Nov 2023 – Aug 2024 · 9 mos · Bengaluru, Karnataka, India · On-site

Sep 2023 – Nov 2023 · 2 mos

Aug 2022 – Apr 2023 · 8 mos · Bengaluru, Karnataka, India · Hybrid

• Led the integration efforts and multi-tenancy architecture for configurator experience of the digital retail product.

Jun 2021 – Aug 2022 · 1 yr 2 mos · Bangalore Urban, Karnataka, India · Hybrid

• Leading the CDC processing & reconciliation components in the data ingestion process
• Managing the process / people to deliver the projects by working with principal engineers,
• product managers, engineers
• CDC Processing: (tech stack: java, Microservices, oracle golden gate, debezium, kafka connect, aws, kubernetes, apache beam )
• This component provides change data capture functionality from the source databases like
• postgresql, mysql, oracle etc
• For all source databases except Oracle, the debezium based kafka-connect architecture is
• followed to fetch the CDC events, schema validation and processing
• For Oracle bases sources the Oracle Golden Gate Adaptors are used to process the incoming
• trail files
• Managing the performance improvement & modernization of the tech stack with automated
• deployment & orchestration using Kubernetes
• The component includes 200 pipelines ingesting data for 10K tables
• Reconciliation: (tech stack: kafka-connect writer, apache spark, hive, tidal, aws EMR)
• This component provides the reconciliation of the change events with the snapshots and
• generate new snapshots
• Batch based processing using Tidal as the scheduling agent to trigger jobs dependencies
• Modernization of the tech stack in progress to move away from EMR based models to Spark
• on Kubernetes model
• Processes the CDC events as well as the direct sourcing from source databases, files etc.
• Automated parity detection by sampling or full table parity of the data with source databas

Feb 2020 – May 2021 · 1 yr 3 mos · Bengaluru, Karnataka, India

• Leading the all development activities in Machine Learning Development Squad.
• Coordinating with various stakeholders – AI, Dev, DevOps, Test, Product Managers to build solutions from ground up.
• MLDI squad: Worked on a building a platform to ingest / process large (> 100K) datasets for
• ML training
• Create DerivedData Service to ingest/process TBs of data with highly scalable deployment
• architecture in AWS.
• Create custom sagemaker image (with python client code) to load/store data into the derived
• data service
• Implemented support for data wipeouts of PII data in real-time using lambda functions
• Overseen the deployments of services in AWS Fargate and related infrastructre.
• The above solution was able to achieve 5-9 ms latency for storing / retrieving large datasets
• for ML training needs.
• Tagging Infra squad: Worked on building / enhancing Tagging Infra platform
• Working on a service to support tagging related use-cases which will enable pushing data
• from various other services and enable ML training requirements.
• Designed the system for moving a key service from production to sandbox with a lot of
• service level dependencies.
• Fraud Database: Worked on building a fraud database for ML use-cases
• Designed & Built a fraud database for ML use-cases.
• Designed the service, data retention & wipeout use-cases
• Mentored junior developers to guide them with low level designs, performing code reviews focusing on scalability, availability of the services.

Aug 2016 – Feb 2020 · 3 yrs 6 mos · Bangalore

• Working on a platform for pre-trading decision system support platform for Gas, Power, Energy sectors.
• Platform mines data from more than 50 sources and processes data in real-time for gas, power, energy, weather.
• I was involved in the complete full scale migration of the platform from Oracle database into the bigdata technology stack using real-time & batch based feed processing. Also wrote several algorithms for computation of the real-time timeseries aggregations of the feed data to be used by the front office analysts.
• Migration of the stack in datalake into HDP 2.6 which currently runs in production.
• New design & changes for implementing new features in datalake to support the existing platform.
• Developed a Alexa chatbot use-case to mine data from Power sources.

