Dec 2022 – Sep 2023 · 9 mos · Greater Vancouver, British Columbia, Canada · Remote

• Led the vision, strategy, requirements, roadmap, and launch of Dash AWS “Installations” for 120+ B2B SaaS clients
• Launched “Easy Install”, “Trial Install” products to improve “developer experience” by 60%, and 90% respectively
• Performed 10+ interviews with customer success teams and customers to understand the 3 user personas (developer experience, system admin, manager), user install problems, and identified the critical requirements path (MVP)
• Collaborated with 5 stakeholder teams - C-level, Customer Success, Engineering, Marketing, and Documentation teams to communicate scope, and progress, escalate risk, and negotiate scope and launch deadlines
• Led standups, grooming with 8 Engineers to refine user stories, and acceptance criteria and prioritize/triage bugs
• Performed multi-cloud UAT on AWS, GCP, and Azure VMs with Redhat OS, and Ubuntu OS - for 22 install products
• Developed MVP prototypes & architectures using AWS CloudFormation, VPC Peering, Route 53, and AWS IAM

Jan 2022 – Dec 2022 · 11 mos · Greater Vancouver Metropolitan Area

• Led the vision, strategy, roadmap, execution, and launch for S&P Data loader tool, used by 1200+ B2B SaaS clients
• Launched Data loader features to increase data speeds by 200%, reduce installation time by 50% & improve security
• Reduced the MVP delivery time by ~50% by identifying and prioritizing the critical MVP path from the 35+ features in the product backlog
• Designed the user workflow diagrams, authored user stories that include UI/UX designs, API designs, and Acceptance criteria in the BDD approach in JIRA
• Partnered with 6 teams: customers, product managers, customer support & onboarding, documentation, and Engineering to manage dependencies and launch the Alpha (MVP) version of the Data loader tool
• Led a Scrum team of 8 Engineers during Sprints to refine epics, backlog, user stories, acceptance criteria, defects

Aug 2021 – Dec 2021 · 4 mos · Bangalore Urban, Karnataka, India

• Successfully led a cross-functional “Hbase Data Compliance” project for an AI/ML product by collaborating with 6
• Engineers, 3 QA, and 4 stakeholder teams in ~30% less time within a month of joining
• Managed dependencies and mitigated risks across engineering and networking teams to provision Hbase Clusters and enable cluster data migration
• Developed project charter, project schedules, and budgets (Cloud, FTE) for MMX AI tool for Merkle Australia clients

Dec 2019 – Jun 2021 · 1 yr 6 mos · Bengaluru, Karnataka, India

• > Led the vision, strategy, roadmap, technology and launch (GTM) for WildTrails travel and Fashion sites
• > Translated strategy to product backlog; used Scrum to deliver and launch increments to market
• > A/B tested and launched multiple versions of WildTrails travel website to achieve a $M mark revenue
• > Increased user sign-ups by XX% by launching features such as “free jungle PDF downloads”
• > Achieved XX% user growth by leading SEO, SMM, Google Ads, Email marketing strategy
• > Worked with cross-functional teams - sales/ops, marketing, management - to define roadmap and fix issues
• > Launched WildTrails fashion site, as part of revenue generation during Covid
• > Setup end to end process to automate fashion store operations: vendor management, inventory management, stock updation, customer purchase, shipping and refund process, vendor payments etc
• > Conducted Competitor/SWOT analysis in travel eCommerce space; made investment presentations
• > Data-driven strategy: used Google analytics to derive Web traffic metrics and increased conversions
• > Built Mobile-first wireframes/UI prototypes with detailed edge-cases
• > Managed tech, marketing teams in Scrum; 4 people - 2 developers, 2 marketing
• > Daily activities: Product strategy, vision, roadmap, A/B tests, Agile, Code reviews, Test cases, QA, SEO, SMM, SEM, Google analytics

Aug 2018 – Jun 2019 · 10 mos

• TPM-2 with Travel Agent Affiliation team within Expedia Group
• Help resolve/build the software problems/platforms that our customers (brick-and-mortar travel agents) face day-to-day
• Delivered live-site features such as Flexible Deferred Payments, Ground Transfers tab etc for Expedia TAs
• Reduced release-to-market time by detecting and delivering MVPs as part of 1st iteration
• Released features under tight deadlines by proactively strategizing with developers
• Got features tested in Pre-prod and Prod environments with detailed edge-cases for a quality release
• Fixed live-site issues by acting as an interface between Business, Engineering and Tech Support teams
• Triaged and prioritized Customer Support issues/ Work backlog before they reach developers
• Communicated risk to the Management and Product teams in case of delay in delivery
• Conducted sprint grooming, planning, demo and reviews at a bi-weekly cadence
• Visited customers (Travel Agents) on field trips to know the ground-level picture of our business

Dec 2017 – Aug 2018 · 8 mos

• Worked on ranking/grading the 5000+ applications in Expedia ecosystem on how good they are with their DevOps maturity model. Wrote a java application for this.
• Experience working with AWS SQS, Lambda, SNS, Cloud watch and other AWS environment components
• Wrote applications in NodeJs and Java to automate the work streams in DevOps space and to make the applications comply with security constraints.

Jul 2015 – Dec 2017 · 2 yrs 5 mos

• On-prem:
• Create datalake by implementing data pipeline from Rest API(Service Now) to HDFS
• Implement Hadoop merge strategy in Java for daily updates
• Build Datalake Health Dashboards using HighCharts and Angular JS
• Automated the daily ETL Devops and Data validation checks using Java
• Implemented and fixed SQL Cubes, SQL queries, Stored procedures and Bulk data loads on MS/MySQL
• AWS:
• Built Cloud Datalake using S3, EMR, DynamoDb and Lambda
• Feed data into Elastic search using Java Bulk import to analyze Knowledge Data
• Use Kinesis Firehose to stream Service Now data from Rest API to S3
• Azure:
• Automated daily ETLs from on-premises Hadoop to Azure Blob
• Pipeline Blob data into Datalake using Data Factory

Mar 2015 – Jul 2015 · 4 mos

• Supervise and fix HDFS, Hive, Flume Clusters and MapReduce jobs using Ambari and Hue
• Key technologies include Linux, Shell Scripting and Hive Query Language

May 2014 – Aug 2014 · 3 mos · Bellevue

• Performed ETL of Expedia payments data using Apache Storm (Java)
• Stored processed data in HDFS and implemented Hive (NOSQL) queries to retrieve data
• Developed real-time streaming dashboards (using Highcharts) to see transaction outliers
• Implemented client-server communication using Java to send data to dashboards
• Developed JUnit tests for unit testing and dependency injection using spring

May 2014 – Aug 2014 · 3 mos · Bellevue

• Parse log data (2.36GB) using Python
• Develop data visualizations using HighCharts and D3.js
• Visualizations include Pie charts, Geo Maps, Bubble Charts, 3D Column Charts, Responsive widgets
• Developed visualizations using HTML, JavaScript, jQuery, AngularJS, CSS

Jul 2013 – Dec 2014 · 1 yr 5 mos

Jun 2011 – Jul 2013 · 2 yrs 1 mo · Greater Hyderabad Area

• Fixed bugs, resolved tickets and maintained code in C language
• UAT on linux
• Prepared product specification documentation