Oct 2023 – Aug 2024 · 10 mos · Bengaluru, Karnataka, India

• ➤ Architected and implemented an Event Analytics Framework designed to process over 50 million events daily. Leveraging AWS Kinesis, Redshift, and S3, this system efficiently captures, processes, and analyzes diverse data points from multiple sources. The framework plays a critical role in transforming raw data into actionable business insights, enabling organizations to make informed decisions and drive strategic advancements. This solution emphasizes scalability, reliability, and cost-effectiveness, addressing complex data needs in a dynamic business environment.
• ➤ Direct Mapping Project: Built a system to match student leads from the website with the most suitable teachers using a scoring model based on preferences and performance metrics. Integrated data from Amazon RDS and Redshift with AWS Glue, processed it using Pandas, and applied a model to evaluate and rank teacher-student pairings. The top 20 matches were stored in S3, with notifications sent via SQS to trigger the selection process on the app.

Jul 2022 – Sep 2023 · 1 yr 2 mos · Bengaluru, Karnataka, India

• ➤Data Ingestion Framework: Developed an automated system to sync production data from Amazon RDS (Postgres) to Amazon Redshift, replacing the costly and manual Amazon DMS solution. Utilised a YAML configuration file for flexible table management, and employed AWS Glue for data ingestion, handling complex data types with Redshift’s SUPER type. Implemented a masked view approach to protect sensitive (PII) data, ensuring that BI tools only access anonymised data. This solution allows developers to easily add new tables without Data Engineering intervention, significantly reducing costs and improving efficiency.
• ➤ Redshift Workload Management and Role-Based Access System: Implemented Redshift WLM to optimise query performance and resource allocation, while introducing a role-based access system to secure data and tailor permissions for analysts, finance professionals, and engineering teams. Enhanced performance, ensured secure data access, and provided customised permissions to meet diverse user needs.

Apr 2022 – Jul 2022 · 3 mos

• Client: Uber Adtech
• Key Responsibilities:
• Data Extraction and Improvement: Developed plugins for ad data extraction, focusing on enhancing data reliability and efficiency.
• Pipeline Design: Designed scalable data pipelines for improved accessibility and reliability of ad data.
• Infrastructure Maintenance: Built and maintained data infrastructure to ensure optimal performance and data integrity.
• Team Collaboration: Contributed to code reviews, mentored junior engineers, and fostered a collaborative environment.
• Data Integration and Quality: Integrated data from various sources into Hadoop, implementing rigorous monitoring and quality checks.

Oct 2020 – Mar 2022 · 1 yr 5 mos

• Client: Uber Rider, Uber Transit
• Key Responsibilities:
• Stakeholder Collaboration: Engaged with multiple stakeholders to understand their needs and deliver tailored insights and dashboards.
• Data Pipeline Optimization: Monitored and validated data pipelines to enhance reliability and performance, using DFDs and Python-based ETL pipelines.
• Application Development: Developed scalable applications within the Hadoop Ecosystem to support distributed data processing.
• Recognition: Received the Nineleaps Spotlight Award for outstanding performance on the project.

Aug 2019 – Oct 2020 · 1 yr 2 mos

• ➤ Developing pipelines for extraction of data from a wide variety of data sources.
• ➤ Working on the implementation of ETL and data processes for structured and unstructured data.
• ➤ Responsible for the Design, build, test and maintain scalable and stable applications to support distributed processing using the Hadoop Ecosystem.
• ➤ Identifying ways to improve data reliability and efficiency.
• ➤ Maintaining data quality for all data ingestion pipelines.
• ➤ Responsible for finding out the root cause of failure, delivering updates to stakeholders based on analysis and then fixing it.
• ➤ Writing testable code for optimal level of code coverage.

Jan 2019 – Aug 2019 · 7 mos

• Key Achievements
• ‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾
• ★ Developed an internal React WebAPI project for Checklist Management System Portal.
• Tool & Framework Used
• ‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾
• ► Languages: NodeJS, JavaScript, CSS, HTML
• ► Framework: ExpressJS , Mocha (Test Framework), SonarQube (Continuous Code Quality Inspection)
• ► Database: MySQL, MongoDB
• ► Documentation: Swagger API

Jun 2021 – Jul 2021 · 1 mo · Remote

• iB Hubs Startup School is a four-week-long student accelerator program where students with innovative ideas are put through intense learning after which, they're ready to successfully build and execute their business plans.
• They learn many things from thinking about their idea and make them executable to apply the learnings in the lifestyle itself.
• My main role here was to guide and mentor them with my knowledge and experience.

Oct 2018 – Jan 2019 · 3 mos · Greater Noida

Aug 2018 – Oct 2018 · 2 mos · Greater Noida

• Money-Wizards, a pioneer company in financial education to bring personal finance awareness
• among college students across India.
• The Youth Money Olympiad(YMO) is administered as a personal finance assessment test in the multiple choice question format. It had been a phenomenal success that reached more than 33,000 students across 400 esteemed colleges from 100+ cities in India including students from the esteemed institutes.
• My job is to promote their event “Youth Money Olympiad” in my college campus. This internship helped me build my communication, marketing and selling skills in the process.

Jun 2018 – Jul 2018 · 1 mo · Lucknow, India · On-site

• iB Hubs Startup School is a four-week long student accelerator program where students with innovative ideas are put through an intense learning after which, they're ready to successfully build and execute their business plans. They learn many things from thinking about their idea and make them executable to apply the learnings in the lifestyle itself.
• I learnt a ton of things which I find helpful in my personal as well as professional life. A few things that I learnt in context of my idea were:
• ➤ Building a product
• ➤ Creating a strong value proposition
• ➤ Creating a pitch
• ➤ Building a strong team
• ➤ Improving myself everyday

Oct 2017 – Jul 2018 · 9 mos · Greater Noida

Aug 2017 – Oct 2018 · 1 yr 2 mos · Greater Noida

Jul 2017 – Aug 2017 · 1 mo · Greater Noida · On-site

• ➤ Gain hands-on experience and practical skills in the dynamic field of industrial automation through this immersive summer internship program.
• ➤ Collaborate with industry professionals, work on real-world projects, and learn to design, implement, and troubleshoot automation solutions.
• ➤ Develop expertise in PLC(Programmable Logic Controllers) programming.
• ➤ Industrial Instrumentation
• ➤ Coding: Ladder Logic