Oct 2013 – Aug 2016 · 2 yrs 10 mos · Bangalore

• Worked on the OTC derivatives platform for FX & Commodities.
• Extensively worked on the commodities side of the business, collaborating with the upstream and many downstream systems to deliver multiple new features in the commodities space.
• Worked on the regulatory reporting features for both FX & Commodities for different jurisdictions CFTC, ESMA, NSD, REMIT, HKMA etc.
• Worked on reliable/efficient data archiving & warehousing of the OTC products from the OLTP systems into the OLAP. Aggressive warehousing ensured smaller size of OLTP database for better functioning of the platform.
• Delivered a workflow processing engine for errors/exception reporting using bpmn workflows and elasticsearch, kafka messaging systems.

Sep 2011 – Oct 2013 · 2 yrs 1 mo · Bangalore

• Worked on the Oracle SES ( Secure Enterprise Search ) crawling framework to enhance the XML connector. XML connector is the touch point for different Oracle products like Siebel, Fusion Middleware, E-Buiness suite, PeopleSoft, WebCenter, Stellent/UCM.
• 1. Added feature for diagnostics / error tracking during the crawl life-cycle to report the status of the crawl from the point of failure.
• 2. Enhanced the SES touch point with products to support various authentication schemes like ORASSO, FORM, NATIVE for uploading the crawl status feed.
• 3. Added the feature in product to enhance the crawler cookie handling.
• 4. Performed crawl fetch throughput benchmarks and improved SFTP based crawling performance 2x times.
• 5. Improved the fetch throughput for the pre-fetch scenarios for hierarchical XML feed.
• Distributed Crawler:
• 1. Enhanced hierarchical XML connector to scale-out for distributed processing of data.
• 2. Designed a distributed blocking queue implementation.
• 3. Enhanced XML connector for distributed pre-fetching/recovery use-cases.
• Push Crawling feature of SES:
• 1. Integrated with the management & administrative tools like Oracle Enterprise Schedules Service (ESS), central credentials storage framework (CSF) for crawl to be managed by the SES admin.
• 2. Enhanced performance to crawl millions of documents running for weeks.
• Worked on Oracle Cloud Search Solution:
• 1. Worked on SEaaS, SFaaS deployments of search as service solutions.
• 2. Worked on the product lifecycle management for patching/rehydration/scale-out cases.
• 3. Created integration APIs for monitoring of node health/service health via EM.
• 4. Wrote scripts for service level configuration of parameters like load/data size etc.
• Windows Native Authentication:
• 1. Enhanced the existing solution to be ported to the SES Single-sign-on framework.
• 2. Added integration support with weblogic middleware stack for ease of use and manageability.
• 3. Designed the features to work on both SSO/non-SSO env.

Feb 2009 – Sep 2011 · 2 yrs 7 mos

• Worked on Data Transfer product to support many enhancements - filtering rules, advanced & custom attribute support.
• Developed the auto-responder module from scratch to integrate with ExactTarget (ESP). Developed auto-responder to integrate with existing campaign-IO & developed a common framework to support multiple ESP. Worked on developing the email creation module by working closely with UI developers.
• Worked on stats collection for ESPs open/click/sent counts etc to run on daily basis reliably.
• Worked on Campaign Monitoring System to track down campaigns based on multiple threshold rules.
• Worked on Encrypted Data Transfer modules to support various encryption techniques for various modes of transfer like http/ftp/email.
• Worked on Android SDK development for ads developed on html/javascript.

Aug 2008 – Jan 2009 · 5 mos

• Worked on B2B product for flights to support rule based service charge.
• Worked on ease of use for business user to support excel based rule definitions.
• Worked with the flights team to support easier integration.

Apr 2007 – Mar 2008 · 11 mos

• Worked on development of optimization algorithm for seat allocation for UFO, FRO products.
• Worked on customer system integration for retrieval & updation of PNR data. Worked with product team to implement algorithms for integrating pax data & flight route schedules.
• Worked on improving the UI technology by using struts template engine.
• Worked closely with test team to design test cases for the optimization algorithms for UFO/FRO.