Sidharth S Email & Phone Number

Bengaluru, Karnataka, India

Noida, Uttar Pradesh, India

Boltic:- Developed seamless management of 500TB (35 billion records) data volume through ELT pipelines. Utilized AWS DMS, S3, and AWS Glue for AWS, and Datastream for GCP, to integrate various data sources (mongoDB, PostgreSQL, MySQL) into BigQuery.- Spearheaded the project Boltic Streams, replacing the paid third-party tool Segment with in-house ETL pipelines from Click Stream Data source to BigQuery. This initiative resulted in a substantial cost savings of $80K in monthly billing.- Achieved 10x scaling of pipeline throughput, leveraging Kafka and Kafka Connect. Optimized parameters to boost record processing speed from 1K/sec to 10K/sec.- Setup different monitoring tools like prometheus and Grafana Dashboards to get eyes onto the system. Also, have setup newrelic for Java Spring boot application.- Enabled real-time system visibility through Prometheus and Grafana Dashboards. Implemented New Relic for advanced Java Spring Boot application performance monitoring.Fynd Platform Analytics:- Architected and developed a robust Analytics Dashboard and Report screen from scratch using Vue.js, featuring 10 filters and a versatile framework for interactive chart components like Bar, Funnel, and Pie charts- Developed basic component charts which are been used by different other teams for their graphs as well. - Worked on the backend for Analytics graphs, which were powered by Java Spring boot Application querying from BQ (warehouse)

Gurugram, Haryana, India

- Optimized Webpack, reducing cold loading to 3s (size optimized to 750Kb from 1.4Mb). Implemented Progressive Web Application for faster hot loads.- Led the Frontend Team in merging three ecommerce websites into one, reducing infrastructure and maintenance costs by 55% and one-third, respectively.- Developed and deployed cloud functions on Google Cloud Platform (GCP).- Strategically orchestrated the seamless migration of orders data from Firebase to SQL, yielding a remarkable 13% decrease in monthly cloud costs

F-33/3 Okhla Industrial Area Phase-Ii, New Delhi-110020, India

Noida, Uttar Pradesh

- Enhanced page performance by 48% through socket.io implementation for real-time frontend notifications, replacing short polling.- Implemented ngRx state management, facilitating component modularization.

New Delhi Area, India

- Improved payment process efficiency by integrating RazorPay for online fee payments- Achieved a remarkable 40% increase in loading speed for Teachers and Parents' initial customized screens by optimizing Home Page APIs to leverage Redis cache.