- Spearheading the strategic redesign of our data infrastructure as lead engineer, leveraging cutting-edge technologies (Apache Iceberg data lakehouse, AWS DMS for CDC, AWS MSK for streaming non-database events, Snowflake external tables for optimized querying, Athena for ad-hoc analytics) to create a next-gen data ecosystem that powerfully serves our evolving data science and advanced analytics needs.- Driving the development of critical infrastructure enhancements, including automated Parquet compaction workflows, seamless integration of DBT and Spark for enhanced data transformation capabilities, and the migration of long-running analytical workloads from Snowflake to an optimized Spark cluster on Kubernetes - unlocking unprecedented scalability, performance, and flexibility for our data science teams.- Evaluating best-in-class data lakehouse solutions and automated compaction services to further accelerate time-to-value and operational efficiencies for our data platform.- Collaborate closely with DevOps to ensure the smooth rollout and monitoring of all infrastructure components, while also developing user-friendly enablement tools to empower backend teams to quickly publish events directly to the Iceberg data lake.- Provide technical leadership and mentorship to junior engineers on the team, while also evangelizing the transformative data platform and its capabilities across the organization to drive widespread adoption and data-driven decision making.

- Designed and developed mission-critical subsystems and infrastructure components for the 2.8 billion event-per-day batch data pipeline, including the model scoring component that generates 1.1 billion predictions from 20PB of input data (GCP, Apache beam, ML Scoring, AB Testing)- Implemented robust monitoring and alerting systems to proactively identify and mitigate service disruptions, safeguarding millions in revenue- Pioneered custom Gale-Shapley matching algorithms in Scala to optimize event-user pairing based on model scores and business priorities, enhancing the effectiveness of marketing campaigns- Mentored and onboarded 3 engineers, accelerating their productivity and fostering a collaborative team culture- Collaborated cross-functionally to ramp up a simulation team, enabling data-driven predictions of the impact of new campaigns, experiments, and models before deployment

- Worked as a lead engineer for the Data lake Team, driving the design and implementing a data lake for the company from scratch.- Worked with the core platform team for redesigning the data onboarding, using CQRS fundamentals. Tools used: Kafka, AWS Lambdas, Java based microservices.- Designed and developed server-less endpoints powered by AWS, for receiving large volumes of data from IoT devices, normalizing the data and feeding it to Data lake, led to 100K cost savings per year.- Stepped in as dev lead, and a bridge between 2 teams to Integrate ML prediction model training and prediction generator with core data, one of the most important product releases for the company in 2017.

- Worked on developing components for Lightning applications using Salesforce Aura Framework(Javascript) and making any required changes on the backed side(Java)- Triaging and fixing production bugs in the weekly release cycle.- Part of the team that delivered rules engine to dedupe accounts, contacts, opportunities(Majority of the work on the front end side, and fixing bugs with dedupe fuzzy match implementation)- Developed a kitchen sink application to isolate individual components on a HTML page to test it in isolation. These components were part of a web based IDE that was used for developing a dashboard for Analytics application.- Part of the V1 team that delivered the new Analytics platform for salesforce(Wave).

- Designed and developed automation framework and test cases for Mediaroom Streaming adapter and Client (Backend: C#, Frontend: iOS Hybrid Application, HTML, CSS, JS).- Developed infrastructure for iOS app packaging and distribution, for which created and developed the intranet site to authenticate a user and allow test app install on iPad wirelessly. This enabled generation of daily builds of apps, and uploading it to a shared intranet site, which allowed easy app installation for everyone in the team.- Created JSON based web service and client code so all app crashes, from beta testers, manual testing, automated testing, etc. from all users are automatically logged to Database(SQL Server) without any manual intervention. This helped in identification of crash causing bugs, and thereby improving the overall stability of the app.- Extending selenium webdriver for testing next generation Mediaroom set top box, Mediaroom apps.Bug fixing for legacy components like DVR Pause buffer and Blackout.- Mentoring junior members of the team

-Part of web client team working on web version of MindManager software. -Worked on developing ribbon menu bar for web version of mindmanager application-Developed Sharepoint plugin (web part) for integrating mindmanager web version (flash application) into sharepoint.C#, SQL Server 2005, Visual Studio 2008, Fiddler, NUnit, Selenium, IIS server, Selenium Grid, JIRA, Perforce

- Designed and developed proof of concept models based on new business ideas for SOHO IP- PBX.- Bug fixes, IP-PBX feature development

- Developed product management skills under the guidance of top management team of the company.- Actively involved in the interactions with Clients to identify requirements, and with OEMs to get issues fixed.- Design and implement various network configurations to demo the product to clients.- Worked on product related documentation like feature guide, interoperability documents, evaluation guides, test plans, etc.