Returnalyze is a Boston-based retail technology company specializing in returns management and analytics. Their cloud-based platform empowers retailers with data-driven insights to optimize returns, improve customer experience, and boost profitability.- Defined, documented, and implemented the overall architecture (backend, data pipeline, and infrastructure) for a highly scalable analytics platform supporting over 1 billion rows of data.- Developed a GraphQL endpoint using Flask… Show more Returnalyze is a Boston-based retail technology company specializing in returns management and analytics. Their cloud-based platform empowers retailers with data-driven insights to optimize returns, improve customer experience, and boost profitability.- Defined, documented, and implemented the overall architecture (backend, data pipeline, and infrastructure) for a highly scalable analytics platform supporting over 1 billion rows of data.- Developed a GraphQL endpoint using Flask, enabling efficient data communication with Postgres and Snowflake.- Created a robust Snowflake-based solution for our analytics API that dynamically generates efficient queries for massive datasets (over 1 billion rows) and improved query performance by 90%.- Automated CI/CD pipeline using CircleCI, reducing deployment time by 50%.- Led and mentored a diverse team of over 12+ engineers across various time zones, fostering collaboration, knowledge sharing, and innovation to deliver exceptional results.- Successfully transitioned ETL and API platform from Redshift to Snowflake using the Adapter design pattern, enabling a smooth client migration (one-by-one) for 10+ clients within a week.- Contributed to growing the client base from 0 to 20, including securing partnerships with 10+ multi-billion dollar companies.- Led a team in achieving SOC II compliance for the company, resolving critical technical challenges to ensure a successful audit. Show less

- Mediarails was about making it easy to find, recruit and manage influencers – form emerging micro-influencers to celebrity ambassadors.- Researched about moving infrastructure from AWS to GCP.- Backend Application development using JAVA for mediarails CRM (used by 250 active clients).- Used AWS lambda to deploy backend applications.

- Worked on a real estate project which was about enabling users to book vacation and rental homes andcondos. - Used reactJs on frontend, JavaEE on backend where we used JWT for auth token management, JPA as a ORM and postgres as a database. - Used autopilot for sending emails and also integrated DocuSign to programmatically prepare contract documents. - Independently worked on dockerization of web application and deployment to UAT and production… Show more - Worked on a real estate project which was about enabling users to book vacation and rental homes andcondos. - Used reactJs on frontend, JavaEE on backend where we used JWT for auth token management, JPA as a ORM and postgres as a database. - Used autopilot for sending emails and also integrated DocuSign to programmatically prepare contract documents. - Independently worked on dockerization of web application and deployment to UAT and production instances. - Oversaw architectural development of the application.- Worked on a US healthcare project which was about enabling nurses to work as per diem nurse. It was a platform that helped nurses to connect with organizations/hospitals - like Uber for nurses. - Used reactJs on frontend and Go on backend. We also used JWT for auth token management. - Used Mixpanel for tracking user behavior. We used the data to enhance the user onboarding and job application experience. - Used sendgrid to send emails. - Oversee overall architecture of the platform. - Performed security audit of the entire application and provided reports on possible attacks through SQL injection, XSS, Broken authentication, and so on.- Provided and implemented solutions regarding multi-tenancy.- Researched, implemented, and gave sessions on docker and unit testing.- Worked on other projects using the tech stack typescript, python and android apps. Show less

- Researched querying data on big data (Hadoop).- Built test data generator for dynamic schema. The users could add the schema in JSON format and query the database on the basis of the provided schema and custom language interpreter. We used ANTLR forcreating a custom language interpreter.