Leading the engineering org for AWS Glue and Amazon AppFlow. - AWS Glue is a fully managed serverless data analytics service that makes it simple and cost-effective to integrate data from large number of data sources and prepare the data for use in AI/ML/Data pipelines. - Amazon AppFlow allows customers to securely transfer data between SaaS applications and AWS services.Responsible for the Data Integration product suite of services for AWS:- AWS Glue ETL (based on Spark, Python, Ray.io)- Zero-ETL - Managed replication of data into data lakes- Providing connectivity to a large number of AWS and non-AWS data sources- Data Quality and Sensitive data detection product suite- Generative AI for data integration, across AWS Glue and Amazon EMR- Data movement from SaaS applications to AWS data-lakes and data warehouses- Leading teams across Bay area, NYC, Seattle, and Vancouver- Responsible for 125+ people, in addition to 125+ contractors- Leading business strategy, R&D, operations, product (dotted-line), infrastructure P&L and Opex budgetKey Notables:- Built and scaled out the first AWS Analytics serverless platform that launches Spark clusters in seconds- Led multiple products in Glue umbrella from inception to a large ARR- Built mechanisms to scale operations, infrastructure, and turn the product net margin positive- Unifying data source connectivity across all of AWS AI/ML/Data- Leading innovations in use of NLP for generating data pipelines- Built the first analytics platform, based on Firecracker, for ultra-low latency analytics- Running a high performing engineering organization, focused on business value & impact

Responsible for Infrastructure that runs Uber’s stateless services, Machine learning workloads (GPU/CPU), Data analytics workloads & Autonomous driving team’s Infrastructure- Unified islands of Compute infrastructure across business units- Scaled the platform 20x, across 7+ Availability zones- Built innovation distributed systems, open-sourced a few- Managing multiple teams, including managers and Sr Staff engineers.- Led teams across 3 geographies- Raised the bar on reliability and feature velocity, while enabling hockey stick growthKey distributed systems built by the team:- Peloton - https://eng.uber.com/resource-scheduler-cluster-management-peloton/- Makisu - https://eng.uber.com/makisu/- Kraken - https://eng.uber.com/introducing-kraken/- CLM - https://www.usenix.org/sites/default/files/conference/protected-files/lisa18_slides_bercovich.pdf

Drove breakthrough innovation in Security software for the Public Cloud. Built network and storage services that run transparently in AWS, GCP & Vmware environments.Responsibilities:- Data plane services- Driving solutions with Fortune 100 customers- Multi-cloud platform (AWS, GCP, Vmware)- Build high performance teams and growing leadersLed technology areas of:- Transparent service insertion in data path- Network Segmentation and traffic encryption- Storage encryption & storage services

Business leader with ownership of Product, development and customer evangelization.Played the role of a catalyst in networking innovation, by proposing and building Enterprise products in the area of Software Defined networking (SDN).- Built and led a team of developers and managers, spread across California, Massachusetts & India- Work regularly with the CTO team at Juniper to translate company direction into technologies thatthe company should be driving.Led the SDN software development at Juniper.- Led the development of PCE and OpenFlow in a startup-like-manner within Juniper.- Led cross-industry work in IETF I2RS WG towards the future paradigms of programmatic control of network devices from external controllers.Did detailed design of Juniper's automated Traffic Engineering solution (TE++) and actively evangelized/marketed it with customers.

Engineering manager for MPLS (RSVP-TE, P2MP, LDP, MPLS-OAM) software development.Technical lead for MPLS/BFD areasActively led (from day 1) and managed technical work done as part of Juniper’s Joint Venture with Nokia Siemens Network.Co-built technology solutions with customers like AT&T, Verizon, Google, Comcast & NTT. Author of multiple internet protocol drafts in the IETF.

Protocol and protocol infrastructure developmentInvolved in IETF in standards workKeywords: MPLS, MPLS-OAM, BFD, distributed packet processingSingle-handedly designed and implemented an infrastructure for distributing control-plane protocol functionality to the line cards of routers. Distributed BFD operations were done aspart of this. Subsequently guided various other protocols towards distributing their protocol functionality.

Embedded system kernel developer in storage industry.Protocol development: NDMP, CIFS, Backup-Restore, SCSI, Fibre Channel.

File system kernel level engineer for NAS virtualizationproduct. Author of many user-level networking daemons.