Jan 2018 – Oct 2019 · 1 yr 9 mos · Greater Munich Metropolitan Area · On-site

• Leader in innovative transportation solutions catering to last mile problem in Europe.
• We believe transportation is moving away from personally owned transportation means towards mobility as a service solution. Windx aims to eliminates the idea of maintaining personal parking and maintaining personal vehicles which makes moving from one point to another easier and efficient than ever before.

Oct 2017 – Jan 2019 · 1 yr 3 mos · Europe · On-site

• Worked across a diverse range of industries and projects, enabling clients to ingress on their Big Data journey.
• Worked with worlds largest Re-insurance and insurance clients in EMEA.
• Conducted Global workshops on Spark, Map Reduce and Hive to accelerate the adoption of the Big Data Solutions.
• Managed a team of 5 consultants to accelerate business and tech growth.
• Played key role in stabilizing the Hortonworks Data Platform at the client by finding a Memory leak issue with Hive Thrift server (HIVE-20192) after a deep dive and thorough analysis which had a direct impact in making a ~10 Million Euros Data Lake project a success.
• Stablizing Hive thrift server had a global impact among all the Hortonworks Data Platform customer using Hive as well as the open source community hence having indirect Multi Billion Euros business impact globally.
• Solving the memory leak issue of Hive Thrift server helped in a successful integration of SAS and Informatica with HDP, thus benefiting overall data processing ecosystem and impacting revenue ranging in Billion of Euros globally.
• Engaging with organization leaders to demonstrate Proof of Concept (POC) using state of art Hortonwroks Data platform.
• Empowering management to transition from traditional outlook to modern data architecture usage.
• Training teams about the big data tech stack , intricacies involved and various stages from architecting, development , testing to implementation of complex distributed production environments
• Enable teams to adopt and use right set of big data technologies to scale up.
• Use case development and job performance optimization.

Jun 2016 – Sep 2017 · 1 yr 3 mos · Berlin Metropolitan Area

• Glispa Global Group is a mobile ad tech pioneer, empowering clients to activate global audiences and move markets. The most unique aspect of Glispa is its ability to work in Performance domain and yet able to generate revenue over 100+ Million Euros. Glispa started as a media agency and successfully scaled to adopt Data Management Platform to enable advertisers to better understand, target and choose their audience. The DMP that came into existence was known as Glispa Audience Platform which served as the central component connecting various units of Glispa namely Adserving, DSP, SSP, account managers and various other business units. The main challenges which I tackled in the short period at Glispa includes.
• Deep Dive into Spark, Map Reduce, Druid , YARN, Oozie and HDFS.
• . Lead a team of 7 developers in Designing, implementing and optimizing Glispa Audience Platform handing 500M events daily (2TB ).
• Providing multiple Big Data talks in the organization to accelerate the adoption of big data.
• Helping the Team in Designing and optimizing Glispa Audience Platform.
• Data Analysis to find frauds and analyses quality of data.
• Decreased the overall latency of the data feedback loop from 10 days to 6 hours.
• Decreased Aerospike cluster from 12 nodes to 2 Node resulting in huge financial savings.
• Introduced Idea of data Driven development which involved "Analyzing data to validate the
• effectiveness of a product, campaign both in real time and ability to forecast".
• Introduced Plethora of domain and business knowledge in Glispa acquired from my
• previous experience in ad tech.

