May 2023 – May 2024 · 1 yr · Bangalore Urban, Karnataka, India · On-site

• Leading the team which is working on Optimising the ETL pipelines

Nov 2021 – Mar 2023 · 1 yr 4 mos · Bangalore Urban, Karnataka, India · On-site

• 1. High Impact team: Created high impact team with new joiners who are having zero context of the product and tech in the company.
• 2. Unacademy as Marketplace: Launched a product within 4 weeks which enabled unacademy as marketplace for the educators (Product was able to generate revenue of 2.5 Cr in 2 months of launch)
• 3. Stablisied Release Process: Shifted the release process from late night to day time which resulted in
• better work life balance of team.
• Better post deployment monitoring.
• Distributed Responsibility.
• 3. Efficient Process: Changing Process for better efficiency and predictability.
• 4. Data Observability: Introduced observability around data-pipelines and data distribution. Making data platform more stable.
• 5. Keeping the bar high: Highly involved in the design reviews and making sure we are keeping the tech excellency bar high for better quality.
• 6. Cost Optimization: Optimised cost of Data Engineering from 2,00,000$ monthly to 80,000$ monthly

Mar 2020 – Nov 2021 · 1 yr 8 mos · Gurgaon, Haryana · On-site

• 1. High-Quality User Facing Product: Created product from scratch having features
• Inhouse implemented multiway video conferencing UI
• Optimised for SEO. Page scores 90+, Dynamic SEO tags
• User progress management system on the product itself
• 2. Feature Rich in-house tools: Highly functional in-house product for various teams
• Complete Lead Management System with Lead funnel summary for the managers and other stakeholders
• Ablility to solve complex Ops problems like creating 200 classes in one go, and shifting 100 of classes by a day through one click.
• Content management system - Central repository for all the content used
• 3. Team Building: Hired 15 people across tech, product, design, and analytics

Dec 2017 – Feb 2020 · 2 yrs 2 mos · Gurgaon, Haryana

• 1. Aerospike Ruby Client: Implemented a feature(batch_index) in the aerospike ruby client (as needed by us). The code is merged and i am accepted as a contributor in the repository.
• Solr major upgrade: Upgraded solr from version 4.4 to 6.6 without zero downtime and full consistency
• 2. Athena Query Interface: Created Interface for querying Athena enabled data limit and user access on Athena using that interface.
• 3. Stabilized website autoscaling: Identified and Resolved various bugs in website autoscaling which resulted in lower infra cost by 40%.
• 4. Reports DAG creation interface: Created interface which can be used by analytics team for creating dependent reports using DAG (Directed Acyclic Graph). The DAG is scheduled in Airflow at the backend.
• 5. Cost Optimization: Optimised cost from 1,40,000$ monthly to 80,000$ monthly
• 6. Spot Management Tool: Created a Tool in django to manage the spot instances optimized for cost and stability.

Jun 2015 – Nov 2017 · 2 yrs 5 mos · Navi Mumbai India

• 1. Analytical Engine: Developed a Scalable, robust, and distributed Generic system from scratch for capturing various kinds of events on website and performing descriptive, predictive and real time analysis.
• Captures 200 e vents/sec with average latency of 70 microsecond.
• Real time analysis of data for user profiling (used for ad targeting and seen an increase of 30% CTR
• (Desktop) and 50% CTR (Mobile)).
• Technology used: Cassandra, spark, scala, RabbitMQ, golang, grpc and protobuf.
• Around 20 GB of data is ingested in system everyday.
• 2. Continuous Deployment: Streamlined deployment process by developing continuous integration tools and completely automated the release process.
• Technology used: GOCD, Jenkins, python and batch scripting.
• Deploying on production servers is completely autonomous making it error free deployment.
• Have a automatic revert mechanism
• 3. Web Crawling: Crawled different OOEM’s website to get the price of cars citywise.
• Technology used: Scrapy.
• All the Crawlers are in production and used regularly to get the updated price.
• Used almost every feature of scrapy like Throttling, using custom middleware, providing rotating Ips using tor, Custom Pipelines.