
• accurate calculation of indirect taxes across various jurisdictions/states, supporting over 50+ countries, and
• automating Tax report submissions to multiple government entities :
• ❖ Engineered and designing scalable data pipelines using Spark, Hive, Trino, SQL, Java, and AWS
• EMR, enabling seamless tax report sharing with 20+ business partners, optimizing data processing
• across distributed systems.
• ❖ Designed and implementing automated Spark jobs connected to Teradata, efficiently processing
• 10-20 petabytes of data daily. Developed scripts for AWS EMR cluster management, reducing
• operational costs by 30% through automated spin-up and termination of clusters post-completion
• and stored the data on Aws S3 file system.
• ❖ Optimized complex queries and response time with Trino and Hive, significantly reducing response
• times to milliseconds for big data processing, improving system efficiency by over 40%.
• ❖ Automated workflows using Apache Airflow for multiple Lines of Business (LOBs) like Cars,
• Lodging, and Insurance, streamlining processes across different jurisdictions, leading to a 20%
• reduction in manual effort.
• ❖ Connected and managed Tax configuration service holding dynamic tax rules and attributes,
• allowing real-time updates to jurisdiction-specific regulations. Integrated these rules into Spark
• processing to ensure up-to-date tax computations
• ❖ Implemented monitoring, alerting, and reconciliation services, proactively identifying
• discrepancies and ensuring data accuracy across tax reports. Reduced data inconsistencies by 25%
• through automated checks and real-time alerts.
• ❖ Built multiple Tableau dashboards tailored to business needs, providing jurisdiction-specific
• insights for stakeholders, enhancing data visualization, and decision-making processes.

Aug 2022 – Apr 2024 · 1 yr 8 mos · Gurugram, Haryana, India · Hybrid

• Backend and Data Engineer***
• ● Worked with the Platform Team as a Backend and Data Developer, followed Agile Methodologies, and made individual contributions in planning, grooming, development, scaling, and quality gate unit testing.
• ● Involved in the development of the UCM system at Airtel on the backend side with responsibilities including :
• ❖ Migrating Airtel Thanks App system to create new Apis with better throughput and less latency
• using NoSql database - aerospike, SpringBoot, Java, Rest API, Kubernetes, Docker, Aerospike,
• Spring Data.
• ❖ Working at Aerospike framework level to implement Multi Records Transaction and Optimistic locking in the Aerospike for all the concurrent updates and transactions involved in Airtel Thanks App.
• ❖ Improving the backend code base quality and resolving critical bugs by following Agile
• Methodologies, Code Reviews, and Unit testing
• ❖ Implementing logic for all the new Complex Apis Response and Java mappers for Aerospike data
• ● Developed and Scaled the Federation Layer Engine in the Data Platform team which serves OLAP queries with millisecond latency :
• ❖ Increased the efficiency of processing 10 Tb data daily by 50% using multithreading (over 60 threads for Writer, Reader and used above 600 cores executors in Spark), Spring Boot, Spark, SQL, Hive, Kafka, Concurrent DisruptorQueue and Alluxio cache system.
• ❖ Build a scalable query system exposed to clients using Spark, Hive, Hadoop, and Trino which query billions of records per second over 4 node clusters
• ❖ Integrated the latest ORC with Cloudera, used Oozie as a scheduler, enabled ZSTD compression and cached ORC files in Alluxio
• ❖ Utilize Aerospike Scan threads to read billions of records in a few seconds from the Aerospike
• database with 15 threads
• ❖ Written test cases using JUnit, and Mockito and improved the backend codebase, resolved critical bugs, and improved the code quality by 30% through Code reviews.

Aug 2021 – Aug 2022 · 1 yr · Gurugram, Haryana, India

• Backend Developer ***
• ● Developed the Backend part of the project -Ayojak
• ❖ Created new APIs, developed new features using Java, Spring Boot, Spring Data, Postgresql.
• ❖ Improved the backend codebase, resolved critical bugs and improved the code quality by 30%
• through Code reviews.
• ❖ Followed TDD and implemented unit testing using Mockito and Junit.
• ● Worked upon Restructuring the database as per the new business requirement and optimisation of App.
• ● Developed the Frontend part of the project -Ayojak
• ❖ Designed various UI components using Html, Css, ReactJs, Redux-Toolkit.
• ❖ Optimized the UI performance of Web App by decreasing response time of APIs from 30 to 19 sec .
• ❖ Improved the frontend code base quality through code reviews and unit testing using Jest, Enzyme
• and React Testing Library.
• ● Implemented the Continuous Integration|Continuous Development pipeline using CircleCI and
• Google Cloud which increases the overall productivity of the team by 20%.
• ● Created Serverless VPC for deploying the web application to production in Google Cloud Platform.
• ● Handled various project and product delivery activities like sprint showcases to clients and releases.