Sahil Bhatia
AGM - Backend Tech @ GoMechanic.in
About
Senior Software Engineer with experience in developing data platforms, microservices, and RESTful APIs using Python. I have expertise in deploying and managing multi-tenant applications using Docker and Kubernetes. I have experience in data production and consumption, ETL pipelines, and configuration management using Helm and Vault. I am also proficient in logging, monitoring, and alerting using Grafana, Prometheus, Kibana, and Slack. With a strong foundation in version control using Git and project management using Jira, I have delivered projects with rigorous documentation and testing. I have a B.E/B.Tech degree from Delhi Technological University (formerly DCE) and a software development internship at IIT Delhi. My previous projects include a multi-functional application for Autonomous Ground Vehicle, co-founding a self-driving car project, and developing a data acquisition and telemetry system for Formula Student competitions around globe. I am passionate about innovation and technology, and my expertise and achievements reflect this. I am always eager to tackle new challenges and continuously improve my skills. I am a self-starter and team player who thrives in high-pressure environments and tight deadlines. With a strong drive to continuously improve my skills, I am a self-learner and quick learner who takes pride in building applications from scratch. My ability to adapt to new technologies, strong collaboration skills, and self-motivated approach have allowed me to consistently deliver quality work as a team player. I am confident in my ability to take on new challenges and bring value to any project or organization.
India
Delhi
Computer Software
Microsoft Azure, NoSQL, Redis, Apache Kafka, Software Design, Software Infrastructure, Product Requirement Definition, Programming, Computer Science, Problem Solving, Object-Oriented Programming (OOP), Agile Methodologies, MySQL, Helm (Software), Distributed Systems, Amazon S3, Extract, Transform, Load (ETL), REST APIs, Linux, Docker Products
Experience

Tech Lead
Gurugram, Haryana, India
- Spearheaded the development of scalable backend infrastructure using Django, MongoDB, and REST APIs for an e-commerce platform serving both B2B and B2C customers, managing over 1,000 concurrent users on iOS and Android platforms. - Implemented authentication and authorization mechanisms to safeguard app pricing and enhance user experiences. - Single-handedly created a configurable notification service for order communication via SMS, WhatsApp, push notifications, and Slack for internal teams, reducing manual work by 40%. - Developed a promotional communication system enabling advanced scheduling of promotions and deals, resulting in a 20% increase in sales, a 60% increase in daily active users (DAU), and enhanced product catalogue visibility. - Engineered dynamic coupon and scheme systems, increasing sales by 15% and contributing to a monthly revenue increase from ₹10 million to ₹11.5 million, with a 20% increase in customer retention. - Independently managed deployment and ensured high availability and scalability of systems on GCP, achieving 99.9% uptime. - Streamlined content and customer management workflows by developing a CMS for bulk product uploads and image listing using CSV file and media buckets, reducing content management time by 40% and increasing product upload and update efficiency by 60%. - Provided seamless integration with third-party lead management systems through APIs, improving lead conversion rate by 30% and increasing lead acquisition by 20%. - Collaborated cross-functionally to address critical backend issues promptly, reducing issue resolution time by 50% and improving system stability. - Created Escalation Manager module, cutting resolution time by 40% and boosting customer satisfaction by 25%. - Improved mobile app experience with advanced search, reducing search time by 35% and boosting user engagement by 20%.

Senior Software Engineer
New Delhi, Delhi, India
- Developed Data Access/Data Insights Framework (DADIF) as a set of abstractions for data production and consumption in a unified way - DADIF aims to provide common tools for data consumers and producers to manipulate data to and from different backends - The goal of DADIF is to automate queries against AWS Athena in a reliable and reusable/template driven way - DADIF includes features such as auto-retries, logging, and configuration-driven functionality.
Sahil Bhatia's Contact Information
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