Jul 2015 – Jun 2016 · 11 mos · Bangalore

• Built the next generation near real-time geo-distributed user platform that ingests ~10 billion events daily from 1.5 billion unique users interacting with Inmobi network. Solved multiple complex challenging problems around user hygiene, identifying high quality user signals from noisy data.
• Team building : Designed and Boot strapped Ads Recommendation platform to a 22 members team increasing org profit by 15%. and helping Inmobi grow from a startup to unicorn.
• Designed and architected multiple critical components of user platform, having direct revenue impact in online consumption path.
• Designed Audience targeting platform which able to identify user intent enabling intent- based targeting increasing revenue by 30%.
• Leveraged big data to develop a diff tool on user profile data, resulting in replicable profile data payload size decreasing to 250 GB from 10/day and increasing the profile refresh rate from 6 hours to 30 mins.
• Being the pioneer in the org for the data team wore multiple hat which includes product manager, Lead Developer, business analyst, Tester, DevOps and cross team collaborator.
• Revamped and introduced incremental mode of user targeting profile generation, replication and population across multiple clusters. Drastically improved performance by orders of magnitude.
• Comparative evaluation of various NoSQL stores (Aerospike, Cassandra, HBase) for low-latency and high-throughput use-cases at scale. Key influencer in architectural decision making.

Feb 2012 – Jul 2015 · 3 yrs 5 mos · Bangalore

• Inmobi Serves around 10 Billion request daily and has an active user base of 1.5 billion unique users generating PetaBytes of Data. User platform at Inmobi powers multiple business lines to build user profiles and achieve user based ad-serving hence enabling multiple cases for m-commerce, user retargeting, segmentation, app download, brand and data sciences.
• Being the First developer in the USER team of InMobi provided the unique opportunity to
• directly impact business outcomes using Big Data Solutions. Have worked extensively in
• architecting, developing, testing and deploying Recommendation solution at PetaByte scale.
• Have excellent understanding of the Hadoop architecture, map-reduce paradigm, Hbase,
• Thrift service, Spark, Kafka.
• Extensively worked on Distributed Key Value stores (Hbase,Aeropike) at InMobi.
• Worked on optimization of Batch User Profiling MR job.
• Was part of design/execution of data processing pipeline to process ~100 TB of data in a day.
• Designed User Profile Extraction data pipeline to extract “user information” from
• Ad-serve logs. The data pipeline was able to extract information for 1.5 Billion users on
• daily Basis using tools like Map Reduce, Pig, Kafka, Aerospike and oozie.
• Have built the backed data pipeline for data products which are used for
• add targeting based on user-history, user-geo-location, user retargeting and user-inventory.
• InMobi being in the startup phase then required one to have lot of dedication, on-demand
• work, team driving ,team binding and leadership attitude in order to deliver data driven
• products. As and when required I have demonstrated each of these qualities in order to
• deliver the product to the customers.

Jul 2010 – Jan 2012 · 1 yr 6 mos

• Worked in Performance Analytics Team which builds a geo-districbuted tool for web site
• performance metric analyzer known as Site-analyzer. Site-analyzer is a geo-distributed
• web crawler and in the process of crawling gathers performance metrics of given websites.
• The complete code base is written in C/C++.
• Architected and developed a "YARN" like module for Akamai which was used for distributed
• compression of Video files, which can be used for seamless streaming to mobile devices.
• Worked on Load balancing module and optimized the code flow to support affinity among
• the load balanced agents.
• Modified DNS resolver (Akamai in house implementation) to support IPV6. Modified
• DNS packet structure for AAAA query and parsing IPV6 address in response.
• From scratch developed Watermarking framework for logs flowing from Akanote network
• to DNA network to improve security and detect any compromise of agents in Akamai Network.
• Implemented scheduler logic of site-analyzer in order to gather performance metrics from
• Mozilla-Firefox.
• Understood the architectural perspective of Site-analyzer and how object oriented language
• like C++ enables one to map the architecture to a working product in the most efficient way.
• Exposure to time critical code such as load balancing and IPV6 Dns resolver helped me
• understand memory layout of C/C++ programs and how to perform memory optimizations.

Jan 2010 – Jan 2011 · 1 yr

Mar 2009 – Dec 2009 · 9 mos

• Bridging the gap between industry and academia.

Oct 2008 – Oct 2009 · 1 yr

• LSI designs semiconductors and software that accelerate storage and networking in data centers and mobile networks
• Proposed a new thought regarding design of racks.
• Part of the team to automate the complete Testing Process
• Have a good understanding about the usage of switches (performed Zoning).
• Good technical know how about storage tech.