Jul 2024 – May 2025 · 10 mos · Berlin, Germany · Hybrid

Dec 2022 – May 2024 · 1 yr 5 mos · Berlin, Germany

• [Detach In Place]
• Developed an interactive python application communicating with AWS services using boto3 client, aimed at migrating OpsWorks customer resources (EC2 servers, stacks, application layer, configurations, & more) to Systems Manager (parent org).
• Customized the platform to make migration decisions based on customer input and addresses migration prerequisites which facilitated the migration of ~70% of customer resources and counting.
• Wrote behaviour driven integrations tests using pytest-bdd for end-to-end testing of migration scenarios, and integrated them in the CI/CD pipeline to be run during each deployment cycle.
• [AWS SDK migration - Co Feature-lead]
• Led migration project to develop an AWS SDK adapter package to facilitate communication between OpsWorks and other AWS services, in order to transition away from deprecated SDK Ruby V1 to version 3 SDK.
• Use of the adapter package reduced migration efforts for OpsWorks service by 66%.
• As part of the migration project, updated 7+ AWS services (DynamoDB, SWF, S3, EC2, CloudWatch, RDS, IAM).

Jul 2022 – Nov 2022 · 4 mos

• Worked in the reporting and analytics team (Ragnarok) of OpsGenie which managed the analytics being served to the engineering teams to gauge the service health and operational excellence.
• [OpsGenie Entity Migration - under the leadership of a senior engineer]
• Built data migration pipeline through which historical and real time data for Opsgenie entities is moved to databricks data lake in order to power the analytics through Atlassian Visualisation Platform (AVP).
• Implemented Capture Data Change mechanism to ingest real-time data generated by OpsGenie into the data lake.
• Bootstrapped historical data (cold data) from DynamoDB using PITR tables, ensuring uninterrupted production database availability.
• [Analytics Dashboard Performance]
• Analysed SQL queries for over 30 dashboards measuring the operational excellence of engineering teams via incident response time, alerts data, and service health.
• [SQL Tuning] Re-defined the SQL queries and tuned them to eliminate unnecessary data processing. This reduced slow queries (>15s) count from 40% -> 5%.

Jan 2022 – Jun 2022 · 5 mos

• Was responsible for both product and development work, which involved collaboration across data modelling team, data lake team, and Atlassian Visualisation Platform (AVP) team.
• Engineered processes to move OpsGenie service's real time and historical data to the data lake (Databricks) under the leadership of a senior engineer.

May 2021 – Jul 2021 · 2 mos · Bengaluru, Karnataka, India

• [IIV in OpsGenie Slack App - Intern Project]
• Implemented Incident Investigation View (IIV) features in the Opsgenie Incident Slack App which enabled on call engineers to retrieve deployment and commit data from Bitbucket reducing the mean time to respond to incidents by 45% and improving incident root causing time.

Mar 2020 – Apr 2021 · 1 yr 1 mo · Delhi, India · On-site

• Mentorship on Algorithms, System Design concepts and building fault tolerant systems:
• Mentored university students on algorithm design, crucial data structures, and optimization strategies.
• Covered system architecture and design essentials: cache implementation and cache optimization techniques, communication protocols: TCP, UDP, SSL, HTTPS & TLS, application layer architecture & design patterns, database replication strategies.
• Instructed students on scalability and resilience topics: asynchronism in distributed systems and messaging patterns using Kafka, availability and fault tolerance strategies.

Dec 2019 – Jan 2020 · 1 mo · Gurugram, Haryana, India

• Worked as a frontend developer intern at Veris:
• Focused on elevating user experience by optimizing website navigation, predictability, and responsiveness for web and mobile users of getveris.com.
• Optimized website navigation and responsiveness, resulting in a 37% increase in average session duration.