Nov 2024 – Sep 2025 · 10 mos · Bengaluru, Karnataka, India · On-site

May 2023 – Oct 2024 · 1 yr 5 mos · Bengaluru, Karnataka, India

Jun 2021 – Feb 2023 · 1 yr 8 mos · Bengaluru, Karnataka, India

• Aero
• a) Aero is a service that acts as a wrapper on top of Apache Airflow, a powerful open-source platform for authoring, scheduling, and monitoring workflows.
• b) Responsible for maintaining ~100 onboarded productions clusters
• c) As part of customer onboarding I have worked closely with various teams to ensure that the clusters were set up correctly and integrated seamlessly with the rest of the Aero service.
• d) Conducted a proof of concept and was part of designing a new service from the ground up for collecting Business/Customer metrics. This service helped in gathering valuable insights on end-users' requirements and played a crucial role in informing business decisions.
• e) Implemented a monitoring and alerting system for Airflow on Composer which helped in identifying and resolving any issues with the workflows in a timely manner, resulting in improved workflow performance and reliability.
• f) Worked on providing cost-optimized multi-tenant Airflow clusters on Composer. This allowed multiple teams to share Airflow clusters while still maintaining isolation and security.
• Date Lifecycle Manager
• a) Data Lifecycle Manager (DLM), is the primary service for configuring replication and retention of Twitter’s datasets across Hadoop Distributed File System (HDFS), Google Cloud Storage (GCS), and BigQuery (BQ).
• b) Worked to design a self serve retention system for users across Twitter
• c) This service ensures FTC compliance for analytics data stored across different storage systems (HDFS, GCS and BigQuery)

May 2020 – Jul 2020 · 2 mos · Chennai, Tamil Nadu, India

• a) Developed a system to measure and analyze the latency of data received from the Market data feed handler after subscribing to symbols of an exchange, using different inter-process communication methods such as TCP, Onload-TCP, and SHM.
• b) Conducted thorough testing of the program on various exchanges using a script file on a remote host to ensure accurate and reliable results.
• c) Used Protocol Buffer (Protobuf) to ensure efficient and compact transmission of data from Market data feed handler to a Node.js application via TCP communication. The data was further processed and consumed by the user interface, resulting in seamless display of data for users.

Aug 2018 – Mar 2019 · 7 mos

• • Worked on vendors compilation and online feedback collection for 8000+ students in IIT Madras

Aug 2018 – Mar 2019 · 7 mos

• Negotiated with BookMyShow as a ticketing partner and was part of the marketing sector for Saarang
• Together generated revenue around INR 70L from professional shows tickets of Saarang